What tech stack does Galileo AI use?
Galileo AI's stack is detected from public product, docs, jobs, GitHub, marketplace, and press signals; it is directional rather than a full internal architecture diagram.
- Frontend
- React-style SaaS UI
- Backend
- Python and API SDKs
- Cloud
- Cloud SaaS
- Data
- Evaluation datasets and traces
- Critical path
- LLM app critical path
- GTM
- Enterprise sales and support
Galileo AI's detected technology stack
Public signals point to the technologies and architectural layers below; unverified internal tools are intentionally omitted.
- Python SDK· Developer tooling
- REST APIs· Developer tooling
- OpenTelemetry-style traces· Observability
- LLM evaluation metrics· AI
- RAG evaluation· AI
- Enterprise SaaS· Infrastructure
What does Galileo AI use on the backend and infrastructure?
Galileo AI's public technical signals center on LLM evaluation metrics, RAG evaluation, Enterprise SaaS. These are inferred from product pages, documentation, GitHub, marketplace listings, and public descriptions rather than a private architecture export.
What does Galileo AI use on the frontend, data, or GTM tooling?
The visible stack includes customer-facing web apps, APIs, integrations, and operational data flows that support ai evaluation and observability. GTM tooling is not usually disclosed, so this profile only names public marketplace, integration, API, or workflow signals.
What Galileo AI's stack means if you sell to them
Vendors should sell against the integration surface. Strong pitches map to the systems Galileo AI already exposes publicly: APIs, cloud deployment, security controls, model or data pipelines, developer workflows, and enterprise compliance evidence.
Avoid generic tooling pitches unless they reduce production risk, improve customer deployment speed, or help the company scale the workflow described by its own product pages.
As of June 2026.Sources:GalileoGalileo Series BPR Newswire Series BGalileo state of AI evaluation
Galileo AI — frequently asked questions
