30 companies in the Modeling Warehouse run on GCP, and how directly they consume their foundational models. Avg Foundation Proximity Score 80/100.
Consumer AI · GCP · Native (own / self-hosted weights)
Character.AI runs a proprietary end‑to‑end stack on Google Cloud, training and serving its own Kaiju/C‑series LLMs on GPU and TPU infrastructure (including H100 clusters) with heavy inference optimization, backed by managed databases (AlloyDB, Spanner), Redis, and BigQuery on GCP.[1][2][3][4][7][10][11][15] The production platform uses dense transformer models (Kaiju Small/Medium/Large) trained and hosted on GCP, with int8-optimized inference and custom serving infrastructure for low‑latency conversational workloads.[3][7][11]
CX AI · GCP · Native (own / self-hosted weights)
Contact-center AI with its own real-time coaching models plus partner LLMs over call data.
Autonomous · GCP · Native (own / self-hosted weights)
GM self-driving running its own perception/planning ML; restructured toward personal-vehicle autonomy.
E-Commerce (India) · GCP · Native (own / self-hosted weights)
Indian commerce giant (Walmart-owned); own recommendation ML plus Gemini-based shopping assistants.
Biotech · GCP · Native (own / self-hosted weights)
Public materials indicate Isomorphic Labs runs its production AI/drug-design engine on Google Cloud, using Google Cloud AI Hypercomputer with TPU/GPU fleets orchestrated by Google Kubernetes Engine for autoscaling inference workloads. The company publicly emphasizes its own drug-design engine and AlphaFold-derived models rather than exposing a foundational LLM-centric stack.
Retail · GCP · Native (own / self-hosted weights)
Home-improvement retailer on Google Cloud; Gemini-based associate/customer assistants + own ML.
AI-coding · GCP · Native (own / self-hosted weights)
Magic’s public evidence points to a proprietary, long-context model stack centered on its own LTM models rather than a packaged third-party LLM. The clearest infrastructure signal is a Google Cloud partnership for AI supercomputers, but the public record does not expose a full production data stack or compliance posture.
Biotech · GCP · Native (own / self-hosted weights)
Drug discovery on its own phenomics foundation models trained over petabytes of cellular imaging.
AI Infra · GCP · Native (own / self-hosted weights)
Runs open models as one-click APIs on its own GPU fleet.
Cybersecurity · GCP · Native (own / self-hosted weights)
Developer-security platform on GCP/AWS scanning code and dependencies; DeepCode AI combines symbolic analysis with ML for fix suggestions. Backed by a curated open-source vulnerability database.
Retail · GCP · Native (own / self-hosted weights)
Retailer on Google Cloud; store-companion + guest AI on Gemini over its own merchandising ML.
Healthcare · GCP · Native (own / self-hosted weights)
Precision-medicine platform with its own multimodal genomic/clinical models plus LLMs for clinician copilots.
E-Commerce · GCP · Native (own / self-hosted weights)
Home-goods retailer on Google Cloud; in-house recommendation/visual ML plus Gemini (Vertex) for shopping assistants.
Autonomous · GCP · Native (own / self-hosted weights)
Waymo’s production driver uses a modular six-layer stack (sensor processing, perception, world modeling, prediction, planning, control) integrated with HD maps, simulation, and a foundation-model-based end-to-end driving architecture that fuses camera, lidar, and radar into a unified world representation.[1][2][8][9][10] Training, evaluation, and large-scale data handling run on Google/Alphabet’s internal and Google Cloud infrastructure, with closed-source models and tooling.[1][4][5][8][10]
Communications · GCP · Direct API
Runs on Google Cloud; publicly migrated trillions of messages from Cassandra to ScyllaDB and uses Elixir + Rust for real-time gateway/voice. AI features (Clyde and successors) built on OpenAI.
Enterprise Search · GCP · Direct API
Enterprise assistant that lets customers pick across OpenAI, Anthropic and Google over a permissions-aware index.
Marketplace · GCP · Direct API
Own catalog/logistics ML; an early, prominent OpenAI customer for search + Ask Instacart.
EdTech · GCP · Direct API
Khanmigo tutor built on OpenAI GPT-4 over its learning content, with heavy safety scaffolding.
Creator · GCP · Direct API
Creator-membership platform; AI features on OpenAI.
DevTools · GCP · Direct API
Cloud IDE whose Agent is built primarily on Anthropic Claude.
FinTech · GCP · Direct API
In-house risk ML plus OpenAI for support/assistant features.
DevTools · GCP · Direct API
Error-monitoring; Autofix/Seer uses OpenAI + Anthropic over stack traces.
E-Commerce · GCP · Direct API
Shopify runs a modular monolith (primarily Ruby on Rails) deployed as multi-tenant pods, each with its own MySQL, Redis, and memcached, on Kubernetes clusters running on Google Kubernetes Engine, with Kafka-centric data pipelines for CDC, analytics, and event distribution.[1][10][11][14] Traffic is handled via a global edge (Anycast + nginx/OpenResty) feeding stateless app workers into these pods, enabling regional failover, blast-radius isolation, and large flash-sale scaling.[2][3][11][16]
Social · GCP · Direct API
My AI assistant runs on OpenAI + Google; heavy in-house vision ML elsewhere.
Streaming Media · GCP · Direct API
Spotify runs a large-scale microservices architecture on Google Cloud Platform, with thousands of backend services and streaming/batch data pipelines built around Pub/Sub, Dataflow/Beam, and BigQuery for recommendation and analytics workloads.[5][9][10] Audio is stored in cloud object storage and delivered via multiple CDNs, while Cassandra and other stores serve user metadata, playlists, and real-time features.[3][5][7]
Climate · GCP · Direct API
Carbon-accounting platform; AI features on OpenAI over emissions data.
Retail · GCP · Cloud-hosted (Bedrock/Vertex/Azure)
Retailer using Google Cloud Gemini for support + shopping assistants over its catalog.
QSR · GCP · Cloud-hosted (Bedrock/Vertex/Azure)
FreshAI drive-thru ordering built on Google Cloud Gemini over menu/voice data.
DevTools · GCP · Off the LLM map (in-house non-LLM ML)
GitLab.com is primarily hosted on Google Cloud Platform in the us-east1 region, with most application services running on multiple Kubernetes clusters and core datastores (PostgreSQL, Gitaly, Redis, Elasticsearch) running outside Kubernetes. Secret management uses Google KMS for GCP services and Chef Encrypted Data Bags for other host secrets.
DevTools · GCP · Off the LLM map (in-house non-LLM ML)
Linear’s CTO has described the production stack as running on Google Cloud with Kubernetes, using React and Node/TypeScript, with Postgres for primary storage, Redis for queuing, and MongoDB for caching scenarios. The only clearly documented AI-related capability in the provided sources is product-level “AI workflows”; no source here establishes a specific foundational LLM provider in the core production architecture, so model_links is empty.