ProgramRun and Own

We run it. We are on the hook.

Defined coverage, an incident process with runbooks and postmortems, and one party answerable when it breaks. Coverage is written into each contract. We assess before we operate.

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You can ship faster than you can trust what you shipped

You can generate working-looking code without us. What you cannot generate is knowing it is correct, running it safely, and someone answerable when it breaks. The bottleneck moved from building to trusting. Run and Own covers the second half.

What you are holding

More code reaches production per engineer than ever. Someone has to be responsible for it. In finance the stakes are specific:

Code nobody fully understands

AI-generated code in the codebase that no one on your team can fully explain, running against real money.

Downtime with a price tag

Uptime carries a measurable cost, and a regulator expects a party that is accountable for the system.

Security failures are existential

In a regulated system a breach is not a bug for next sprint. Hardening is easier to justify than the alternative.

No one on watch at night

Your team goes home. The system keeps running, and so do the incidents.

The builder has left

The agency that set it up is no longer engaged, or the person who built the infrastructure has moved on.

An audit ahead

Regulated finance means surviving an audit while holding the code, and technical due diligence before a funding round.

What Run and Own includes

A monthly retainer with the coverage and incident terms written in. What you get:

Defined coverage

Coverage is written into the contract. UTC+7 is the night shift: when a US system pages at 2 a.m. Pacific it is 4 p.m. in Da Nang, and our team is awake and at its desk, not paged out of bed. For European accounts our working day is your early morning. We work while your team sleeps.

Incident process

Runbooks, an on-call rotation, severity definitions and postmortems. In place before the contract starts, not after the first incident.

Assessment first

We do not run a system we have not assessed. The assessment is where we earn the right to operate it, and where we decline one we should not.

Engineers on call, not a help desk

The people on call are full-stack software engineers who understand the application layer, so root cause and code-level fixes come from the same team.

One answerable party

One party on the hook for what runs, not a ticket queue.

What we run

Three layers we operate. Pick the ones that match what you run. The application itself is covered too, not only the layers under it.

Platform Ops

The infrastructure layer. Monitoring, incident response, CI/CD health, cloud cost, security patching.

Data Engineering

Pipelines that keep flowing. Schema drift handling, data quality, warehouse health, analytics support.

Process Automation

Agentic workflows in production. Cost guardrails, prompt tuning, model evals, automated remediation.

How it starts

Each step de-risks the next, and each is scoped from the one before it.

1. Production Readiness Assessment

2 to 3 weeks, fixed fee. You get findings, a remediation plan and a quote for the next step.

2. Hardening and Rescue

Fixed price, scoped from the assessment. The system reaches the production bar.

3. Run and Own

Monthly retainer with coverage and incident terms. We operate it and stay on the hook.

Proof

Systems we modernized and kept running, in finance and at scale.

Kafi, securities trading

We documented an undocumented trading platform and completed the entire transition without a single trading disruption. Dwarves now supports 50 to 60% of platform development.

Case study →
Mudah, Malaysia's largest marketplace

A monolithic PHP system decomposed into Go services one component at a time. Average page load times down by over 40%, and the platform carries 3x the concurrent users.

Case study →
CIMB, banking

The API gateway and legacy connectors that join a new wealth platform to the bank's core systems, launching self-service investing and reducing manual processing.

Neutronpay, payments

A Lightning Network payment platform built alongside the client's technical leadership, reducing transaction fees by up to 90% against traditional methods.

Case study →

Book an assessment

Tell us what runs, where, and who depends on it. The more specific you are, the faster we can scope the assessment.

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