BetaQuick is a custom software delivery shop. AI is our advantage where it earns its place. We build scoped capabilities for the firms who deliver software for clients, ship products to market, or run operations at scale. Sub on your paper, under your engagement, alongside your team.
Custom software is the offering. AI is the differentiator. Whether you need an AI feature in a product, an automation in a client delivery, or a build that compresses your own operation, the shape is the same: a scoped capability with a fixed plan and a working result.
2 to 4 week paid discovery sprint. Fixed plan, working prototype. Then a milestone-billed build.
Shipped software at Capital One, NIH, SSA, General Dynamics, and Northrop Grumman. AI-native delivery, production today. The same engineering, pointed at your client engagement or your operation.
We work with firms that have a client to keep happy, a product to ship, or an operation to run. The common shape is the engagement: scoped capability, paid discovery sprint first, then a milestone-billed build under your paper.
You hold the client engagement. We build the capability into what you deliver. Your client sees one team. You keep the account.
You implement the platform. Your client now asks for AI on top. We build that layer under your engagement so you ship something new without standing up an AI team.
We extend your roadmap. Build AI features into your product, or take a scoped overflow build off your engineering team. Same paper, your release cadence.
You deliver a repeatable outcome for mid-size clients. The expensive part is the manual hours. We build custom software that compresses that line so the same team serves more clients without new hires.
A few examples of what an actual build looks like. The specifics depend on whether we are shipping inside a client engagement, into your product, or against your own delivery line. AI shows up where it earns its place. The rest is custom software, integration, and the glue that makes everything work together.
Pull structured data out of the forms, claims, contracts, and intake docs your work runs on. Confidence scoring, human-in-loop on edges, audit logging.
Voicebot deflection for routine call volume. Real-time retrieval and suggested answers beside the human agent. Built on Amazon Connect or in your existing stack.
Route, prioritize, and pre-summarize incoming work so your team handles exceptions, not sorting. Plays well with the CRM or ticketing system you already run.
For ISVs adding AI to a mature product. We extend the roadmap, ship features your customers are asking for, and document the patterns so your team owns the build after.
Move data between the tools your team already pays for. APIs, webhooks, sync jobs, custom dashboards. The unsexy work that compresses real labor.
Cleaning, structuring, and governing the data the AI will read. Often the prerequisite to everything else. Less glamorous, often where the real ROI is hiding.
Same shape whether we are subbing under your client engagement, building inside your roadmap, or compressing your operation. No long discovery. No staffing pitch. A small paid sprint that produces the scope, the plan, the price, and a working prototype.
We sit with your team, scope the capability, design the build, and ship a working prototype on your real data. You walk away with a fixed plan, a fixed price, and proof the thing works. If we are not the right fit, you keep the artifacts.
We deliver against the plan, billed by milestone, alongside your team. For sub work this runs under your MSA or SOW. For direct work this runs against your delivery milestones. Built to be owned by your team after we ship.
Once the capability ships and proves out, you decide what is next. Continue with us on the next capability under the same paper. Or take the handoff, run it in-house, and call us back when the next one comes up.
Most commercial work does not need a federal-grade compliance posture. When it does, we deliver to it. When it does not, we keep the build clean and the controls proportionate.
Available when the work requires it: SOC 2 controls and posture. HIPAA & HITRUST for health work. PCI & GLBA for financial work. NIST AI RMF for responsible-AI governance. Eval pipelines, prompt-injection defenses, and audit-grade logging on every AI build, regulated or not.
BetaQuick is small on purpose. The senior engineer who shows up to the call is the same one who ships the build. As the work grows, the team grows around the same bar.
Twenty plus years shipping software in regulated, high-stakes environments. Financial services scale at Capital One. Federal health and benefits at SSA, CMS, and NIH. Defense and federal IT delivery at General Dynamics and Northrop Grumman.
Today running BetaQuick. We built and operate a production AI voice and workflow system, which is how we know what AI is actually good at and what it is not.
I show up to the call. I write the plan. I ship the build. When the work outgrows me, I grow the team around the same bar.
Twenty minutes. Bring the engagement, the product roadmap, or the operation you would compress if you could. We will tell you fast whether a paid discovery sprint is the right next step.