A Navy veteran and a certified SDVOSB delivering federal software, AI, cloud, and cybersecurity 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 that produces large-contractor output without inflating cost.
We built and operate our own multi-agent AI engineering harness that runs research, build, test, and security 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, which is the core reason a certified small business can hold the pace of a far larger contractor.
The harness produces the output and the speed a buyer would normally expect from a much larger and more expensive team, without the staffing footprint that usually carries that cost. A federal buyer gets the throughput of a big integrator and the price discipline, focus, and accountability of a small certified firm in the same engagement.
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.
Parallelism, Measured
The clearest evidence the harness runs at scale is our Autonomous Defensive Research Fleet, a containerized agent fleet of nineteen distinct roles. In its first twenty-four hours of operation it produced 710 research documents across thirty crash-free runs, which is the kind of throughput that makes the large-team claim something a reviewer can check rather than take on faith.
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.
Most small firms bidding federal software work ask a contracting officer to take their capability on faith. We do the opposite. We keep a public lab of production systems that a CO, a prime evaluating us for a teaming agreement, or any reviewer can read and run before a single dollar moves, and everything in it is hardened against an internal lab of exploit and patch archetypes we maintain ourselves. The engineering speaks for itself.
We do not bid on capability we cannot show. Every core competency maps to working code you can vet before award.
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 security review. It is how one certified small business produces the velocity and output a buyer would normally expect from a much larger and more expensive contractor.
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 build in the open and we do not claim capability we cannot show. Every core competency on our capability statement maps to working code in a public lab that a reviewer can read and run, which means you can judge the engineering before award instead of discovering it afterward.
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 engineer to align with CMMC Level 2 and NIST 800-171 controls 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, which is exactly why we put the work in a public lab. You can vet the engineering before award instead of after.