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The context engineering layer that makes your AI smarter.

Phennec syncs your docs and code in real-time, optimizing context before it reaches your AI.
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Context Engineering Architecture

AI Agents Are Only as Smart as Their Context

Even the smartest models still struggle without the right context.

Scattered Knowledge

Your docs live in GitLab, Notion, and Slack. Your AI agent can't see the full picture.

Too Much to Process

You can't paste your entire codebase into a prompt. Important details get lost.

Stale Context

The moment you paste something into a prompt, it's already out of date. Docs drift from code.

How Phennec Works

01

Connects Your Stack

Link your Git repositories, Notion workspaces, and Drive folders in a few clicks.

02

Builds a Unique Context Layer

Phennec vectorizes your data and builds a smart context graph.

03

Delivers It to Your AI

Call standard MCP tools from Cursor or Claude. Context is injected automatically.

Phennec Architecture

What You Can Do with Phennec

Spend less time onboarding. Debug faster. Focus on real work.

For New Engineers

Onboard in Days, Not Weeks

Problem

It takes 2-4 weeks just to understand the tech stack and locate docs scattered across GitLab, Notion, and Slack.

Solution

Ask Phennec: 'What is the architecture?' It scans all repos and docs instantly to provide a comprehensive summary.

2-4 weeks → 2-3 days Onboarding time
For Product Managers

Automate Release Notes

Problem

Manually digging through hundreds of commits and issues to compile a changelog takes 3-5 hours per release.

Solution

Phennec pulls together related issues, PRs, and specs to auto-generate user-friendly release notes in seconds.

3-5 hours → 15 mins Time per release
For Developers

Debug Faster

Problem

Identifying the root cause of a production bug requires cross-referencing logs, recent code changes, and past tickets.

Solution

Feed the error log to Phennec. It finds relevant code history and previously resolved issues to suggest a fix.

Days → Minutes Time to fix
For QA Engineers

Smarter Test Coverage

Problem

Creating comprehensive test cases from complex requirements is error-prone, and edge cases get missed.

Solution

Phennec analyzes requirements and past bugs to generate a complete checklist, including regression tests.

75% less time planning Test planning time

Works with Your Stack

Link the tools you already use in a few clicks.

All Your Data

GitLab
GitHub
Google
Notion
Slack
Jira

Connected to Your Preferred Workspace via MCP

Cursor
Anthropic
VS Code
Windsurf
OpenAI
GitHub Copilot

Features You Can Trust

Context management, search, access control, and visibility — all in one place.

Visibility and Usage Insights

Track:

  • Context usage
  • Embedding statistics
  • MCP traffic per project or user

Get a clearer image of how your employees are using AI.

Visibility and usage insights

Semantic Search That Actually Works

Search across all your connected data by meaning, not just keywords. Scoped by project, group, or team.

Your AI agent sees only what it should — and understands it better.

Semantic search that actually works

Enterprise-Grade Access Control

Admins define:

  • Who can access which projects
  • Which data sources are available
  • How context is shared across teams

Everything is transparent, auditable, and controlled.

Enterprise-grade access control

One Source of Truth

Centralized context management for all your project knowledge — documents, specs, and code references — with clear structure and ownership.

No more guessing which document is "the right one".

One Source of Truth

Enterprise-Grade Security

Your data, your rules. Encrypted, auditable, and compliant by design.

SOC2 Compliant (Planned)
End-to-End Encryption
Role-Based Access Control