Search results for Superbite

Pintek is an Indonesian financial technology company dedicated to transforming the education sector by providing innovative financial services to students, parents, educational institutions, and education suppliers. Established in 2018, Pintek aims to democratize access to quality education by offering affordable and flexible credit solutions tailored to the unique needs of the education ecosystem. The company is registered with and supervised by the Financial Services Authority (OJK and is a member of the Indonesian Joint Funding Fintech Association (AFPI. Key Features and Functionality: - Student Financing: Pintek offers installment plans for tuition fees, enabling students and parents to manage educational expenses more effectively. This includes the ability to break down lump-sum payments into manageable monthly installments, making education more accessible to low- and middle-income families. - Institutional Financing: The company provides working capital and infrastructure loans to educational institutions, such as schools and universities, to support facility improvements, staff recruitment, and the adoption of digital learning tools. These loans are designed to align with the institutions' cash flow patterns, ensuring financial sustainability. - Supplier Financing: Pintek extends financing solutions to education suppliers, including vendors of IT equipment, textbooks, and other educational materials. This support helps maintain a steady supply chain, ensuring that educational institutions have access to necessary resources without financial strain. Primary Value and Problem Solved: Pintek addresses the critical issue of limited financial access within Indonesia's education sector. By offering tailored financing solutions, Pintek enables students to pursue education without the burden of upfront tuition fees, supports educational institutions in enhancing their facilities and services, and assists suppliers in maintaining a consistent flow of educational materials. This comprehensive approach fosters a more inclusive and higher-quality educational environment across Indonesia.

The Lymphoma Disease State Predictor is an advanced machine learning model designed to assess and predict the progression of lymphoma by analyzing patient-specific data. This tool leverages deep learning algorithms to evaluate various clinical and histological parameters, providing healthcare professionals with a risk score that indicates the likelihood of disease progression. By integrating this predictor into clinical workflows, medical practitioners can make more informed decisions regarding treatment strategies, potentially improving patient outcomes. Key Features and Functionality: - Risk Assessment: Generates a histologic risk score (HRS by analyzing whole slide images from hematoxylin and eosin-stained lymphoma tissues collected prior to therapy. - Deep Learning Integration: Utilizes a convolutional neural network (CNN foundation model, pre-trained via self-supervised learning on a diverse set of over 1 million whole-slide image tiles from various benign and malignant tissue types. - Survival Prediction: Employs a regression head trained using supervised learning to optimize the Cox partial likelihood, using progression-free survival (PFS as a label, thereby predicting the risk of disease progression. - Clinical Validation: Tested on independent cohorts, including patients enrolled in Phase III clinical trials, to ensure accuracy and reliability in real-world scenarios. Primary Value and Problem Solved: The Lymphoma Disease State Predictor addresses the critical need for precise and individualized risk assessment in lymphoma patients. Traditional methods of evaluating disease progression often rely on generalized criteria, which may not capture the nuances of individual cases. By providing a personalized risk score based on deep learning analysis of histological data, this tool enables clinicians to tailor treatment plans more effectively, potentially enhancing patient survival rates and optimizing resource allocation in healthcare settings.

Ektie is an AI-native B2B go-to-market platform where teams hire an autonomous AI team instead of bolting AI features onto an existing CRM. Seven named agents — an SDR, an Account Executive, a Marketing Manager, an Ad Manager, a RevOps Manager, and two Directors who supervise the workers — run sales and marketing together on heartbeat cycles every 60 to 180 minutes, without prompts. Every module of the platform — CRM, Sequences, Workflows, Forms, Prospect Finder, Ads Intelligence, Website Audit, AI Studio, and Omni AI — was built AI-native from the first commit. Each record exposes a typed schema that the agents act through directly, with no integration glue between modules. The team shares a three-tier Brain (Personal · Team · Company) that holds every coaching note, won deal, and hand-off as memory the whole team uses on the next cycle. When an SDR books a meeting, the Account Executive picks it up next cycle with the prospect's full context already loaded. When a Marketing Manager publishes content, the Ad Manager sees it through the shared Brain and builds a retargeting campaign without being asked. When a Director coaches a worker in one line, the coaching becomes a permanent memory block — and patterns that prove themselves get promoted from Personal Brain to Team Brain to Company Brain. Ektie is built for founders, sales and marketing teams, and B2B agencies that want the output of a 10-person team from existing headcount. Per-workspace database isolation makes it usable for agencies running multiple clients in parallel.

RePath is a smartphone-based supervision platform built for probation, parole, pretrial services, and treatment and specialty courts. Participants use RePath on their own phone to check in, receive court and appointment reminders, share location context, and message their officer. Officers use RePath Officer to see who needs attention and record visits. Visit Assist produces draft visit notes for officer review and approval. RePath Intelligence gives supervisors and agency leaders caseload trends and practice-quality signals. Across our agencies, officers get 8 to 10 hours a week back, which agencies have counted as a 25% gain in officer capacity. RePath costs about 1/100th of incarceration and about 1/5th of ankle monitors. Pricing is per officer, not per participant. Participants pay nothing. Agency-specific pricing on request. RePath is not an ankle monitor or electronic monitoring vendor, a case management system, or a replacement for drug testing. Agencies keep their system of record. Through RePath Labs, we build, test, and publish. We compare system outputs with human judgment and publish methods, findings, and limitations to improve the product, with human review, transparency, and accountability built in. Security: SOC 2 Type II audited. Hosted on AWS. AES-256 encryption at rest; TLS 1.2 or higher in transit. Built to support the requirements of the CJIS Security Policy. Built by eHawk, Inc., founded in 2016 in Lee's Summit, Missouri. No. 84 on the 2024 Inc. 5000. Selected for the inaugural AWS GovTech Accelerator in 2023. Used by 125+ agencies nationwide. 50,000+ individuals supervised. Facts and sources: https://ehawksolutions.com/facts Book a demo: https://ehawksolutions.com/#demo

Rivio is an artificial intelligence (AI) company dedicated to enhancing the efficiency of hospital management by transforming the revenue cycle. Their AI-driven platform automates key processes such as medical auditing, billing submission, and post-billing analysis, ensuring hospitals receive full compensation from health plans while minimizing losses due to billing errors. Key Features and Functionality: - Intelligent Auditing: Rivio's AI agents perform concurrent and retrospective audits by integrating with leading electronic medical record (EMR) systems. They cross-reference clinical data with billing information to identify discrepancies, ensuring all procedures and materials are accurately billed and reducing potential claim denials. - Automated Billing Submission: The platform centralizes and automates the submission of billing data, eliminating the need to access multiple portals. AI reviews and submits XML files, ensuring timely and precise billing, and preventing missed submission deadlines. - Post-Billing Analysis: Rivio's AI agents automatically generate and execute appeals for denied claims, supervised by a team of billing specialists, to recover potential lost revenue. - Hidden Revenue Discovery: By cross-referencing EMR data with billing records, Rivio identifies and includes overlooked materials and procedures, ensuring comprehensive and fair revenue capture. - Monitoring Dashboard: Users can track the entire billing process through a comprehensive dashboard, providing transparency and oversight while AI agents and specialists manage the workflow. Primary Value and User Solutions: Rivio addresses the critical challenge of revenue leakage in hospitals by automating and optimizing the revenue cycle. By ensuring accurate billing and reducing claim denials, the platform enhances financial stability and operational efficiency. This allows healthcare institutions to focus more on patient care, confident that their financial processes are streamlined and effective.

Supermachine is a pioneering platform that offers fully hosted and managed Model Context Protocol (MCP) servers, enabling AI agents to seamlessly integrate with a vast array of external tools and services. With access to over 6,500 public MCP servers, Supermachine empowers developers to enhance their AI applications by connecting to services like Gmail, PostgreSQL, GitHub, and more, all with minimal configuration. Key Features and Functionality: - Extensive MCP Server Library: Instant access to a growing repository of over 6,500 public MCP servers, providing a wide range of tools for AI agents. - One-Click Deployment: Simplified setup process allows for the rapid deployment of MCP servers without the need for complex configurations or JSON files. - Broad Client Support: Compatible with various MCP clients, including Superinterface, Cursor, Zed, Claude Desktop, Librechat, and Goose, ensuring flexibility across different platforms. - Secure User Authentication: Offers MCP routers that create per-user MCP instances, enabling secure and isolated authentication for services like Gmail during AI interactions. - Open-Source Commitment: Actively contributes to the AI community by releasing open-source MCP libraries and promoting the use of local models. Primary Value and User Solutions: Supermachine addresses the challenge of integrating AI agents with external tools by providing a managed, scalable, and user-friendly platform. By eliminating the complexities associated with MCP server setup and management, it allows developers to focus on enhancing AI functionalities and delivering richer, more interactive user experiences. The platform's extensive library of public MCP servers and broad client compatibility ensure that users can quickly and efficiently expand their AI applications' capabilities.

RectLabel is an offline image annotation tool designed for object detection and segmentation tasks. It offers a comprehensive suite of features to facilitate efficient and accurate labeling of images, catering to both individual users and larger deployments. Key Features and Functionality: - Advanced Annotation Tools: Supports labeling of polygons and pixels using models like Segment Anything Model 2 and Cellpose, as well as bounding boxes with tracking models. - Automatic Labeling: Utilizes Core ML models for automatic labeling and text recognition, enhancing productivity. - Versatile Labeling Options: Enables annotation of cubic bezier curves, line segments, points, oriented bounding boxes in aerial images, and keypoints with skeletons. - Pixel-Level Annotation: Provides tools for labeling pixels with brushes and superpixels for detailed segmentation. - Customizable Settings: Offers settings for objects, attributes, hotkeys, and fast labeling to tailor the tool to user preferences. - Efficient Management: Features a gallery view for searching objects, attributes, image names, and memos. - Flexible Export Options: Supports exporting to various formats, including COCO, Labelme, CreateML, YOLO, and DOTA, as well as indexed color and grayscale mask images. - Additional Utilities: Includes functionalities like converting videos to image frames and augmenting images. Primary Value and User Solutions: RectLabel streamlines the image annotation process, providing a robust and user-friendly platform for creating precise annotations essential for training machine learning models in object detection and segmentation. Its offline capability ensures data privacy and security, making it suitable for sensitive projects. The tool's versatility and comprehensive feature set address the diverse needs of users, from individual researchers to organizations, facilitating efficient and accurate image labeling workflows.

Asteroid Agents is an AI-powered platform designed to automate complex browser-based workflows, enabling enterprises to deploy supervised AI agents that perform tasks traditionally handled by human operators. By transforming standard operating procedures into functional agents, Asteroid streamlines operations across various industries, including healthcare, insurance, and voice AI, without the need for robotic process automation (RPA), business process outsourcing (BPO), or external development resources. Key Features and Functionality: - Astro Builder: Convert any standard operating procedure into a working AI agent, facilitating rapid deployment of automation solutions. - Multi-Environment Deployment: Run agents seamlessly across different environments, including browsers, Linux, and Windows systems. - Live Supervision: Monitor, intervene, and guide agents in real-time to ensure optimal performance and accuracy. - Comprehensive Integrations: Connect agents to your existing technology stack through APIs, Slack, email, Google Sheets, and more, ensuring smooth integration with current workflows. Primary Value and Problem Solving: Asteroid Agents addresses the inefficiencies and bottlenecks associated with manual browser operations by providing an AI workforce capable of handling repetitive and complex tasks. This solution is particularly beneficial in scenarios where no APIs exist, and traditional automation tools are inadequate. By deploying AI agents that operate under your credentials with full visibility, Asteroid eliminates the reliance on outsourced teams or fragile scripts, offering a scalable and cost-effective alternative. Industries such as healthcare benefit from automated prior authorization processes and electronic health record (EHR) integrations, while insurance companies can expedite quoting and renewal processes across multiple carrier portals. Voice AI applications can also leverage Asteroid to bridge interactions with legacy systems, enhancing overall operational efficiency.

Inboxhiiv is an innovative platform designed for podcast enthusiasts who want to stay updated without feeling overwhelmed. It delivers personalized chapter breakdowns and highlights of your favorite shows directly to your inbox, ensuring you never miss key moments, even when life gets busy. Key Features and Functionality: - Podcast Discovery: Easily search and subscribe to your favorite shows from an extensive podcast directory, covering various genres like tech, business, and storytelling. - Smart Episode Summaries: Receive concise overviews of each episode, highlighting key points, memorable quotes, and main topics, allowing you to quickly grasp the episode's value. - Detailed Chapter Breakdowns: Navigate episodes with precision using timestamped chapter summaries, enabling you to jump directly to discussions that interest you most. - Chapter-by-Chapter Breakdowns: Access skimmable chapters with key quotes and takeaways, making it easy to focus on your favorite topics. - Smart Episode Alerts: Get notified when your favorite guests appear across different shows or when specific topics you care about are discussed in depth. - Intelligent Queue: Prioritize episodes based on your interests, with AI identifying which episodes are most relevant to you, helping you decide what to listen to next. - Cross-Show Connections: Discover related discussions across your podcast library, ensuring you never miss when different shows cover the same topic from unique angles. Primary Value and User Solutions: Inboxhiiv addresses the challenge of managing an overwhelming number of podcast episodes by providing personalized, digestible summaries and insights. It empowers users to stay informed and engaged with their favorite content without dedicating excessive time to listening. By delivering tailored episode breakdowns and intelligent recommendations, Inboxhiiv enhances the podcast experience, making it more manageable and enjoyable for super-listeners.

Zyphra is an open-source superintelligence company based in San Francisco, California, dedicated to developing human-aligned AI systems that empower individuals and organizations to achieve their fullest potential. Their flagship project, Maia, is a multimodal general agent designed to unify knowledge discovery, communication, and work into a single, cohesive platform. Key Features and Functionality: - Next-Generation Architectures: Zyphra focuses on developing AI architectures that support long-context reasoning, long-term memory, and continual learning, enabling more sophisticated and adaptable AI systems. - Multimodal World Models: Their AI agents are designed to perceive, reason, and learn across various modalities, facilitating a deeper understanding and interaction with real-world environments. - Efficient Small Language Models: Zyphra develops compact yet powerful language models optimized for consumer and edge devices, ensuring high performance with reduced computational demands. - High-Quality Dataset Creation: The company produces large-scale, meticulously curated datasets like Zyda-2, enhancing language model performance through rigorous filtering and deduplication processes. - Advanced Text-to-Speech Models: Zyphra's Zonos offers expressive text-to-speech capabilities with high-fidelity voice cloning, providing users with flexible control over vocal attributes and generating speech at 44 kHz. Primary Value and Solutions: Zyphra addresses the growing need for efficient, adaptable, and human-aligned AI solutions. By developing advanced AI architectures and multimodal agents, they enable organizations to integrate sophisticated AI capabilities into their operations, enhancing productivity and decision-making processes. Their focus on creating efficient small language models and high-quality datasets ensures that AI applications are both powerful and accessible, even in resource-constrained environments. Additionally, Zyphra's commitment to open-source and open-science principles fosters collaboration and innovation within the AI community, driving the development of more transparent and ethical AI systems.

Purko is an open-source, Kubernetes-native AI agent platform designed to automate and streamline complex business processes. By declaring AI agents as Kubernetes Custom Resource Definitions (CRDs), Purko enables seamless integration into existing workflows, allowing businesses to orchestrate tasks ranging from marketing campaigns and code reviews to contract analysis. This approach reduces manual effort, enhances efficiency, and ensures consistent execution of processes. Key Features and Functionality: - Kubernetes Integration: Agents are managed as Kubernetes resources, facilitating deployment with `kubectl apply`, GitOps management, and Role-Based Access Control (RBAC) governance. - Multi-Channel Platform (MCP) Connectors: Unify tools such as GitHub, Slack, and Jira into a single agent context, enabling quick and efficient system integration. - DAG-Based Workflows: Orchestrate multi-agent operations with Directed Acyclic Graph (DAG) workflows, supporting fan-out/fan-in patterns, conditional branching, retry policies, and cross-agent data passing for reliable execution. - Graduated Autonomy Model: Agents progress from supervised to fully autonomous states through the Shu-Ha-Ri model, building trust based on measurable reliability and performance. - Pre-Built Agents: Access a catalog of 34 production-ready agents across five categories, including content writing, quality reviewing, data analysis, research, and code execution, each customizable to specific business needs. Primary Value and Problem Solved: Purko addresses the inefficiencies of manual, repetitive tasks that consume significant time and resources in business operations. By automating these processes with AI agents, Purko reduces the need for constant human oversight, minimizes errors, and accelerates task completion. Its integration with Kubernetes ensures scalability and reliability, while the graduated autonomy model builds trust in AI-driven operations. Ultimately, Purko empowers organizations to focus on strategic initiatives by offloading routine tasks to intelligent agents, enhancing overall productivity and operational efficiency.

Oration by Convai is a cloud-based, AI-powered call routing solution designed to enhance contact centre efficiency and customer satisfaction. By integrating seamlessly with existing infrastructure, Oration reduces average handling times, deflects unnecessary calls, and delivers faster resolutions. Its user-friendly interface allows for quick implementation without the need for extensive technical expertise. Oration's advanced speech recognition technology greets callers with a simple question: "How can I help you today?", enabling natural language understanding to determine caller intent and direct them to the appropriate outcome. Key Features and Functionality: - Advanced Speech Recognition : Converts natural spoken language into text to accurately interpret caller intent. - Intelligent Call Routing : Efficiently matches high volumes of calls to the most suitable outcomes, reducing wait times and improving first-contact resolution. - Ongoing Supervised Learning: Continuously refines the system's understanding of caller language to enhance accuracy over time. - Contact Centre Agent View: Provides agents with caller information before answering, enabling quicker and more personalized responses. - Graphical User Interface Dashboard: Allows for the creation and management of customer journeys and the generation of insightful reports. - Voice Verification: Utilizes voice biometrics for secure and efficient caller identification. - Automated KYC Verification: Automates the process of confirming caller identities, ensuring compliance and security. - Oration Chatbot: Deploys intelligent chatbots to handle customer interactions, providing self-service options and reducing agent workload. Primary Value and Solutions Provided: Oration addresses common contact centre challenges by streamlining operations and enhancing customer experiences. It reduces operational costs through efficient call routing and self-service options, decreases average handling times by preparing agents with caller information in advance, and improves customer satisfaction by providing prompt and accurate responses. Additionally, Oration's scalable and cost-effective model makes it accessible to contact centres of all sizes, ensuring that businesses can deliver exceptional service without significant upfront investment.

Experian's Behavioural Biometrics and Device Intelligence solution is designed to enhance fraud detection and prevention by continuously monitoring user interactions and device attributes throughout the customer journey. By analyzing behavioral patterns and device characteristics, this solution helps businesses distinguish between legitimate users and potential fraudsters, thereby reducing fraud losses and improving compliance with regulatory requirements. Key Features and Functionality: - Continuous Monitoring: The solution observes user behavior and device signals in real-time, from account opening to ongoing account management, enabling early detection of suspicious activities. - Behavioral Biometrics: Analyzes user interactions such as typing patterns, mouse movements, and navigation habits to identify anomalies indicative of fraudulent behavior. - Device Intelligence: Assesses device attributes, including operating system, device fingerprinting, and geolocation, to detect inconsistencies and potential risks. - Integration with CrossCore: Delivered through Experian's CrossCore platform, offering a unified view of fraud risk and seamless integration with existing fraud prevention tools. - Machine Learning Models: Utilizes supervised machine learning to optimize fraud detection while minimizing false positives, enhancing decision-making accuracy. Primary Value and Problem Solved: Experian's Behavioural Biometrics and Device Intelligence solution addresses the growing challenge of sophisticated online fraud by providing a multi-layered defense mechanism. It enables businesses to: - Enhance Fraud Detection: Identify and prevent complex fraud schemes, including account takeovers and identity theft, by analyzing behavioral and device-related anomalies. - Improve Customer Experience: Offer a frictionless user experience by passively monitoring interactions without additional authentication steps, reducing customer frustration. - Ensure Regulatory Compliance: Support compliance with Know Your Customer (KYC) and Anti-Money Laundering (AML) regulations by providing comprehensive insights into user behavior and device usage. - Reduce False Positives: Leverage advanced analytics to accurately distinguish between legitimate users and fraudsters, minimizing unnecessary disruptions for genuine customers. By integrating behavioral biometrics and device intelligence, Experian empowers organizations to proactively combat fraud, safeguard customer trust, and maintain regulatory compliance in an increasingly digital landscape.

Attach2Dynamics Attach2Dynamics integrates with multiple cloud storages like SharePoint, Dropbox and Azure Blob Storage to provide seamless attachment management from within Dynamics 365 CRM. With its user-friendly UI, users can perform multiple actions such drag & drop files/folders, upload/download files/folder, create, email, delete, preview files/folders, etc. with ease. It enables easy storage and management of attachments in a cloud storage of your choice. With bulk migration of Email/Notes/Sales Literature to cloud storages the issue of running out of disk space in CRM is now virtually non-existent. Attach2Dynamics is available for all deployment models beginning Dynamics 365 8.2 and Dataverse (Power Apps). Features • Drag and Drop: Drag and drop files/folders to Dropbox, SharePoint, and Azure Blob Storage • File Management: Upload/ Download multiple files or folder to all three cloud storages with ease. • Create Folders: Create folders as per requirement on cloud storages • Anonymous Link: Generate anonymous link of files and folders to share multiple files/attachments from Dynamics 365 CRM • Search: Deep Search files in the current and child folders to easily find a specific file • Email: Directly attach files or link of file(s) from cloud storages to a Dynamics 365 CRM email • Copy/Move Attachments: Copy/Move Notes, Email, and Sales Literature Attachments to cloud storage systems • Bulk Move Attachments: Move history Notes/Email/Sales Literature attachments in bulk to cloud storages • Access Control of Actions: Supervise user actions on use of various features of Attach2Dynamics such as Upload, Download, Email, etc. with Security Templates • Delete: Delete unwanted files from all three cloud storages • View Files: Preview files before downloading or sharing them • Single Sign-on: Perform all actions in the context of logged-in user • Open Folder: Open folders present on SharePoint Site directly using Attach2Dynamics UI

AI-powered PK–12 student success platform with predictive analytics and early intervention. AI-Powered Student Success & Early Intervention Platform for PK–12 School Districts Edvision Whole Child Analytics is an AI-powered student success platform that enables PK–12 school districts to unify academic, attendance, behavior, social-emotional learning (SEL), assessment, and operational data into a single, comprehensive view of every student. Designed for district leaders, principals, counselors, and student support teams, the solution transforms fragmented educational data into actionable insights that help identify at-risk students earlier, prioritize interventions, improve student outcomes, and support data-driven decision-making. Unlike traditional reporting tools, Whole Child Analytics continuously analyzes data from multiple enterprise systems to uncover hidden trends, detect early warning indicators, and provide predictive insights that empower educators to intervene before students fall behind. Key Capabilities Unified 360° student profile across multiple education systems Predictive Early Warning System (EWS) powered by AI Academic, attendance, behavior, and SEL analytics Longitudinal student growth tracking Intervention planning and outcome monitoring Executive dashboards and district-wide KPI reporting Secure role-based access and governance Integration with Student Information Systems (SIS), Learning Management Systems (LMS), assessment platforms, ERP systems, and other district data sources Business Benefits Improve student achievement and graduation outcomes Detect academic and behavioral risks earlier Increase intervention effectiveness Eliminate data silos across departments Enable district-wide data-driven decision making Reduce manual reporting effort Support strategic planning through predictive analytics Target Organizations PK–12 School Districts Charter School Networks State Education Agencies Regional Education Service Centers Users Superintendents Chief Academic Officers Principals Counselors Student Support Teams District Leadership Deployment Model Edvision Whole Child Analytics is delivered as a secure cloud-based enterprise solution. Each implementation is configured to meet the operational, integration, governance, and reporting requirements of the individual school district.

DataObserve is a B2B AI company that builds governed AI agents, domain models and the infrastructure to run them. The idea behind the company is simple: enterprises should own the AI they depend on, and people should stay in charge of the decisions it supports. The product line covers distinct kinds of work. DataObserve Coworker connects company knowledge, apps and teams. It reviews contracts against a legal team's playbook (HTML or PDF), reads contracts in .md, .html, .doc or .pdf, and returns suggested redlines as tracked changes. For sales teams it drafts account briefs and follow-ups from Salesforce records and fills imported RFP and security questionnaire files from approved content. DataObserve Developer runs four agents across software delivery: Software Delivery, Security Testing, Runtime Protection and Cost Management, governed by policy as code. DataObserve Sense is an observability platform for logs, metrics, traces and AI telemetry, with an AI SRE and log storage on object storage designed to lower storage costs without cutting retention. DataObserve Scientist gives analysts and domain experts a shared, visual research workflow with evidence-linked findings. DataObserve S.A.F.E assesses cyber exposure, quantifies risk in financial terms with the FAIR model and helps security leaders publish board reports as HTML, PDF or embeddable reports from board templates. DataObserve Flow is an agentic case platform on BPMN, CMMN and DMN for processes such as KYC onboarding and prior authorization. DataObserve Model Training offers supervised fine-tuning with LoRA on Qwen 32B, served through an OpenAI-compatible endpoint. DataObserve deploys however each customer needs: on DataObserve managed cloud, in the customer's VPC, on-premises or on the customer's own GPU cluster, in one or several of these combined. Integrations include Salesforce, plus shared drives, SharePoint and OneDrive. Agents work within each person's permissions, consequential actions wait for human approval, and every action is logged. The platform is built with SOC 2 controls in mind.

Eclipta is an omnichannel cloud contact center (CCaaS) built and operated by Axiona360. It gives customer service, sales and collections teams a single place to handle every conversation: voice calls, WhatsApp Business, Telegram, web chat and email. Agents work from any web browser with a built-in softphone, so there is no hardware to buy and no software to install. Route every interaction to the right person. Design your call and chat flows on a visual drag-and-drop canvas: IVR menus with keypad and speech input, chatbots, queues with automatic distribution, business hours with holidays, voicemail and callback. Sell and collect more. Run outbound campaigns from your customer lists, with predictive and progressive dialing, click-to-call from the browser, a do-not-call list, call dispositions and custom forms for each contact. Collections teams record every payment promise and follow up on it. Automate with AI. Bots answer frequent questions 24/7, query your own systems through APIs and hand the conversation to an agent with full context. AI summarizes every chat when it is closed, and speech recognition captures data in the IVR. Supervise and measure. Supervisors see queues and agents live, listen to recordings, download conversations, run satisfaction surveys after calls and chats, and export reports on contacts, abandoned calls and agent pauses. Made to fit your operation. What sets Eclipta apart is that Axiona360 owns the platform and has its own development team. We build custom integrations with your CRM or ERP, tailored flows, dashboards and new features for your operation, and we keep improving them with you. Eclipta runs on AWS, Google Cloud and Cloudflare, with roles and permissions per user, and each customer's data kept in its own isolated space. You can keep your phone numbers and SIP trunks when you move from an on-premise PBX or a traditional call center. Setup takes days, not months, and you add or remove users whenever you need to. Eclipta is available in Spanish, English, French and Portuguese. Pricing is per user per month, starting at 5 users, and every plan is quoted to fit your operation.

We solve the hardest problems of small and medium-sized companies and startups with AI, and we implement AI where it brings a measurable effect. First we find the one problem that holds the company back the most. Then we solve it and stay until the change works. What companies come to us with: – knowledge sits in the heads of the owner and a few people, and the company stops when they are not there; – sales and customer service drown in repetitive enquiries, quotes and emails; – data sits in spreadsheets, the CRM and inboxes, but nobody gets a picture from it to make decisions; – the team uses ChatGPT on its own, without rules and without control over company data; – the owner knows AI can help, but does not know where to start or whom to trust. How we work: 1. Diagnostic in 5 working days (from PLN 4,900 net): interviews, a review of processes and data, a 90-day plan with costs and sequence. 2. Implementation (30-day Sprint or 90-day Program): the company's knowledge base and AI assistants on its own data, automations in sales, marketing and operations, in the tools the company already has. 3. Team training and rules for using AI: an AI policy, data protection, a human always makes the decision. 4. If the company wants: a Chief AI Officer at ¼ or ½ time who carries the changes forward. What the company gets: less manual work, knowledge that does not disappear when an employee leaves, faster answers for customers and decisions based on data. Everything we build remains the client's property. Why us: over 12 years in large corporations we saw that good decisions are made on systems, not on gut feeling. We test these methods on our own companies first (ZANA Cosmetics, Superblends, ZU_O Creative Agency), and only then implement them for clients. Prices are public, timelines are fixed, and if the solution does not work, we keep working at no extra charge. We do not sell AI as a way to lay people off. We work with at most 2 companies at a time. Book a free 30-minute call at skrits.com.

Altair® FlowTracer™ is an advanced platform designed for developing, visualizing, and executing complex design workflows. It enables users to create, manage, and optimize design flows across various applications, including semiconductor design, algorithm evaluation, software development, and artificial intelligence and machine learning workflows. By analyzing and identifying inherent parallelism within these workflows, FlowTracer optimizes the utilization of compute resources both on-premises and in the cloud. Its unique tracing technique manages dependencies between files and tools by interacting with them during execution, ensuring accurate and efficient flow management. Key Features and Functionality: - Flow Visualization and Analysis: Provides comprehensive visualization of complex workflows, allowing users to identify and analyze dependencies and parallelism within their design flows. - Real-Time Reporting: Features a powerful Grid View report that displays the results of millions of running jobs, highlighting failing jobs for quick identification, debugging, and resolution. - Dependency Management: Utilizes a unique tracing technique to manage dependencies between files and tools by interacting with them during execution, ensuring accurate and efficient flow management. - Parallel Execution: Identifies inherent parallelism within workflows to optimize compute resource utilization, enabling faster execution and improved scalability. - AI and Machine Learning Integration: Supports AI and machine learning workflows using popular development languages, including Python, Julia, and Jupyter Notebook, facilitating seamless integration into existing workflows. - REST-Based Access and JSON-Based Flow Description: Offers a full REST API for defining and controlling flows in preferred languages, and utilizes JSON-based Flow Definition Notation for efficient transfer of workflow definitions. - Cross-Platform Compatibility: Operates across various platforms, including Windows and Linux x86/ARM, and supports multiple operating modes such as interactive, supervised, and batch modes. Primary Value and User Solutions: FlowTracer addresses the challenges of managing complex design workflows by providing tools for visualization, dependency management, and parallel execution. For designers, it enhances productivity through improved flow control and faster turnaround times. Infrastructure teams benefit from better resource utilization and scalability due to its small memory footprint and built-in scheduler. Management gains from reduced design flow complexity, leading to higher-quality results and improved collaboration through standardized workflows. Overall, FlowTracer streamlines the development process, reduces errors, and accelerates project completion by optimizing the execution of intricate design flows.

Kempian AI is a comprehensive workforce intelligence platform designed to enhance talent and workforce decisions by integrating AI-driven insights with existing systems. It transforms fragmented data from Applicant Tracking Systems (ATS), Human Resource Information Systems (HRIS), Vendor Management Systems (VMS), and Customer Relationship Management (CRM) platforms into clear, actionable intelligence. This enables organizations to verify skills, predict role and team fit, and identify workforce risks, thereby supporting faster and more defensible talent decisions. Key Features and Functionality: - AI Confidence Scoring: Provides explainable, supervised AI matching with factor-level transparency, ensuring every decision is supported by clear, understandable data. - Talent Intelligence: Offers real-time insights into available talent pools, including skill clusters, location, and availability, allowing organizations to assess their workforce before opening new requisitions. - Seven AI Digital Workers: Automates various stages of the hiring process through agents like Morgan (Digital Delivery Manager), Aria (Digital Sourcer), Max (Digital Matcher), Nova (Digital Recruiter), Quinn (Digital Evaluator), Cal (Digital Scheduler), and Rex (Digital Submission Manager). Each agent operates within a defined scope and includes human review gates to ensure compliance and accuracy. - Command Center: Provides a centralized orchestration layer that surfaces critical information, offers AI-driven insights, and suggests next best actions, enabling efficient management of the entire workforce lifecycle. Primary Value and Solutions Provided: Kempian AI addresses the challenges of fragmented workforce data and the need for precise, informed talent decisions. By adding an intelligence layer atop existing systems, it enables organizations to: - Verify Skills and Credentials: Ensures precision in assessing candidate qualifications, reducing the risk of misalignment. - Predict Role and Team Fit: Utilizes behavioral and contextual signals to forecast how well candidates will integrate into roles and teams. - Identify Workforce Risks: Surfaces potential issues such as misalignment, overload, or delivery friction, allowing proactive management. - Enhance Decision-Making: Supports faster, more defensible talent decisions through explainable AI outputs suitable for enterprise and regulated environments. By seamlessly integrating with existing ATS, HRIS, VMS, and CRM platforms, Kempian AI empowers enterprises, staffing agencies, and job seekers to make confident, data-driven workforce decisions without the need to replace their current systems.