Modomics

Unlock capacity for your engineers.

The System of Agency

Modomics frees engineering capacity by finding the maintenance draining your engineers and resolving it.

Every module across your estate is continuously measured: where your engineers lose hours to friction, and which modules are in active use.

Modomics builds the institutional context of your estate, then provides an agentic teammate who acts on what is measured, alongside your team.

Freed capacity goes back to your team. Every change is re-measured, so the hours returned are evidence, not estimates.

Modomics dashboard showing module investigations moving from backlog through investigating and review to reviewed, each ranked by impact level

Your estate is deterministically measured from inside your own CI.
Before any agentic action, Modomics measures.

The agentic teammate starts from these signals. Never from a hunch.

Friction

Maintenance Tax: where activity concentrates, the hotspots that never settle, and how much of your team's activity is maintenance rather than new work.

Value

Module Value Score: what depends on it, in code and in production traffic, whether that is growing, and whether anything still calls it.

Delivery

DORA metrics: set against the hours each module draws and the value it gives back. Where changes start failing or delivery slows, the agentic teammate looks first.

Meet Modo

The agentic teammate who takes on the maintenance of your estate, freeing your existing team for their roadmap.

Every level is a permission set you sign off, earned on evidence, and revocable.

Observer

Learns your estate from the measured signals before it touches anything. No AI is involved and no action is taken.

Advisor

Investigates what the signals flag: code nothing uses any more, work done in more than one place, and the hotspots where your engineers lose hours. Finds the root cause, down to the file and line, then proposes a change for your engineers to accept or reject.

Contributor

Carries out agreed maintenance as scoped pull requests, each one bounded and reviewed by your engineers.

Modo at Work

Every night, Modo picks up what matters most.
By morning, its work is ready for review.

Modomics dashboard with a Modo investigation open for review: the finding, its recommendation, and agree or disagree controls

Proactive support. Modo picks the highest-impact signals from your software estate and investigates them while your team is offline.

Your engineers decide. They agree or disagree with each finding and say why. Their reasoning teaches Modo how best to work with the team.

Work made visible. Reviewed findings export to your team's existing ticketing system, alongside the rest of the roadmap.

Team Ownership

Modomics exists to give you agency over your codebase, not to monitor the people who build it.

When Modo flags a module where your engineers lose the most hours, the response is prioritisation and remediation, not a performance review.

The system measures modules, not engineers.

Effective Agency

Modo reasons and proposes from the institutional context Modomics builds of your estate.

If a recommendation doesn’t fit your context, your engineers reject it and say why, and Modo learns from it.

The System of Agency serves your engineering teams.

Insights within the hour

On day one your estate is measured and presented as your baseline.
Everything after is measured against it.

  1. Install GitHub App

    One authorisation, scoped to the repositories you choose, with read-only access to your code. No build system integration, no agent deployment.

  2. Epoch Reconstruction

    Your history is reconstructed once, on an ephemeral runner discarded after the run. Every module is measured, and only the metrics are sent to Modomics. No code leaves your estate.

  3. Modo starts observing

    From then on, every commit to your default branch is measured against the baseline, and Modo learns your estate before it touches anything. Modo starts observing.

Virtuous Cycle

The system’s agency deepens with every revolution. Each cycle compounds understanding, sharpens measurement and earns trust for the next action.

1. Codebase Analysis

Proprietary AST parsing and git archaeology map the structural and temporal reality of the codebase. This is observation, not interpretation: compiler-grade precision, with no AI involved.

2. Objective Measurement

Maintenance Tax and Module Value Score are calculated across every module across your software estate. Cost & value are quantified, creating the institutional context map that prioritises what matters.

3. Signals Raised

Deterministic pattern recognition surfaces modules that warrant attention: high Maintenance Tax, complexity density outliers, stagnation indicators, dead-code candidates, and work done in more than one place.

4. Agentic Investigation

Modo investigates flagged modules with full context from your software estate: root cause analysis, dependency impact mapping, remediation feasibility. Intelligence becomes understanding.

5. Agentic Remediation

Modo carries out agreed maintenance as scoped pull requests, within boundaries your engineers set. Every merged change is re-measured against your baseline, so the hours returned are evidence, not estimates.

6. System Calibration

Learns how your organisation works from the decisions your engineers record: what they accept, what they reject, and why. Sensible defaults become your organisation's own.

Virtuous Cycle

The system’s agency deepens with every revolution. Each cycle compounds understanding, sharpens measurement and earns trust for the next action.

1. Codebase Analysis

Proprietary AST parsing and git archaeology map the structural and temporal reality of the codebase. This is observation, not interpretation: compiler-grade precision, with no AI involved.

2. Objective Measurement

Maintenance Tax and Module Value Score are calculated across every module across your software estate. Cost & value are quantified, creating the institutional context map that prioritises what matters.

3. Signals Raised

Deterministic pattern recognition surfaces modules that warrant attention: high Maintenance Tax, complexity density outliers, stagnation indicators, dead-code candidates, and work done in more than one place.

4. Agentic Investigation

Modo investigates flagged modules with full context from your software estate: root cause analysis, dependency impact mapping, remediation feasibility. Intelligence becomes understanding.

5. Agentic Remediation

Modo carries out agreed maintenance as scoped pull requests, within boundaries your engineers set. Every merged change is re-measured against your baseline, so the hours returned are evidence, not estimates.

6. System Calibration

Learns how your organisation works from the decisions your engineers record: what they accept, what they reject, and why. Sensible defaults become your organisation's own.

Your estate measured within the hour.
Then meet Modo.

lets.go@modomics.ai