AI21 Labs
AI/LLM · Multi-Cloud · Native (own / self-hosted weights)
Trains Jamba, its own hybrid Mamba-Transformer long-context models.
Cloud · Multi-Cloud
44 companies in the Modeling Warehouse run on Multi-Cloud, and how directly they consume their foundational models. Avg Foundation Proximity Score 72/100.
AI/LLM · Multi-Cloud · Native (own / self-hosted weights)
Trains Jamba, its own hybrid Mamba-Transformer long-context models.
AI/LLM · Multi-Cloud · Native (own / self-hosted weights)
Trains the Claude family across Google Cloud TPUs and AWS Trainium (both partners/investors). Pioneered the open Model Context Protocol (MCP) for tool/data connectivity around its models.
AI-infra · Multi-Cloud · Native (own / self-hosted weights)
Model-inference platform serving open models (Llama, etc.) on autoscaling GPU infra.
AI/LLM · Multi-Cloud · Native (own / self-hosted weights)
Enterprise-focused LLM lab training its own Command/Embed/Rerank models, served across clouds (Google Cloud, Oracle, AWS) and deployable in-VPC for data-sensitive customers. North platform targets RAG.
AI/LLM · Multi-Cloud · Native (own / self-hosted weights)
RAG-native enterprise platform training its own grounded language models.
Data Platform · Multi-Cloud · Native (own / self-hosted weights)
Lakehouse deployed into the customer's own cloud (AWS/Azure/GCP), built on open Spark + Delta Lake. Ships its own open model DBRX and the Mosaic AI training/serving stack.
Search/Data · Multi-Cloud · Native (own / self-hosted weights)
Ships ELSER, its own retrieval model, and plugs partner LLMs for RAG.
AI/Voice · Multi-Cloud · Native (own / self-hosted weights)
ElevenLabs exposes proprietary speech, audio, and agent models via HTTPS REST, SSE streaming, and WebSocket APIs behind api.elevenlabs.io, backed by credit-based authentication and multi-tenant SaaS infrastructure designed for high concurrency and enterprise scalability.[1][7][9] Core value is provided by in-house deep learning voice and audio models rather than a foundational LLM as the primary engine.[2][5]
AI Infra · Multi-Cloud · Native (own / self-hosted weights)
Fast inference for open models on its own serving stack.
Healthcare · Multi-Cloud · Native (own / self-hosted weights)
Trains Polaris, its own safety-focused healthcare LLM constellation for patient-facing agents.
Biotech · Multi-Cloud · Native (own / self-hosted weights)
Generative-chemistry drug discovery on its own target-discovery + molecule-generation models.
AI Infra · Multi-Cloud · Native (own / self-hosted weights)
Builds PyTorch Lightning + a studio to train/serve open models (Llama, etc.) on cloud GPUs.
AI/LLM · Multi-Cloud · Native (own / self-hosted weights)
MIT-spinout training its own non-transformer Liquid Foundation Models for efficient/edge inference.
AI-coding · Multi-Cloud · Native (own / self-hosted weights)
Builds its own ultra-long-context (LTM) code models for autonomous software engineering.
Automotive · Multi-Cloud · Native (own / self-hosted weights)
In-car MBUX assistant on Google Cloud Gemini; large in-house ADAS/vehicle ML.
AI/LLM · Multi-Cloud · Native (own / self-hosted weights)
European lab releasing strong open-weight models (Mistral/Mixtral) alongside commercial ones; serves via its own La Plateforme and partner clouds (Azure, GCP). Le Chat is the consumer surface. Data-sovereignty positioning.
Healthcare AI · Multi-Cloud · Native (own / self-hosted weights)
Medical-evidence answer engine on its own models trained over peer-reviewed literature.
Robotics · Multi-Cloud · Native (own / self-hosted weights)
Trains π0, its own general robot-control foundation model across embodiments.
AI-coding · Multi-Cloud · Native (own / self-hosted weights)
Trains its own code-generation foundation models from scratch for enterprise/regulated deployment.
AI/LLM · Multi-Cloud · Native (own / self-hosted weights)
Multimodal frontier lab (ex-DeepMind/Meta) training its own Reka model family.
Data Platform · Multi-Cloud · Native (own / self-hosted weights)
Cloud data warehouse that runs as a tenant across AWS, Azure and GCP, separating compute from storage on object stores; metadata in FoundationDB. Cortex serves hosted LLMs next to the data.
Automotive (EU) · Multi-Cloud · Native (own / self-hosted weights)
Automaker (Jeep/Peugeot/Fiat) embedding Mistral in-vehicle plus its own ADAS ML.
Healthcare AI · Multi-Cloud · Native (own / self-hosted weights)
Ambient clinical assistant blending its own medical models with partner LLMs.
AI-coding · Multi-Cloud · Native (own / self-hosted weights)
Privacy-first code assistant with its own models plus optional partner LLMs, deployable air-gapped.
Analytics · Multi-Cloud · Native (own / self-hosted weights)
Search/AI analytics; Spotter agent blends its own engine with OpenAI over the in-memory data store.
AI Infra · Multi-Cloud · Native (own / self-hosted weights)
Serves open models (Llama, Mistral, etc.) on its own GPU cloud — the infrastructure to run Native.
Gaming/3D · Multi-Cloud · Native (own / self-hosted weights)
Real-time 3D engine; Muse AI blends partner LLMs with its own generative tooling for creators.
Observability · Multi-Cloud · Direct API
Grafana Cloud runs a SaaS observability platform built on its open source engines (Mimir, Loki, Tempo, Prometheus) deployed across major public clouds with object storage backends like S3/GCS/Azure Blob for long‑term data. The core Grafana server is a Go backend with a React/TypeScript frontend that acts as a visualization and control plane over these distributed storage and query services.
Observability · Multi-Cloud · Cloud-hosted (Bedrock/Vertex/Azure)
Runs primarily on AWS with significant GCP presence; ingests trillions of points/day through Kafka into Cassandra and custom time-series stores. Bits AI / Watchdog use in-house anomaly ML plus LLMs.
Data · Multi-Cloud · Middleware / wrapper
Open-source data integration; connectors + AI assist via partner LLMs.
Database · Multi-Cloud · Middleware / wrapper
Open-source columnar OLAP DB; AI features plug partner LLMs over its analytics engine.
Data Platform · Multi-Cloud · Middleware / wrapper
Managed Apache Kafka (Confluent Cloud) deployed across AWS/Azure/GCP with the Kora cloud-native engine; adds stream processing via Flink. Built around open Kafka with proprietary cloud tooling.
Data · Multi-Cloud · Middleware / wrapper
Analytics-engineering standard (dbt); Copilot AI is model-agnostic over the semantic layer.
Data · Multi-Cloud · Middleware / wrapper
Managed data movement; AI features via partner LLMs over pipeline metadata.
Database · Multi-Cloud · Middleware / wrapper
Atlas runs the MongoDB document database as a managed service across AWS, Azure and GCP. Atlas Vector Search makes it a RAG datastore; AI features integrate partner LLMs rather than a captive model.
AI Infrastructure · Multi-Cloud · Middleware / wrapper
Managed vector database for RAG, deployed across AWS/GCP/Azure with a serverless architecture that separates storage (object store) from query compute. The index, not a model, is the product.
AI Infra · Multi-Cloud · Middleware / wrapper
Open-source vector database for RAG; model-agnostic.
Consumer AI · Multi-Cloud · Middleware / wrapper
AI hardware (r1); routes to multiple partner LLMs behind a large-action-model orchestration layer.
AI Infra · Multi-Cloud · Middleware / wrapper
Open-source vector database; the index, not a model, is the product.
MLOps · Multi-Cloud · Middleware / wrapper
ML experiment-tracking + LLMOps (Weave); model-agnostic, runs over customers chosen models.
Cybersecurity · Multi-Cloud · Middleware / wrapper
Agentless cloud security that scans customers' AWS/Azure/GCP via APIs and builds a Security Graph of risks. Now part of Google Cloud; AI adds LLM-driven risk explanation over the graph.
AI Search · Multi-Cloud · Middleware / wrapper
AI search/agent routing across multiple frontier + open models over its own web index.
DevSecOps · Multi-Cloud · Off the LLM map (in-house non-LLM ML)
Secure-by-default container images + supply-chain security; off the foundational-LLM map at the core.
Dev-infra · Multi-Cloud · Off the LLM map (in-house non-LLM ML)
Durable-execution platform; model-agnostic orchestration, off the foundational-LLM map at the core.
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