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AI for engineering. Ship more with the team you have.

Agents take the triage, the test drafts, the docs, and the release checks. Your engineers keep merge and deploy rights.

An example release check: tests, migrations, rollback, monitoring, sources, and a approve deploy step.

Three industries, one playbook.

One firm, three industries. Each gets a priced plan, a working system, and a log of everything it did.

Financial services

Onboarding, reconciliation, wire releases, and advisor operations, built for compliance review from day one: every action logged, each tool limited to its own data.

Private equity

Put AI to work across portfolio companies without adding headcount: an assessment for each company, ranked by what each workflow is worth, and one team that builds and runs it.

Digital assets

Deposits explained from on-chain activity, partner research with the sources attached, and payment review notes prepared before the decision.

In your industry.

  1. Financial services

    A lender's loan system connections updated in stages, with an engineer approving each release.

  2. Private equity

    A portfolio company's internal tools updated with a release check the operating partner can read.

  3. Digital assets

    An exchange's deposit and withdrawal services watched after every deploy, with rollback in a person's hands.

The jobs it takes off your plate.

  1. 01

    Triage every ticket

    Each ticket labeled, assigned, and reproduced, with the suspected cause attached.

    Today: Bugs sit unlabeled until someone has a free hour, and the urgent one is found late (example).
  2. 02

    Draft the tests and the docs

    Every change arrives with drafted tests and docs for an engineer to review.

    Today: Tests and docs get skipped when the deadline is Friday (example).
  3. 03

    Check every release before it ships

    A release check runs the list every time, and a person approves the deploy.

    Today: The release checklist lives on a wiki page, and the skipped step is the one that broke.

What it looks like in a week.

A week · engineering
  1. Mon

    14 new tickets labeled, assigned, and reproduced

    Done
  2. Tue

    Tests and docs drafted for the statement export change

    Drafted
  3. Wed

    Release check passed; deploy approved by Chen

    Approved
  4. Thu

    Error rate on the deposit endpoint rose after deploy: flagged, rolled back

    Flagged
  5. Fri

    Fix for the deposit endpoint waiting on Chen's review

    Waiting
  6. Fri

    Uptime report: two incidents caught before customers noticed

    Done

Your AI team for engineering.

  1. Website and app building

    Builds and updates your tools from an approved plan, in pull requests an engineer reviews and merges.

    Result · Working software, shipped in stages
  2. Testing and uptime

    Drafts tests, runs the release check, and watches errors and uptime after each deploy. A person decides on rollback.

    Result · Fewer bugs reaching customers

Want to see one run end to end?

Watch the demos

Plugs into the tools you already use.

  1. Website (CMS)

    WordPress, Webflow, your client portal

  2. Team chat

    Slack, Teams

  3. Core system and transactions

    Custodian, policy, or loan platform

  4. Website traffic (analytics)

    Google Analytics

How to start.

A one-week Assessment on the engineering job that leaks most, credited in full toward a Build Sprint within 30 days.

  1. 01 · Find it

    AI Assessment

    $1,500one week
  2. 02 · Build it

    AI Build Sprint

    $5,000two weeks · flat

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Before you book a call.

01What does it need access to?

The ticket queue, the repository, the CI pipeline, and your monitoring. Agents open pull requests; they do not merge or deploy.

02Who approves a deploy?

An engineer you name. The release check runs the list and stops on any failure. The deploy button and the rollback stay with a person.

03How long until it runs?

One week for the Assessment and two weeks for the Build Sprint, starting with one repository.

04What happens when it gets something wrong?

A wrong test fails review, not production. A bad deploy is caught by monitoring and rolled back by a person in one step.

05What does it cost?

Prices are published: a $1,500 Assessment, a $5,000 Build Sprint, and AI Operations at $999 a month. Bigger builds are priced before work starts.

Start with one function. Grow into the organization.

Begin with the job that costs the most each week.

  • Free first call
  • Start with the job that costs the most
  • Every build plugs into the same playbook

Ground track · wherever our clients operate