“deployment”

Open-source infrastructure that runs AI-generated code in isolated cloud sandboxes.

Open-source sandbox platform that runs AI agent workloads in isolated environments on your own infrastructure.

Open-source platform for serving LLM, embedding and multimodal models on your own premises or in the cloud.

Open-source browser API for AI agents, with sessions, proxies and cloud browsers that you can also run yourself.

Open-source platform for search, ranking and ML inference over vectors, tensors, text and structured data.

AI-native proxy and data plane for agent apps: agent orchestration, LLM routing, guardrails and traces.

Apache-2.0 agentic workflow platform combining orchestration, model management, MCP tools and RPA for enterprise agents.

Open source registry and proxy that federates MCP, A2A and REST/gRPC APIs under central governance.

One real-time API for voice agents combining speech-to-text, LLM orchestration and text-to-speech, priced at $4.50/hr.

Europe-hosted platform for rolling out model-agnostic chat, custom agents, workflows and an API across an organization

Visual no-code builder and TypeScript SDK for multi-agent AI assistants, with two-way sync and self-hosting under a fair-code license.

Open-source holistic solution for AI and ML validation: testing, CI and monitoring

Open-source, Apache-2.0 visual tool for building AI agents, apps and workflows with plugins, knowledge bases and an API and chat SDK

Apache Cassandra-based NoSQL database with vector search for generative AI workloads.

Java and React platform for building and running AI apps with a visual flow editor, reusable Store items and a plugin system.

Agentic document platform for parsing, extracting, splitting, classifying and editing documents.

Isolated Linux devboxes for running AI agents and their code, with snapshots and reusable blueprints.

Context layer for building AI agents that reason over technical documents and institutional knowledge.

Enterprise AI gateway for 1000+ LLMs with governance, observability, guardrails and an MCP gateway.

Search database for vector and full-text queries, built on object storage and available as a Python client.

Guardrails, red teaming and risk management platform for securing AI applications and agents.

Vector and hybrid search built into MongoDB, running on the same operational data as the database.

Speech-to-text, text-to-speech and managed voice agents in one API for live conversation.

Collaboration layer for AI engineering teams: prompt management, agent observability and evals