Applied AI products
Lawyer-grade documents, without the lawyer-grade gate
An AI-assisted legal document preparation product that turns a guided conversation into a precise, defensible agreement — work that used to start at a retainer.
We build the software that used to be out of reach.
BigTB is a technology company that gives small and mid-sized businesses what only large ones used to afford: enterprise-grade engineering and AI-native products. We spent the open-source decade delivering custom systems at a tenth of the cost. With AI, we now reach further — on smaller budgets. And we don’t stop at the build: we design it, host it, secure it, and keep it running.
The total solution - We don’t just build it. We run it.
Most companies build your website or app and hand you the keys to a machine you don’t know how to run. We do the whole thing — and then we keep it running, so it just works without you having to think about how.
Build it right — once
Design · Architecture · Build
The part most people picture: how it looks, how it’s built underneath, and the software itself — done right the first time. It’s also the part most companies are happy to finish and walk away from.
Keep it running — forever
Hosting · Security · Updates · Support
The part nobody tells you about — and the part that quietly decides whether your site stays fast, safe, and online. We host it, protect it, keep it current, and watch over it. You never think about any of it.
Why we can do this - The same idea, twice — first with open source, now with AI.
For most of the last decade, real custom software was a privilege of scale. The companies that needed it most — small and mid-sized businesses — were quoted from-scratch prices they could never justify. We have spent six years closing that gap. Twice.
Then — the open-source decade
Semi-custom systems at a tenth of the cost.
We learned to assemble mature, battle-tested open-source components into solutions that were genuinely custom where it mattered and reused everywhere it didn’t. A business got the software it actually needed for roughly a tenth of what building it from scratch would have cost — and we got very good at knowing which tenth to build.
Now — the AI-native era
Further than before, on smaller budgets.
AI moved the line again. The part that used to require an expensive specialist — diagnosing a struggling business, reasoning about a legal document, validating whether an idea’s economics could ever close — is now something we can build, guard, and ship affordably. We’re reaching further than the open-source decade ever let us, on budgets that are smaller, not larger.
The throughline hasn’t changed: deliver the outcome a much larger budget would have bought, to the businesses that were never supposed to be able to afford it.
Selected work - Six years of real outcomes, across very different businesses.
Deliberately abstracted — the shape of the work translates across industries better than the specifics anyway. The pattern is constant: a business sitting on more value than it could reach, and the layer we built to reach it.
Decision intelligence
A diagnosis before a prescription
An AI-native analysis engine that ingests fifty-plus signals about a business, finds where it is actually bleeding, and sequences the work: stabilize first, grow second.
Product validation
The cheapest version of the truth
A real, working product for an on-demand mobile services startup — built to find out whether the economics worked before the founder bet everything on the assumption that they did.
Services - What we build.
We sit between strategy and engineering. The work is always tailored to the business — but the categories recur.
- AI-native products and tooling. Applied AI that carries the part of the work that used to require a specialist — diagnosis, document reasoning, validation — inside guardrails strong enough to trust. The expertise, encoded and made affordable.
- Workflow modernization. Replacing aging desktop or single-purpose tooling with modern, distributed systems. Same process, removed friction, restored mobility — and the team trains in an afternoon.
- Legacy data activation. Parallel access layers and workflow surfaces built on top of decades-old systems of record. The legacy system keeps running. The business that runs on it gets fast.
- Reporting and decision intelligence. Cross-system dashboards, cohort analytics, and AI-assisted analysis assembled from the systems you already use. From end-of-month to on-demand — and from metrics to actual recommendations.
How we work
Four principles. They show up in every engagement.
Outcomes, not deliverables
We are paid to change what the business can do — not to ship a quantity of software. Sometimes the right outcome is a system. Sometimes it’s the discipline to tell you an idea won’t pay off before you fund it.
Compose before you build
The most expensive line of code is the one you wrote when a proven open-source component or a well-aimed model call would have done it. We build the part that’s actually specific to you, and reuse everything else.
Augment, don’t replace
The systems your business already runs on are usually its most valuable asset. We build alongside them, preserve what works, and remove the friction around it.
Quiet release
Customers shouldn’t notice the engineering. They should notice that the work that used to be hard isn’t anymore.
Tell us where the value is stuck.
Headquarters
- Headquarters
Headquartered in Fabulous Las Vegas, Nevada - Engagements
Serving clients nationwide
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