Build, modernize and automate — we join your team or take a whole workstream.
Test the idea, build the MVP fast, then win your first customers.
Eight ways we build, move and run software.
Fifteen years of commercial development behind every engagement.
Software & product development
Web and mobile products, SaaS, APIs and backends, from the first working version to scale.
Learn moreCloud, infrastructure & data
Cloud architecture, DevOps and data platforms that keep working under real load.
Learn moreArchitecture & modernization
Untangle, rebuild and migrate systems that already run, without stopping the business.
Learn moreAI, automation & agents
AI agents, copilots and workflow automation built around real workflows, not demos.
Learn moreConsulting & product design
Discovery, requirements, UX and architecture planning, before and during the build.
Learn moreEnterprise systems & integration
API integrations, process automation and custom business systems, including our own CRM.
Learn moreQuality, security & compliance
Testing, security reviews and technical readiness for audits.
Learn moreManaged services & support
Maintenance, operations and support once the system is live.
Learn moreThe same quality gates, reached faster.
However you run the work, we build with an agentic harness.
AI coding agents write the code inside a controlled loop. Specs go in, automated tests and evaluations decide what passes, and a person reviews before anything ships. All of our delivery now runs this way: the same quality gates, reached faster.
- Specs before code. Agents work from what was agreed, not from guesses.
- Tests and evaluations as the gate. Failures go back to the agents.
- A person approves what ships. Nothing reaches production unreviewed.
Apache IcebergWork you can open and check.
Twenty-six cases across ten industries, grouped by the kind of problem we solved.
From idea to first customers, in four stages.
Most new products start at Validate and move right. You can enter at any stage.
Validate
Test the idea before you commit to build it.
- Validation Sprint, usually 2–3 weeks
- Demand Validation Sprint
- MVP Diagnostics & Repositioning
Build
A first version built to last, with the proof still attached.
- Validation MVP Build
- V1 Product Build
- AI Workflow / Internal Product Build
Grow
First paying customers, pilots and a repeatable path to them.
- First Paying Customers Program
- Pilot-to-Revenue Program
- Developer Ecosystem Growth Program
Scale & Partner
Modernize what works, and bring partners in.
- AI / Data / Cloud Modernization Engagement
- Market Entry Proof Program
- Portfolio Proof Program
Sales Blackbox
Conversation intelligence for phone-heavy sales teams. It captures what customers say, scores every call, and turns each conversation into CRM context, follow-up tasks and coaching.
We built it, we run it, and we use it to rethink sales processes, for ourselves and for clients.
A small senior team, backed by a bench of 20+.
The founders hold the product and engineering logic and stay hands-on from the first call to the handover. A squad of 10+ engineers can be assembled for a single project, drawn from a bench of 20+ members.


Three ways to work with us.
Whatever the service line, the format is one of these.
A defined project
A clear scope and an end date: a first build, a modernization, an AI workflow. Fixed-scope engagements start at $4,500, usually 2–6 weeks.
Extend your team
Senior engineers join your team and work in your process. Hourly work has no minimum; monthly support suits longer work.
A dedicated team
A multi-role team on one mission, with its own delivery cadence, working as an extension of yours. Three months minimum, then month to month with 30 days’ notice.
Fresh thinking from inside the work.
Each article is tagged with the service it relates to.
Building AI-Native Products in 2026
What AI-native products are, how they differ from AI wrappers, and how to validate and build them without overbuilding.
Read the articleAgent Governance Is Becoming Product Management
As agents begin performing real work, governance needs product discipline: owner, scope, permissions, review and retirement.
Read the articleThe Data Layer Is Becoming A Trust Layer
When AI acts from company data, the data layer needs provenance, freshness, ownership, permissions and review.
Read the articleQuestions before you write to us.
What does Proof Engine do?
Do you take pure development work?
Is Proof Engine still a validation studio?
How much does it cost?
Who owns the code and the IP?
Can you extend our team?
How long does a typical engagement take?
Where are you based, and which time zones do you work in?
Tell us what you need built, fixed or decided.
Describe the product, the system or the problem. We reply with a clear next step, usually within 24 hours.