Our mission:
Scale trustworthy AI
Ship with confidence
A platform that brings Human + AI engineering visibility — turn activity into explainable insights, automate workflows, and scale reliable outputs so teams measure code velocity, detect regressions, and ship with confidence.
Why we started Deepscope
Monday stand-ups used to be archaeology: dig through Jira, GitHub, Slack, and still guess why a pull-request stalled. We knew there had to be a lighter way to surface real blockers without turning developers into dashboard janitors.
The insight: combine activity metadata with explainable AI to detect regressions, measure code velocity, and surface flow problems early - while humans stay in control.
Our mission: give engineering organizations fair, directional visibility that improves flow instead of fueling micromanagement.
“AI is about amplifying human potential, not replacing it.”
What we believe
- Human + AI > AI alone: insights must be explainable and overridable.
- Privacy by default: metadata first, code only on explicit opt-in.
- Directional, not punitive: focus on flow health, not individual scoreboards.
- Transparent metrics: every number has a 'Why am I seeing this?' link.
- Act where you work: insights land in Slack, not another meeting.
How it works
Connect in two minutes, understand in two clicks.
Connect
Connect GitHub, CI, and Slack with minimal scopes — no code storage by default.
Measure
Measure code velocity, merge time, review cycles, and queue depth — definitions included.
Understand
AI surfaces regressions and blockers with confidence scores and raw signals.
Act
Priority Slack summaries and direct links to PRs that need attention — act faster and reduce regressions.
What’s next
- 1
Public Beta
Full dashboard + Slack digest—Q1 2025
- 2
Code-health opt-in
AI signals on test coverage & review depth—Q2 2025
- 3
Enterprise SSO
SOC-2 + on-prem agents—Q3 2025
Follow granular updates in our changelog.
Ready to maximize your team's efficiency?
Join Deepscope to unlock your teams AI potential.