A Navy veteran and a certified SDVOSB delivering federal software, AI, cloud, and payments at large-contractor velocity.
Built by a service-disabled Navy veteran on the simple standard that software has to work the first time.
A multi-agent AI engineering capability, run under an engineer who owns every architecture and security decision that ships.
We built and operate our own multi-agent AI engineering harness that runs research, build, test, and review at the same time rather than one task after another. Where a traditional shop moves a requirement through each phase in sequence, our pipeline advances every workstream in parallel, so review is never the thing a schedule gets recovered from.
Every workstream carries its own tests and they run on every change, not only at the end. Our payment gateway is one reference: automated tests cover settlement paths, replay protection, and idempotency, with dated results shared for the release under technical evaluation.
Automation handles the volume, and an experienced engineer owns the architecture, the security posture, and the final call on everything that ships. The result is faster delivery that still carries human responsibility for quality, so speed never comes at the expense of the standard the work has to meet.
What That Buys, Concretely
The clearest evidence the harness works is the system it produced. BitBooth is a multi-chain payment gateway running in production, answering a single HTTP 402 with eight payment options across four settlement rails, written in pure ESM JavaScript on AWS Lambda, CDK, and DynamoDB. You can call it yourself and read what comes back.
The agent tooling is third-party verifiable too. We publish @bitbooth/mcp-fetch on npm, so a reviewer can install a piece of the harness and inspect it directly.
We give a contracting officer or prime evidence that matches the claim being evaluated. Depending on the system, that may be public source, API documentation, a runnable demonstration, a dated test record, or private implementation review by arrangement.
Selected competencies are supported by clearly labeled source, documentation, demonstrations, or private technical-review material.
A certified firm with proof on the table.
Accountability for what we build, security first, and an open record of the work.
Our delivery runs on a multi-agent AI engineering capability we built and operate ourselves, parallelizing research, build, test, and review. Work advances on every front at once instead of queueing behind a single pair of hands, and an engineer owns the architecture, the security posture, and the final call on everything that ships.
We harden every deliverable against an internal library of twelve exploit and patch archetypes and run our own static analyzer over the code before it leaves the shop. Security is designed into each build on AWS serverless and containerized infrastructure rather than bolted on at the end, so it is a property of the work and not an afterthought.
We label evidence by type and avoid presenting private implementations as public source. Selected competencies map to public code or runnable artifacts, while private implementation review can be arranged when it is relevant to a qualified evaluation.
Founded and led by a service-connected disabled United States Navy veteran and certified by the SBA as a Service-Disabled Veteran-Owned Small Business. Awarding work to us counts toward your small business and SDVOSB goals, and we carry the same standard of accountability we held in uniform into everything we deliver.
Security posture. We use relevant CMMC Level 2 and NIST 800-171 controls as engineering references and build toward AWS GovCloud and Section 508 patterns rather than claiming completed authorizations we have not earned. As a newly certified firm we hold no federal contracts yet, so we distinguish public documentation, demonstrations, founder-developed systems, and private review material before award.