Kodosumi
Kodosumi is an open source, framework-agnostic runtime environment built on Ray for deploying, managing, and scaling agentic services at the enterprise level. It enables effortless deployment of AI agents with a single YAML config, offering minimal setup overhead and no vendor lock-in. Designed for handling bursty traffic and long-running workflows, it dynamically scales across Ray clusters to ensure consistent performance. Kodosumi integrates real-time logging and monitoring through the Ray dashboard, providing instant observability and streamlined debugging of complex flows. Core building blocks include autonomous agents (task performers), orchestrated flows, and deployable agentic services, all managed via a pragmatic web admin panel.
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Peta
Peta is an enterprise-grade control plane for the Model Context Protocol (MCP) that centralizes, secures, governs, and monitors how AI clients and agents access external tools, data, and APIs. It combines a zero-trust MCP gateway, secure vault, managed runtime, policy engine, human-in-the-loop approvals, and full audit logging into a single platform so organizations can enforce fine-grained access control, hide raw credentials, and track every tool call made by AI systems. Peta Core acts as a secure vault and gateway that encrypts credentials, issues short-lived service tokens, validates identity and policies on each request, orchestrates MCP server lifecycle with lazy loading and auto-recovery, and injects credentials at runtime without exposing them to agents. The Peta Console lets teams define who or which agents can access specific MCP tools in specific environments, set approval requirements, manage tokens, and analyze usage and costs.
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Visdiff
Visdiff is an AI-powered design-to-code validation and correction platform that works alongside AI coding agents to ensure that user interfaces match their original design specifications with pixel-level accuracy. It eliminates the need for manual visual comparison by allowing users to paste a Figma design link, which it then uses as the ground truth for generating and validating frontend code. Visdiff operates through a closed-loop process where AI agents first generate the UI code, then render it, take screenshots, and compare the result pixel-by-pixel against the original design to identify discrepancies. It automatically iterates on the code, fixing visual mismatches until the output aligns precisely with the intended design, effectively bridging the gap between design and implementation. It is framework-agnostic and integrates with existing development workflows, allowing users to export ready-to-use code or connect directly to their codebase.
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Blackbird API Development
Accelerate Development of Prod-Ready APIs.
AI-Powered Code Gen, Mocking in Minutes, and On-Demand Ephemeral Test Environments.
* Design Efficiently: Generate standardized OpenAPI specs with AI assistance, allowing you to begin coding faster.
* Mock Effortlessly: Create shareable API mocks without manual coding, enabling rapid validation.
* Automate Repetitive Tasks: Utilize AI to automatically generate boilerplate code for both client and server-side APIs.
* Test Effectively: Access publicly available URLs for testing in a production-like test environment through Blackbird's ephemeral testing environments.
* Debug Seamlessly: Set breakpoints and debug directly from your preferred IDE with Blackbird's integrated debugging tools.
* Deploy Smoothly: Utilize a 24/7 hosted environment for progressive and repeated testing without reconfiguration, facilitated by Blackbird's containerized deployment.
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