Search results for Made With ML

SoftPak Financial Systems was founded in 1994 and specializes exclusively in enterprise software development, software integration and consultant placement for the financial sector. The company is headquartered in Wayland Massachusetts and has 100 employees worldwide, consisting of product and project managers, developers, QA experts. Our offshore development center, Matrix Systems, is ISO 9001:2015, ISO 27001 (ISMS) certified and working towards CMMI ML 3 with completed Class-C appraisal. SoftPak’s clients are among the leading financial institutions in the country. We have built strong, loyal relationships based on personalized service and close attention to quality and detail. SoftPak’s expertise in developing intuitive software solutions to complex business challenges have made it a proven partner for leading global financial institutions. Our technical consultants bring with them extensive experience in financial services software development, which enables us to integrate quickly with internal business and IT teams.

FSQ Spatial H3 Hub eliminates traditional barriers to geospatial data adoption in traditional ML models by providing data scientists with analysis-ready datasets that do not require specialized geospatial tools or expertise. Datasets containing information in raster and vector formats are converted to tabular form and indexed to H3 cells. This allows data scientists to easily enrich their own datasets, containing attributes like lat/long coordinates, city names, or zip codes, by joining on a common H3 index. Built on DataHub‘s enterprise metadata management system, the platform ensures data lineage tracking, versioning, and governance capabilities that enterprise data teams require. This foundation enables the first offering in the FSQ Spatial H3 Hub: an Iceberg Catalog that offers 20+ open datasets pre-indexed to H3 cells at resolution 8, made available in a free preview. Data scientists can access this catalog from their framework of choice (Spark, Python, DuckDB) and augment their ML models with a rich array of spatial features.

proxiML offers a scalable AI infrastructure platform tailored for generative AI applications, enabling businesses to deploy and manage customized AI services efficiently. The platform addresses challenges associated with fine-tuning models for specific users or styles, which often necessitate managing numerous model versions and performing on-demand inference. proxiML's serverless GPU infrastructure allows for parallel execution, model and checkpoint management, and programmatic invocation, ensuring cost-effective and scalable AI operations. Additionally, the platform supports hybrid and multi-cloud deployments through its CloudBender™ technology, allowing seamless integration of on-premise and cloud resources without altering existing code or pipelines. This flexibility ensures that businesses can scale their generative AI solutions while maintaining control over infrastructure costs. Key Features and Functionality: - Serverless GPU Infrastructure: Facilitates scalable and cost-effective AI operations with features like parallel execution, model management, and programmatic invocation. - On-Demand Inference: Enables inference with specific models only when a customer request is made, optimizing resource utilization. - Scalable Fine-Tuning: Supports parallel execution of multiple fine-tuning tasks, allowing rapid onboarding of customers. - Hybrid/Multi-Cloud Deployment: Utilizes CloudBender™ technology to integrate on-premise and cloud resources seamlessly, providing flexibility and cost savings. Primary Value and Solutions Provided: proxiML empowers businesses to deliver personalized generative AI services without the complexities of managing extensive model versions or incurring prohibitive infrastructure costs. By offering a serverless, scalable platform with hybrid deployment capabilities, proxiML ensures that companies can efficiently develop, deploy, and manage AI solutions tailored to their customers' needs, thereby accelerating time-to-market and enhancing overall AI adoption.

Botodata is a machine learning, data science, AI and software development company. We design, develop and deploy machine algorithms made specifically for you. We're inspired by the capability of ML and AI to transform any business, and we're happy to be involved. We started Botodata in 2019 with an idea to combine science, technology, and business to build the future. After getting a university degree in computer science, our lives could never be the same again. We wanted to solve real-world problems using our knowledge of programming, mathematics, and statistics. This quest for self-realization brought us in software development. We started building web applications using Python. About 10 years later, the world changed and what was not possible before, became possible. We founded Botodata because we're excited about advances in machine learning and AI, and we want to use the benefits they provide to make businesses more efficient, less hand-operated, and more profitable. We are a new company that thinks and acts like a startup. We’re small, fast, and active. What's ahead of us is unknown, but we're excited to build the future.

CrossClassify is a Fraud detection solution designed to protect businesses against cyber attacks. By leveraging machine learning, artificial intelligence, and behavioral biometrics, we provide robust protection for online applications. Crossclassify protects user accounts against the following threats: 1. Account Takeover - Malware (Stolen session tokens) - Remote Access Attacks - Credential Stuffing - Phishing Attacks - SIM Swapping and Stolen Devices 2. New Fake Account - New Account Fraud (Fake Accounts) - Bot Detection We crafted the tool using the latest technologies: AI & ML, Behavioral Biometrics, Link Analysis, and Digital Footprints to provide your online customers with exceptional protection. Alongside Accounts Security, we offer easy and Flawless Integration in just one day. Also, we know how your online users hate additional login steps, therefor we made their user experience smooth and frictionless. At CrossClassify, we envision a future where every organization, regardless of size or industry, can operate securely and thrive in a digital ecosystem. Our mission is to provide unparalleled protection to ensure the safety and integrity of your customer accounts.

The Cadence Jasper Formal Verification Platform empowers designers with smart proof technology and machine learning to detect and address bugs early in the design cycle. Tailored for C/C++ and RTL verification, it ensures exhaustive coverage, uncovering corner-case bugs that traditional simulation may miss. The platform boosts productivity, streamlines debugging, and provides signoff-accurate formal coverage integrated with vManager for seamless verification management. With specialized apps for algorithm-heavy applications like AI, ML, and image processing, Jasper delivers efficiency and precision, transforming the verification process for modern, complex designs.

Trimpixel empowers sales teams to plug funnel leakages with actionable insights. Trimpixel captures and analyzes your customer interactions to determine the best actions for winning the deal. Trimpixel is built on a progressive ML approach, deploying individual models for each organization. Providing you with your own executive smart scriber for each meeting. Measure what matters withTrimpixel Dashboard. It is the only solution built to address the needs of Sales, Coaching, Growth teams and Founder's office with deep segmentation, collative insights, selling style scores, and call cadence scores. For more information, please visit trimpixel.com

Most AI tools are good at reasoning and writing. They are not good at telling you which customer is about to churn, which lead will actually close, or how much inventory you will need next quarter. That takes a model trained on your own history, not a generic assumption borrowed from the internet. EasyDeploy AI is the no-code platform that builds that model for you. Export a CSV from the tools you already run, whether that is QuickBooks, HubSpot, Salesforce, Shopify, NetSuite, or a plain Google Sheet, then point to any outcome column in your history: churned, closed, late, converted. EasyDeploy tests thousands of model configurations against your data, keeps only the best performer, and deploys it automatically. You get a ranked list back: which accounts to save first, which leads to call first, which invoices to chase first. There is no feature engineering to do and no infrastructure to manage. Every model ships with a plain-language performance report so you can see what it gets right before you rely on it, along with the fields that actually drove the prediction. Teams already working in Claude can skip the app entirely. EasyDeploy AI includes an open-source MCP connector, so Claude can upload a dataset, train a model, read the report, and return predictions as part of a normal conversation. Claude handles the reasoning. EasyDeploy handles the prediction. Common starting points include: Churn risk : rank customers by cancellation probability so retention outreach lands before the decision is made Lead scoring: rank pipeline by close probability so sales time goes to the right accounts Demand forecasting: plan inventory and staffing from your own order history instead of a guess Invoice risk: flag which receivables are unlikely to pay on time, before they go stale Plans start free, with no credit card required, and scale from a single test endpoint to always-on live scoring for production use cases. Your data is encrypted, used only to train your own models, and never sold. Built by a Princeton-educated engineer with a background in production ML systems at Audible and Amazon, EasyDeploy AI is built for the businesses everyone else's AutoML platforms priced out: teams with real data and real decisions to make, but no data science and engineering department to make them with.

Learning Spiral AI is a trusted data annotation partner empowering AI and ML teams across the globe to build smarter, faster, and more accurate computer vision systems. With over 300+ skilled annotators and a proven track record in delivering high-quality labeled datasets, we specialize in human-in-the-loop annotation for complex visual data—ranging from images and videos to LiDAR, medical scans, satellite imagery, and more. Our mission is to streamline the data pipeline for companies working in autonomous vehicles, smart surveillance, agriculture, medical imaging, geospatial analytics, and retail AI and other fields. Whether you're training your first computer vision model or scaling to production, we adapt quickly with flexible workflows, competitive pricing, and domain-trained resources. We operate with a strong focus on: Accuracy: Every dataset goes through a strict QA process designed to exceed industry benchmarks. Tool Flexibility: We work on industry-standard tools and also integrate seamlessly with your in-house platforms. Speed & Scalability: Ramp up annotation teams quickly without compromising quality—ideal for startups and enterprises alike. Free Pilot Projects: We offer a no-commitment pilot to demonstrate our quality before scaling further. Learning Spiral AI has helped companies reduce annotation costs by up to 40%, improve model accuracy, and accelerate time-to-market by weeks. Our client-centric approach and transparent processes have made us the preferred annotation partner for AI-driven innovation. If you're looking to turn raw visual data into reliable, production-ready datasets—Learning Spiral AI is ready to collaborate.

Cosmos Thrace is a Databricks Silver Partner and ISO 9001/27001-certified data and AI consultancy headquartered at Sofia Tech Park, Bulgaria. We design and deliver Databricks Lakehouse platforms, enterprise data strategies, and production-ready AI solutions for clients across Europe and North America. Our core services span three pillars: Databricks consulting and implementation (architecture design, Delta Lake and Medallion pipelines, Unity Catalog governance, migration from legacy systems like Teradata, Oracle, Hadoop, and Snowflake), enterprise data modernization (data engineering, BI and analytics, governance frameworks), and AI enablement (predictive and prescriptive analytics, Generative AI and RAG, computer vision, and agentic AI). We hold professional certifications across the full Databricks stack, Data Engineering, ML Engineering, Generative AI, and Analytics, and are recognized as a Databricks Silver partner. What sets us apart is that, unlike most consultancies that start strong and fade, we don't. You get the same dedication, the same personal attention, and the same drive to overdeliver on the last day of a project as you did on the first. Our clients stay with us because we treat their business like our own. 100% retention. 60+ projects. $50M+ saved. The extra mile with an extra smile isn't a slogan. It's a promise.