Measure how AI impacts software delivery

Bloomfilter connects every system in the delivery lifecycle, attributes every agent's work, and benchmarks performance, adherence, risk, and cost against the pre-AI baseline.

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Every ticket , commit , build , and agent session , joined into one record. The record is what shows whether an agent‑assisted change shipped faster, or whether the hours it saved came back as rework two stages later.

Every agent action, tracked across the whole lifecycle

From strategy to support, Bloomfilter maps each agent action to the stage where it happened and traces what followed. Not just that an agent ran. The commit it wrote, the PR it entered, and whether that work shipped clean or came back from QA.

Upstream

Strategize

Specify

Core

Plan

Build

Verify

Review

Ship

Downstream

Support

01Read the data

Bloomfilter connects to the systems your teams already run and reads the metadata they produce as a byproduct of daily work. Across the full delivery lifecycle: tickets, commits, reviews, builds, deploys, agent sessions. No new workflows. Nothing to track by hand.

02Build the map

Bloomfilter stitches that metadata into a continuous map of the delivery process, shaped to how it really runs. It traces work items end to end, measures flow at every stage, and binds each agent session to the work it touched.

03Get the answers

Every event, work item, and agent session lands in one structured dataset. Filter it, segment it, or ask in plain language. Every number is computed from the record and audits back to source.

Every system, every agent. One dataset.

Planning, code, review, CI, deploys, and the agents working inside them. Bloomfilter reads each at the source, through connectors running in customer production today. A new stack is a configuration, not a project.