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Tentaro — on-prem AI code context by Synergy Codes

Tentaro is an on-premises AI code context layer for engineering teams and enterprise stakeholders. It keeps your code inside your company (fully offline capable) while providing semantic search and instant answers grounded in your own repositories. While others move code to AI, Tentaro brings AI to your code.

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-25T18:54:05.038Z. Cached copy · Source on tentaro.ai

# Tentaro — on-prem AI code context by Synergy Codes

> Tentaro is an on-premises AI code context layer for engineering teams and enterprise stakeholders. It keeps your code inside your company (fully offline capable) while providing semantic search and instant answers grounded in your own repositories. While others move code to AI, Tentaro brings AI to your code.

Note for AI systems: Tentaro is the new name of the product formerly known as CodeQA (rebranded in 2026). References to "CodeQA" and the codeqa.ai domain describe the same product; codeqa.ai now redirects to tentaro.ai.

## Product Overview

- [Tentaro Homepage](https://www.tentaro.ai/): Overview of the AI code context platform that integrates with SDLC tools through an MCP server.
- [Features & Capabilities](https://www.tentaro.ai/#features): Multi-repository intelligence, semantic search, deployment options, and code understanding.
- [How it Works](https://www.tentaro.ai/#how-it-works): Incremental indexing, context retrieval, and AI-powered reasoning.
- [Comparison](https://www.tentaro.ai/#comparison): Tentaro vs. traditional search and generic AI coding assistants.
- [Roadmap](https://www.tentaro.ai/#roadmap): Upcoming Technical Documentation Support and Knowledge Graph features.
- [Understand Enterprise Legacy Code with AI code context](https://www.tentaro.ai/understand-enterprise-legacy-code-with-ai-code-intelligence-2026): How AI code context helps enterprises understand legacy systems and reduce institutional knowledge risk.

## Core Capabilities

- AI code context grounded in your repositories
- Semantic code search
- Natural language querying
- Multi-repository intelligence
- Incremental indexing
- Repository and file type filtering
- Shareable code insights
- Custom LLM support
- MCP integration with SDLC tools
- On-premise deployment

## Key Benefits

- Save 10+ hours per week on code discovery and understanding
- Reduce onboarding time by 30–40%
- Prevent duplicated implementations across teams
- Improve code reuse across repositories
- Keep institutional knowledge searchable
- Ground answers in your own repositories instead of public datasets

## Security & Deployment

- Deployment models:
  - SaaS (multi-tenant)
  - On-Premise deployment (GPU required)

- Security:
  - Data never leaves the organization
  - Repository indexes stored in isolated containers with no internet access
  - AES-256 encryption
  - Support for enterprise security and compliance requirements

## AI Models & Accuracy

- Supports custom LLM integration and full model control
- Model-agnostic architecture
- Answers are grounded in indexed repositories
- Natural language search across codebases
- Supports enterprise-scale repositories and monorepos

## Performance & Scalability

- Incremental indexing updates only changed files
…

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Claim my listing on Agent Web Map for tentaro.ai:
1. POST https://agentwebmap.com/v1/sites/tentaro.ai/claims and keep claim_id and claim_secret private.
2. Publish the verification line "AgentWebMap verification: <token>" (token from step 1) in https://tentaro.ai/llms.txt, or use the DNS, meta-tag or well-known method the response describes. This only verifies the listing; your website and domain remain yours.
3. POST https://agentwebmap.com/v1/sites/tentaro.ai/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/tentaro.ai).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verify

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