Last updated 09-01-2026
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Depth AI
Depth AI lets engineering teams chat with a repository, ask how SSO or authentication is wired, and spin up scoped assistants for areas like i18n, SDK schemas, or ML pipelines. You deploy those assistants in Slack, GitHub Copilot, Jira, or your own tools through an API-first developer workflow.
Plain file search over a repo cannot tell you whether a change is breaking or map how components connect. Depth AI builds a code graph of your repository, models relationships between components, and uses that structure to handle architecture-level questions and semantic pattern queries that keyword retrieval misses.
It fits software and platform teams that need permission-aware answers without sending code to a model trainer. Depth AI enforces existing repo access rules, offers audit logs, AES-256 encryption at rest, TLS 1.2+ in transit, and optional self-hosted VPC deployment when code must stay in your cloud.
Depth AI was built by engineers from Glean, Indeed, and Sprinklr. The company is based in Bangalore, India, and markets a free trial path through app.trydepth.ai alongside enterprise demo bookings.
Builds a code graph of your repository so answers reflect component relationships, not just keyword matches
Handles architecture-level questions like how auth works, what pipelines exist, or whether a change might be breaking
Create scoped assistants for i18n, SDK docs, ML pipelines, testing, UI components, or compliance code
Deploy assistants in Slack, GitHub Copilot, or your own tools through an API-first integration model
Respects existing repo permissions so responses only include code you already have access to
Offers self-hosted VPC deployment, audit logs, and encryption for teams that need code to stay in their cloud
Uses a code knowledge graph rather than plain file retrieval for deeper technical answers
Supports scoped assistants for areas like SDK docs, ML pipelines, testing, and compliance
Strong enterprise posture with VPC hosting, audit logs, and a no-training-on-customer-data policy
No public pricing page with published plan tiers
Documentation lives on a separate docs subdomain rather than the main marketing site
Integration details on the marketing site focus mainly on Slack and GitHub Copilot
How is Depth AI different from basic RAG over a codebase?
Depth AI constructs a knowledge graph of your repository that models components and relationships, which helps it answer deeper technical and architecture questions instead of only surfacing similar text snippets.
Where can I use Depth AI assistants?
Depth AI supports its web app plus deployments into Slack and GitHub Copilot. The homepage also mentions Jira, and the product is API-first for custom integrations.
Is Depth AI free to try?
The site offers a Try now for free path through app.trydepth.ai. Depth AI does not publish a dedicated pricing page with plan tiers.
Does Depth AI train on my code?
No. Depth AI states it never uses customer data to train models, and teams can bring their own keys under agreements with model providers.
Can Depth AI be self-hosted?
Yes. Depth AI offers self-hosted deployment on your private VPC so code and usage data can stay inside your cloud environment.
What security controls does Depth AI provide?
Depth AI lists AES-256 encryption at rest, TLS 1.2+ in transit, strict permission enforcement, audit logs, and optional self-hosted deployment.
How do I get started with Depth AI?
You can sign up through app.trydepth.ai or book a demo from the marketing site. Documentation is available at docs.trydepth.ai.