Last updated 06-30-2026
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Depth AI
Depth AI is a codebase intelligence platform for engineering teams who want to ask real questions about how their software works, not just search files by keyword.
The product goes beyond simple retrieval over source files. Depth AI builds a knowledge graph of your repository that maps components and relationships, which helps it handle deeper prompts like whether a change is breaking, how authentication or SSO is wired, what dataflow pipelines exist, or which external integrations are in play.
You can chat with the full repo or create scoped assistants tied to specific folders, such as i18n consistency, SDK schemas, ML pipelines, integration testing, frontend components, or compliance-focused code. Those assistants run in Depth AI's web app and can be deployed into Slack, GitHub Copilot, and other workflows through an API-first model.
Depth AI emphasizes enterprise controls: permission-aware answers, audit logs, AES-256 encryption at rest, TLS 1.2+ in transit, optional self-hosted VPC deployment, and a policy of not training on customer code. The team behind it includes engineers from Glean, Indeed, and Sprinklr, and the company is based in Bangalore, India.
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.