Search results for Out of the Sandbox

Draft'n Run is an open-source, no-code platform that enables teams to design, test, and deploy production-ready AI workflows efficiently. It offers a visual interface for building complex AI agents without coding, real-time testing environments, and comprehensive monitoring tools to ensure transparency and control throughout the AI development lifecycle. Key Features and Functionality: - Visual Workflow Builder: Utilize a drag-and-drop interface to create sophisticated AI agents and workflows without writing code. - Real-time Testing: Test AI workflows in an interactive sandbox environment, allowing for immediate validation and iteration. - Comprehensive Observability: Monitor AI operations with detailed execution tracing, performance analytics, and cost optimization recommendations. - Open-Source and Self-Hosting Options: Deploy on-premise or use managed cloud services, ensuring full data ownership and compliance with security requirements. - Integration with Major LLM Providers: Connect seamlessly with leading language model providers such as OpenAI, Anthropic, Google Gemini, and Mistral, as well as custom models. Primary Value and Solutions Provided: Draft'n Run democratizes AI development by eliminating the need for extensive coding, enabling rapid deployment of AI features. It addresses common challenges in AI integration by providing tools for observability, compliance, and budget control, ensuring reliable and scalable AI operations. Organizations can accelerate their AI initiatives, reduce development time, and maintain full control over their AI workflows without vendor lock-in.

Transactpay (operated by Transactworld Digital Services) is an enterprise-grade financial technology platform built to streamline online transaction processing, merchant acquiring, and liquidity management. Designed for digital merchants, platforms, and high-volume enterprises, Transactpay provides flexible payment gateway infrastructure that bridges local payment methods with global card networks. Core Capabilities & Product Architecture: International & Local Payment Acquiring: Process card payments globally, including exclusive acceptance capabilities for American Express (Amex), Visa, Mastercard, and local bank transfers through a single integration. Always-On Real-Time Settlement (Transactpay Ultra): Access 365-day T+0 automated settlement rails. Enterprise merchants receive collections in real time, eliminating weekend and public holiday settlement lags. Tiered Business Solutions: Transactpay Lite: A streamlined setup built for SMEs and digital sellers to manage payment links, digital storefronts, and basic record-keeping. Transactpay Pro: Scaling tools for high-velocity merchants needing advanced API access, automated sub-accounts, and quick developer integrations. Transactpay Ultra: Dedicated enterprise infrastructure providing high uptime guarantees, custom API rate limits, and 24/7 instant liquidity. Developer-Friendly Integration: Clean API documentation, sandbox testing environments, and pre-built plugins for popular e-commerce platforms. Partner Network Infrastructure: Dedicated framework allowing agencies, platforms, and software vendors to integrate payment rails and monetize transaction volume within their own ecosystems.

Devin, developed by Cognition Labs, is an autonomous AI software engineer designed to independently handle complex software development tasks. Operating within a cloud-based sandbox environment equipped with a browser, terminal, code editor, and shell, Devin can plan, code, test, and deploy applications with minimal human intervention. Key Features and Functionality: - Autonomous Task Execution: Devin can independently plan and execute software development tasks, including writing code, running tests, debugging, and deploying applications. - Seamless Integrations: It integrates with popular tools such as Slack, Microsoft Teams, Linear, Jira, GitHub, GitLab, and Bitbucket, facilitating smooth task delegation and collaboration. - API Access: The Devin API allows for programmatic invocation, enabling integration into continuous integration (CI) pipelines for automated fixes and bulk refactoring across multiple repositories. - Advanced Capabilities: Features like DeepWiki for repository indexing and Devin Review for pull request assessments enhance codebase understanding and review processes. - Enterprise-Grade Compliance: Devin adheres to compliance standards including SOC 2 Type 2 and ISO 27001:2022, ensuring secure and reliable operations. Primary Value and Problem Solving: Devin addresses the challenge of resource-intensive software development by automating routine and complex engineering tasks. This automation allows human engineers to focus on more strategic and creative aspects of development, thereby increasing overall productivity and efficiency. By integrating seamlessly with existing tools and workflows, Devin enhances collaboration and streamlines the development process, making it a valuable asset for engineering teams aiming to achieve ambitious goals.

Flashduty is an incident response platform for engineering, DevOps, and SRE teams. It consolidates alerts from monitoring tools, cloud platforms, and custom sources into a single stream, reduces duplicate and low-signal notifications through rule-based and intelligent grouping, and routes what remains to whoever is on call. Alert aggregation and noise reduction. Flashduty ingests alerts from 50+ sources including Prometheus, Grafana, Zabbix, Nagios, Sentry, Splunk, AWS CloudWatch, Azure Monitor, Google Cloud Monitoring, Alibaba Cloud, Tencent Cloud, and Huawei Cloud. Incoming events pass through a pipeline that normalizes fields, enriches labels, filters known-noise patterns, and groups related alerts into one incident thread. Storm detection and flapping detection suppress repeated firing from an unstable source. On-call management. Schedules support rotations, multi-level escalation policies, primary and backup roles, severity- and time-window-based routing, and follow-the-sun handoffs across time zones. Escalation continues automatically until someone acknowledges. Notification delivery. Nine channels are supported: mobile push, phone call, SMS, email, Slack, Microsoft Teams, Feishu/Lark, DingTalk, and WeCom. Phone and SMS act as fallbacks when chat channels go unacknowledged, and each user sets per-severity preferences. Incident response. A war room can be opened in Slack, Feishu, DingTalk, or WeCom in one step. Acknowledging, escalating, and resolving work from inside the chat, and those actions sync back to the incident timeline. After resolution, Flashduty drafts a postmortem from the alert payload, timeline, and war-room discussion for the team to edit collaboratively, with action items tracked to tickets. Status pages. Public and internal status pages report component-level availability tied to incident history, with custom domains, branding, email and RSS subscriptions, and chat notifications for internal pages. AI SRE (beta). An agent correlates telemetry, investigates an incident, proposes likely root causes, and recommends next steps. It supports reusable skill flows, knowledge packs, MCP tool access, and either a hosted sandbox or a self-hosted runner inside the customer network. Integrations and automation. Bidirectional sync with Jira, ServiceNow, and ServiceDesk Plus; inbound and outbound webhooks; custom actions; an open API with 288 endpoints; plus a Go SDK, CLI, Terraform provider, and MCP server. Deployment. Available as a hosted service with a free tier for up to five users, Standard at $14 per user per month, and Professional at $29 per user per month. A private deployment option covers on-premises data retention, network isolation, and LDAP integration. Interface and documentation are available in English and Chinese.

Sensei Copilot is an advanced AI-powered interview assistant designed to provide real-time, personalized support during live interviews. By integrating seamlessly with major video conferencing platforms, it offers instant, tailored responses to both technical and behavioral questions, enhancing candidates' confidence and performance. Key Features and Functionality: - Real-Time Assistance: Delivers immediate, context-aware answers during live interviews, ensuring candidates remain composed and articulate. - Personalized Responses: Utilizes user-uploaded resumes and personal stories to generate authentic, customized answers that reflect individual experiences and qualifications. - Coding Copilot: Offers specialized support for technical interviews, assisting with coding challenges across various platforms. - Multi-Language Support: Supports over 30 languages, enabling global users to receive responses in their preferred language. - Seamless Integration: Compatible with major video conferencing tools, including Zoom, Microsoft Teams, and Google Meet, ensuring a smooth user experience. - AI Playground: Provides a sandbox environment for users to familiarize themselves with the AI's capabilities before live interviews. Primary Value and User Solutions: Sensei Copilot addresses common challenges faced by job seekers, such as interview anxiety, unpreparedness, and the need for personalized guidance. By offering real-time, discreet assistance, it empowers candidates to navigate interviews confidently, articulate their experiences effectively, and tackle technical questions proficiently. This comprehensive support system significantly enhances the likelihood of securing desired job offers.

ShipClaw is managed hosting for Claude-powered AI agents built on OpenClaw, Anthropic's open-source agent runtime. Sign up is free with 25 trial credits; users pick from pre-built personalities or define their own with a single SOUL.md file, paste a Telegram bot token, and have a Claude-powered agent on Telegram in under 60 seconds. No SSH, no Docker, no Anthropic API key to manage. Pricing is pay-per-credit with no monthly subscription. The minimum paid top-up is a $15 credit pack (1500 credits at ~$0.01 per credit). Larger packs unlock bonus credits — 10% at $25, 20% at $50, 30% at $100, 40% at $200. Credits don't expire on a monthly cadence; you burn them down on real usage. Idle agents cost nothing. The platform is built on a shared-pool architecture: each container hosts up to ~50 Claude agents, with atomic Postgres-level user assignment to handle burst signups. Each user runs in an isolated sandbox with a 1.5 GB memory watchdog and a 15-minute idle timeout (1 hour for Telegram-bound agents). The bundled stealth browser engine lets agents browse the live web and bypass CAPTCHA-class checks. ShipClaw is Anthropic-only by design — single-model focus enables predictable unit economics for pay-per-credit billing. There is no bring-your-own-key option; ShipClaw holds the Anthropic API contract on the customer's behalf. OpenClaw itself is open source and self-hostable for users who prefer that path.

Who Sees What is a Salesforce permission and access audit tool for security, compliance, and admin teams. It connects to a production org or a sandbox through Salesforce OAuth, reads only access metadata (never business-record contents), and resolves the Salesforce access layers (profiles, permission sets, groups, roles, sharing rules, queues, teams, and managed-package defaults) into one answer: who can see a given record or field, and the exact grant that lets them. The audit flags overexposed profiles and permission sets that grant broad object, field, or system access beyond what a role needs; sensitive data paths to regulated fields, revenue data, customer records, and internal-only objects; and dormant access that still carries meaningful rights after the business process moved on. It produces audit-ready evidence: a concise report with findings, severity, affected users, and the specific grant behind each one, so the admin team knows what to fix first. Ready-made audit templates cover common review scenarios, and a first risk snapshot typically takes under five minutes to set up. Who Sees What is read-only by design: it never modifies the org, there is no managed package to install, and access can be revoked at any time. Pricing is per production org, billed monthly, not per seat, with a free trial. Who Sees What is part of the Digadop product family from Stony Point, Inc.

Frontitude is an AI-powered platform designed to streamline the management of UX content from design to production. It offers a unified workspace that integrates seamlessly with design tools like Figma, enabling teams to create, collaborate, and translate UX content efficiently. By centralizing content management, Frontitude ensures consistency across products and accelerates the localization process, allowing for the delivery of multilingual interfaces at scale. Key Features and Functionality: - Copy Library: Establish a single source of truth for UX content with reusable copy components, facilitating consistency and easy updates across the product. - Copy Components: Create a library of approved copy that can be reused throughout the product, ensuring uniformity and simplifying updates when changes are needed. - Design Tool Integration: Integrate with popular design tools to keep content and design aligned, enabling seamless collaboration between writers and designers. - Design View: Edit copy in a sandbox environment without affecting the original design, allowing for efficient content updates and approvals. - Multi-Language Support: Translate products into multiple languages and manage all translations in one place, streamlining the localization process. - Developer CLI: Automate the developer handoff process by integrating Frontitude’s Developer CLI into the development workflow, reducing manual tasks and errors. Primary Value and User Solutions: Frontitude addresses the challenges of managing UX content by providing a centralized platform that enhances collaboration between design, content, and development teams. It ensures content consistency across products, accelerates the localization process, and automates developer handoffs, ultimately reducing time-to-market and improving the overall user experience.

AgentDesk is an AI-powered customer support platform that resolves technical tickets autonomously: not with canned responses or draft suggestions, but with actual code changes. When a ticket arrives, an AI agent picks it up, clones the relevant repository into an isolated sandbox, investigates the codebase, identifies the root cause, writes a fix, runs your test suite, and opens a pull request. The ticket is updated with a structured summary of what was found, what was changed, and what to review. If the agent needs more context, it comments on the ticket and waits for a response. Every agent action is logged with a full audit trail. Configurable approval gates let teams require human sign-off before changes ship, or allow agents to work autonomously on low-risk issues. Three guardrail levels – strict, default, and lenient – control how much freedom agents have, with limits on files changed, lines of code, and blocked patterns. AgentDesk integrates with GitHub, JIRA, Azure DevOps, Vercel, and more, with bi-directional ticket sync, status mapping, and comment threading across platforms. The platform supports bring-your-own-key for Anthropic and OpenAI API access, so organisations control their LLM costs directly with no markup. Built for agencies, SaaS companies, and DevOps teams, AgentDesk supports multi-tenant white-label portals with custom branding, custom domains, and isolated data per client, so one team can manage support across multiple clients from a single dashboard.

Palmier is an AI-powered DevOps platform designed to automate the setup, management, and scaling of your infrastructure. By integrating seamlessly with your development workflow, Palmier's intelligent agents operate in secure sandbox environments, enabling faster and more efficient code deployment. This solution is tailored to enhance productivity by handling complex development tasks autonomously, allowing developers to focus on innovation and core functionalities. Key Features and Functionality: - Autonomous Development: Palmier's AI agents can fix bugs, implement features with full context awareness, and create well-structured pull requests with comprehensive descriptions. - Powerful Integrations: The platform connects with various services, including GitHub, Linear, and Supabase, extending agent capabilities to interact with your entire development ecosystem. - Workflow Automation: Palmier integrates directly with GitHub for seamless repository management, allowing agents to be triggered from GitHub issues, pull requests, and comments. - Smart Orchestration: Users can create if-then-agent workflows for complex development scenarios, automating code reviews, issue triage, and deployment processes. - Customizable Agents: Palmier offers a library of specialized prebuilt agents and allows users to create custom agents tailored to specific development needs. Primary Value and Problem Solved: Palmier addresses the challenge of managing an ever-growing backlog of development tasks by providing AI agents that work in parallel, each operating in isolated environments. This parallelism enables developers to delegate tasks such as bug fixes, feature implementations, and code reviews, thereby accelerating the development process and reducing context switching. By automating routine and complex tasks, Palmier empowers development teams to ship code faster and with greater confidence, ultimately enhancing overall productivity and efficiency.

Cognitora is a next-generation cloud platform specifically designed to meet the unique needs of AI agents. It offers autonomous provisioning of compute resources, GPUs, vector databases, and storage, enabling AI agents to perform complex tasks such as real-time code execution, data analysis, and autonomous collaboration within secure, isolated environments. Key Features and Functionality: - Virtual Computers for AI Agents: Provides complete cloud-based virtual machines with persistent file systems, support for multiple programming languages, and browser capabilities, equipping AI agents with essential tools. - Advanced SDKs: Offers professional-grade SDKs for Python and TypeScript, along with REST APIs, facilitating seamless integration with frameworks like LangChain, AutoGPT, and CrewAI. - Rapid Deployment: Utilizes Firecracker microVMs to achieve sub-second sandbox startup times, allowing for instant scaling from zero to thousands of concurrent agent sessions. - Secure Isolation: Ensures hardware-level isolation for each agent, operating within a zero-trust architecture to maintain security and integrity. - Agent Communication Protocols: Incorporates native Agent-to-Agent (A2A) and Model Context Protocol (MCP) to enable seamless multi-agent workflows and coordinated interactions. - Comprehensive Tooling: Provides full terminal access, web browsers, file systems, and package managers, equipping agents for complex, real-world tasks. Primary Value and User Solutions: Cognitora addresses the challenges of deploying and managing AI agents by offering a cloud infrastructure tailored exclusively for their requirements. By automating resource provisioning and ensuring secure, isolated execution environments, it allows developers to focus on building and scaling AI applications without the overhead of infrastructure management. This results in faster development cycles, enhanced security, and the ability to handle large-scale AI workloads efficiently.

Automat is an AI-driven automation platform designed to streamline business processes by enabling companies to automate tasks without the need for extensive teams or large budgets. By leveraging advanced AI techniques, Automat offers managed automations that understand context, recover from errors, and continuously improve, making it 10 times faster and one-tenth the cost of traditional automation software. Key Features and Functionality: - Process Automation (RPA): Automat's core tool allows for the automation of complex, multi-application workflows as well as simple tasks resulting from document extractions. Users can initiate process automation by scheduling a call with an expert integrator or by uploading a recording of their workflow to the Automat Sandbox. - Document Extraction: The platform offers intelligent document processing automation using AI, enabling efficient data extraction from various document types. - AI Copilot: A user-activated automation feature designed to complete repetitive tasks, enhancing productivity and reducing manual effort. - Dedicated Engineering Support: Automat provides dedicated engineering support to assist with the deployment and maintenance of automations, ensuring reliability and scalability. - Security and Compliance: The platform emphasizes security with features like on-premise deployment for enterprise-level security, hosted generative AI large language models for sensitive data, SOC II level compliance, and utilization of Google Cloud Platform's native security features. Primary Value and User Solutions: Automat addresses the challenges of traditional automation software by offering a faster, more cost-effective solution that doesn't require a massive team or budget. Its AI-powered managed automations are designed to understand context, recover from errors, and continuously improve, allowing businesses to automate their work efficiently. By providing tools like process automation, document extraction, and AI Copilot, Automat empowers companies to streamline operations, reduce manual tasks, and enhance overall productivity.

Higress is a cloud-native API gateway built upon Istio and Envoy, designed to facilitate seamless integration of AI capabilities into modern applications. It enables developers to write Wasm plugins in languages like Go, Rust, and JavaScript, offering a rich library of ready-to-use plugins and an intuitive console for efficient management. Key Features and Functionality: - AI Gateway Capabilities: Higress serves as an AI-native API gateway, supporting AI services such as Tongyi Qianwen APP and machine learning platforms. It provides functionalities like AI observability, multi-model load balancing, AI token flow control, and AI caching. - Extensibility: With a focus on Wasm plugin extensions, Higress ensures memory safety through sandbox isolation, supports multiple programming languages, and allows independent version upgrades of plugins, achieving lossless hot updates of gateway logic. - Security and Compliance: Higress offers WAF protection, supports various authentication and authorization strategies such as key-auth, hmac-auth, jwt-auth, basic-auth, and oidc, and integrates with Let's Encrypt for automatic issuance and renewal of free certificates. - Stream Processing: It supports complete stream processing of request/response bodies, with Wasm plugins easily customizing the handling of streaming protocol messages like SSE (Server-Sent Events), significantly reducing memory overhead in high-bandwidth scenarios. Primary Value and Problem Solving: Higress addresses the challenges of integrating AI capabilities into applications by providing a robust, extensible, and secure API gateway. It simplifies the development and deployment of AI services, ensures high availability and performance, and offers comprehensive security features. By supporting AI-native functionalities and streamlining plugin development, Higress empowers enterprises to accelerate their AI transformation and build intelligent applications efficiently.

Indentia.ai is a European AI platform designed for organizations that require their data to remain within their own infrastructure. It integrates various systems, consolidates organizational knowledge, and provides precise answers with source citations. The platform is built to operate entirely within an organization's environment, ensuring data sovereignty and compliance with regulations like GDPR. Indentia.ai is particularly suited for sectors such as defense, government, banking, insurance, healthcare, and research and development. Key Features and Functionality: - Unified Data Integration: Connects structured data (databases, ERP, CRM), unstructured data (documents, emails, chats, videos), and IoT data (sensors, telemetry) into a cohesive platform. - Cognitive Layer: Acts as an organization's "Second Brain," offering capabilities like data ingestion, ontology management, permission controls, AI agents, and auditing within a single framework. - Advanced Search and Analysis: Provides hybrid search combining keyword and semantic understanding, agent-ready multi-step reasoning with scoped permissions, and deep analysis for trends, anomalies, and cross-source insights. - Autonomous Agents: Deploys multi-step reasoning agents operating within secure environments, featuring sandbox isolation, PII filtering, scoped credentials, and network allow-lists to ensure autonomy without risk. - Human-in-the-Loop Oversight: Incorporates explicit human review gates at multiple stages, including scope confirmation, retrieval review, draft review, and final release, ensuring transparency and accountability. - Compliance and Governance: Aligns with EU AI Act, NIS2, ISO 27001, and ISO 42001 standards, offering policy-as-data management, full audit trails, pre-built assessments, continuous evidence collection, and data lineage tracking. Primary Value and Solutions: Indentia.ai addresses the critical need for organizations to harness AI capabilities while maintaining strict control over their data. By operating entirely within an organization's infrastructure, it eliminates concerns related to data exposure and compliance breaches. The platform enhances decision-making by providing accurate, source-cited answers, reduces time spent searching for information, and ensures that AI operations are transparent and auditable. This makes Indentia.ai an ideal solution for regulated industries requiring high levels of data security and compliance.

Regentis is the self-driving layer for your engineering organization. It doesn't just measure how your teams deliver software — it acts on what it finds. Regentis connects the tools your teams already work in: source control, task tracker, ITSM, CI/CD, Slack or Teams, and your documentation. It builds memory across all of them, and that shared context is what makes everything below possible. It measures. DORA metrics, Code Flow Health which is our flagship adaptive delivery metric across velocity, quality, collaboration and efficiency and DevEx surveys that are a single question, answered in one click from an email. Financial intelligence shows how engineering effort actually divides across Innovation, KTLO, Productivity and Improvement, with no time tracking. It automates. Scheduled and event-driven agents that review pull requests on open, enrich and triage tickets as they arrive, post each team's status to Slack before standup, and write recurring project or financial reports into your docs. It executes. Anyone in your organization, an engineer, PM, QA or support, can hand work to Regentis from a ticket, an ITSM request or a PR comment. Regentis works the task in a dedicated sandbox with the full build toolchain and returns a pull request with proof the change works: a screen recording, a screenshot, or a build log. Your team reviews and merges. Most engineering orgs buy three or four tools to get part of this. Regentis is built to be the one place leaders can see how delivery is going and the one place that does something about it.

Finigami is an AI-powered document processing solution designed to automate the extraction and analysis of information from various document types. Supporting over 50 languages, including handwritten documents, Finigami enables businesses to efficiently handle tasks such as KYC verification, financial document analysis, and insurance claim processing. Its custom AI model adapts to changes in document formats without requiring extensive retraining, ensuring consistent performance. Integration is streamlined through a single API endpoint, facilitating seamless data import and workflow automation. By automating document processing, Finigami enhances operational efficiency, reduces manual workload, and accelerates decision-making processes across various industries. Key Features and Functionality: - Document Information Extraction: Automatically extracts relevant data from diverse document types, minimizing manual data entry. - Multilingual Support: Processes documents in over 50 languages, accommodating global business needs. - Handwritten Document Processing: Accurately interprets and extracts data from handwritten documents. - Custom AI Model: Adapts to changes in document formats without extensive retraining, ensuring consistent performance. - Single API Endpoint Integration: Facilitates easy integration with existing systems for seamless data import and workflow automation. - Pre-trained Document Templates: Offers ready-to-use templates for quick processing. - Field-Level Validations: Ensures data accuracy through validation at the field level. - UI Sandbox: Provides a user-friendly interface for testing and validation. - Usage Reports: Generates reports to monitor and analyze usage patterns. Primary Value and Solutions Provided: Finigami addresses the challenges associated with manual document processing by automating data extraction and analysis. This automation leads to significant time savings, reduced errors, and enhanced operational efficiency. Businesses can leverage Finigami to streamline processes such as KYC verification, financial document analysis, and insurance claim processing. By integrating Finigami into their workflows, organizations can accelerate decision-making, improve compliance, and focus on core business activities, ultimately driving growth and customer satisfaction.

Scale2Rev builds AI-driven RevEngines for B2B revenue teams and the sales and marketing agencies that serve them. Each RevEngine is an AI agent that takes over a manual revenue task so teams stay on strategy. Three RevEngines are available: Engage, Craft, and Surface. Each works alone, and together they run a Revenue Growth Cycle in which buyer questions captured by Engage become content in Craft and AI-citation fixes in Surface. Engage is a brand-safe AI agent for your website that answers visitors 24/7 using only your published pages, qualifies them, captures name, email, and phone, and alerts your team. If your pages can't support an answer, it says so rather than guessing. Engage Analysis mines transcripts for content gaps, objections, and drop-off, and the Scale edition syncs qualified leads to HubSpot. Conversations are unlimited on a flat per-site fee. Craft measures your Google Search Console data, optionally with GA4 and Ahrefs, to decide which article to write or refresh next. It then drafts it with an exportable scorecard for your team to review and publish. Higher editions add refreshes of ranking pages, topic pillars, refine-and-rescore, and a ranked create/refresh/wait strategy with pre-filled briefs. Surface scores any public URL from 0 to 100 for how likely AI answer engines are to cite it, ranks the gaps, and returns copy and structure fixes for your team to implement. It never changes your live site. Higher editions add full-site AI readiness audits, in-app copy rewrites, before/after AEO optimization, and generated files such as llms.txt. Scale2Rev is built for SMB B2B companies and for agencies. An agency runs one account with a site per client, and clients never need logins. Every RevEngine is a flat monthly fee per website with unlimited seats, available in Start, Grow, and Scale editions, with a free 7-day sandbox trial and no credit card required.

Lunar.dev is an open-source platform designed to manage, govern, and optimize third-party API consumption across applications and AI agent workloads at scale. It serves as a unified API Gateway, providing real-time visibility, policy enforcement, and security controls over all agentic traffic, including Large Language Models (LLMs), Model Control Protocol (MCP) tools, and APIs. By integrating Lunar.dev, organizations can ensure safe and compliant AI adoption without hindering innovation. Key Features and Functionality: - Live API Traffic Visibility: Monitor every model, tool, and agent interaction in real-time, tracking metrics such as latency, errors, costs, and token usage. - AI-Aware Policy Enforcement: Implement fine-grained rules to control agent access, enforce rate limits, manage costs, and apply budgets, ensuring compliance and security across the AI stack. - Advanced Traffic Shaping: Optimize performance and cost by dynamically routing requests across LLM providers, applying rate limits, retries, priority queues, and circuit breakers to manage load and ensure reliability. - MCP Registry and Customization: Build an approved catalog of tools and connectors for enterprise use, assign scoped environments for agents, and configure tools according to company policies and compliance standards. - AI Agent Sandbox: Test agent and MCP behavior in a secure environment before production, conduct lineage analysis to understand relationships between agents, LLMs, MCP tools, and APIs, and evaluate risks to detect security exposures and performance regressions prior to deployment. Primary Value and Problem Solved: Lunar.dev addresses the critical need for enterprises to safely adopt AI at scale by providing a centralized control point for all agentic traffic. It ensures that AI agents, models, and tools operate within defined policies and compliance boundaries, offering real-time monitoring, policy enforcement, and security measures. This governance framework protects sensitive data, prevents unauthorized access, and maintains operational resilience, enabling organizations to innovate with AI technologies confidently and securely.

Card Vault is an independent credit card vault and tokenization platform for businesses that need to keep customer cards on file. It captures, encrypts and stores payment cards for you, and gives your team and your systems a token to use instead. Card numbers never reach your inbox, spreadsheets, files or servers. It's built for real card-on-file work: deposits, dues, retainers, monthly billing and charges your staff key in. Instead of taking card numbers by phone or email, your team sends a secure card request by email or SMS. The customer enters their card on a page hosted by Card Vault, and the card goes straight into the vault. Staff only ever see the last four digits and the expiry date, and they can charge the card from the console when payment is due. No developer is needed. Card Vault doesn't depend on any one processor. Tokens belong to the vault, not to a payment gateway, so you can connect one processor or several, add another later or switch completely. Stored cards keep working, and you never have to ask customers for their cards again. For teams that build their own integrations, Card Vault offers: - a hosted payment form - an embeddable iframe - per-field JavaScript card capture - a standalone CVV re-verification field for saved cards - a REST API with webhooks - a Windows SDK for .NET desktop and line-of-business apps Network tokenization supports recurring billing, and a sandbox lets you test before going live. Because card data goes straight to the vault, your own PCI scope shrinks. Integrations that keep card data completely out of your environment can qualify for SAQ A when the eligibility criteria are met. Card Vault is assessed against PCI DSS v4.0.1 as a service provider (SAQ D), and customers can request the Attestation of Compliance. Each tenant's data is kept separate from every other tenant's. You can start free: the Starter Vault stores up to 5 cards, with no sales call and no contract. Paid plans scale from small offices up to enterprise.

Rhino Federated Computing Platform (Rhino FCP) is a secure and scalable software solution designed to facilitate federated learning and collaborative data processing without the need for centralized data storage or transfer. By enabling decentralized execution with centralized control, Rhino FCP allows organizations to connect disparate data sources, process custom workloads, and scale operations while maintaining strict data privacy and security standards. Key Features and Functionality: - Decentralized Data Processing: Data remains securely behind the data custodian's firewall, eliminating the need for data transfers and ensuring compliance with privacy regulations. - AI-Enabled Data Harmonization: The AutoMapper tool leverages Generative AI to streamline data harmonization, allowing data engineers and subject matter experts to standardize data models efficiently. - Federated Learning and Inference: Supports federated statistics, learning, and inference, enabling cross-silo analytics and collaborative AI model training without compromising data sovereignty. - Granular Access Control: Implements role-based access control (RBAC) to govern data and workload access, ensuring privacy and security. - Privacy-Enhancing Techniques: Utilizes differential privacy, k-anonymization, and homomorphic encryption to protect sensitive information during processing. - Flexible Code Deployment: Allows deployment of custom code in secure containers at the data source, providing a privacy-enforcing sandbox to prevent data leakage. - Comprehensive AI Lifecycle Management: Facilitates the management of the full AI model lifecycle, including pre-processing, training, validation, and fine-tuning, with integration capabilities for third-party tools. Primary Value and Problem Solved: Rhino FCP addresses the critical challenge of enabling collaborative data analysis and AI model development across organizations without compromising data privacy or requiring data centralization. By allowing data to remain within its original environment and bringing computation to the data, Rhino FCP empowers organizations to unlock the value of their siloed data assets. This approach is particularly beneficial in regulated industries such as healthcare, life sciences, and financial services, where data privacy and compliance are paramount. By facilitating secure, efficient, and scalable collaboration, Rhino FCP accelerates innovation and enhances the development of AI-driven solutions.