AI:Tools/Platforms

No-code AI agent builder for sales, marketing, support and ops teams to build and run a multi-agent AI workforce

Free, Python-free LLM inference server that runs open models on NVIDIA, AMD, Google TPU, Intel and Apple chips from one binary

AI-native customer experience platform: omnichannel AI agents, real-time agent assist and automated QA on one knowledge layer

GPU cloud and AI factories for training and inference — on-demand NVIDIA instances to single-tenant superclusters

Ambient AI clinical documentation and point-of-care coding platform for health systems

Voice AI API platform for real-time speech-to-text, text-to-speech and voice agents

Ambient AI clinical documentation and care intelligence for health systems, deeply integrated with Epic

Enterprise voice AI agents for customer service, built on a proprietary dialog model

Enterprise RAG and Agent Composer platform for grounded AI agents on technical documentation

Agentic analytics platform: AI notebooks for data teams and conversational Threads for everyone, grounded in governed semantic context

Managed Ray platform for scaling AI data processing, training, inference and RL across thousands of GPUs on any cloud

Privately deployable enterprise AI workspace for agents, search and workflow automation — run it in your VPC, on-prem or air-gapped

Open-source TypeScript framework and platform for building, deploying and observing production AI agents and workflows

Runtime security for AI agents: observe, enforce and audit agent tool calls, with prompt-injection, PII and abuse controls in code

Agentic SOC and MDR platform whose Exabot AI agents detect, triage, investigate and respond, now with an AI-agent kill switch

ETL for unstructured data: turn PDFs, tables, emails and scans into AI-ready JSON for RAG and agents

Low-latency voice AI on state space models: Sonic text-to-speech, Ink speech-to-text and managed voice agents

Open-source (Apache 2.0) vector and hybrid search database for AI, with a serverless Chroma Cloud on object storage

Independent AI benchmarking on private test sets, plus custom evals built from your own code, for legal, finance, healthcare and coding workloads

MIT-licensed, 1M-context multimodal MoE models that took the top open-weights score on Artificial Analysis at well under $1 per million tokens

A 'System One' decision model that returns typed choices, scores and calibrated probabilities instead of text, for agent routing and classification

Open-weight 1-bit and ternary LLMs that run 27B-class AI on laptops and phones

Governed data, context and AI agents in one intelligence operating system for the enterprise

AI agent monitoring that catches silent production failures: Sentry for AI agents