See the work Git can't.
Your whole org's real engineering work — human hours, agent runs and tokens, tied to what shipped — captured at the source. Not commits scraped after the fact. The leverage behind your AI investment, measured properly.
Time Slice
Where the org's work actually goes
12 agents
running in parallel
18 repos
one org view
3.8x
Leverage Score
Measured at the workface, not the commit.
DevClocked turns source-level work sessions into the operating layer for engineering leaders, platform teams, and finance.
The data gap
Git-based tools infer AI work from commits and miss the work that never lands. DevClocked captures the session, so leaders see the work Git can't.
Org leverage dashboard
Team and org Leverage Score, human hours vs agent runs, output per engineer, and trends that show where the multiplier is real.
AI spend tied to output
Token cost by team, project, and agent mapped to shipped features, so the AI bill connects to delivered output.
Attribution across teams
See who and what shipped each feature across humans, agents, teams, and repos without manual input.
Benchmark leverage
Compare leverage internally across teams and externally against the builders adopting agentic workflows fastest.
Governance and security
Admin roles, privacy-first capture, and Enterprise governance path for SSO, SAML/SCIM, and data residency.
External proof
“The ability to record all my development work, across multiple agents, all working concurrently, has made project visibility infinitely better.”
Ryan Crabbe, Founder, Tota
10,000
Hours analysed
368bn
Tokens captured
500+
Projects
Questions buyers ask
The short answers for teams comparing Git analytics, token counters, and agent observability.
Make AI leverage measurable.
Bring humans, agents, repos, and shipped output into one source-level picture.