Est. 2013 / McLean, Virginia
We architect, build and audit software for teams who need it right the first time. Thirteen years of engineering, now with AI behind every line of it.
2013
Founded
13+
Years in production
AI-native
Engineering practice
§ 01 — Practice
Most teams need one of these. The good ones eventually need all three — and it matters that the same engineers who design your system are the ones who ship it and live with it afterwards.
01 / Architect
The expensive mistakes are made in the first month, not the last. We design your data model, your service boundaries and your path off what you are on today — and hand you decisions your team can act on, not a diagram.
02 / Build
From first commit to production and everything after it. You get working software on a real schedule, built by a team that stays on the hook once it is live.
03 / Audit
Inherited it, acquiring it, or quietly worried about it. We tell you what is actually in there — architecture, security, dependency risk — and what it will cost to fix, ranked by what breaks first.
§ 02 — Engineering
Everyone has access to the same models now. The difference is judgement — knowing what to hand off, what to keep, and what will still be standing in five years.
01
We use AI the way a good firm uses any tool that multiplies output — aggressively, and with a human answerable for the result. Speed you can ship, not speed you have to apologise for.
02
Your software will be used by assistants and agents, not only by people. We design for that from the start instead of bolting it on once your competitors have.
03
Systems that forget are systems that repeat themselves. We build software that holds on to what it learns — across models, vendors and years.
04
You talk to the engineers building your system. No account manager relaying questions, no offshore handoff at the end of the call.
05
Product, infrastructure and everything in between. When something breaks at 3am, there is no vendor to blame and no ticket to escalate.
06
Anyone can ship something that works this quarter. We build the version that is still serving you — and still maintainable — years from now.
§ 03 — Thesis
Almost everything valuable starts as a mess — a thread, a receipt, a decision made in passing. Turning that into something a system can actually use is the hard part, and it is the same problem whether the user is a person or a machine.
For machines
An assistant that forgets everything between conversations makes the same mistake forever. Nuramem holds decisions, plans, people and state as typed records, reachable over MCP — so the same memory loads on whichever model and platform you are using today.
For people
Years of ownership usually survive as a drawer of paper and a camera roll. RevHead Pro reads receipts, insurance cards and dyno sheets straight into a structured history — so a build's full story stays intact, and stays yours.
§ 04 — Portfolio
Our own products
The fastest way to know whether an engineering firm is any good is to look at what they ship when nobody is paying them to. These are ours.
§ 05 — Company
LeadHash has been building software since 2013 — long enough to have watched several generations of tooling arrive as the answer to everything, and to tell the difference between something genuinely new and this year's word for an old idea.
AI is the real thing. It has changed what a small team can deliver and how fast they can deliver it. What it has not changed is what makes software worth trusting: clear boundaries, honest failure modes, and an engineer who will still answer the phone about it years later.
We build with the new leverage and the old standards. That combination is the whole company.
A system to design, a product to ship, or a codebase someone needs to look at honestly. You will hear back from an engineer.