Built from scratch, handed over whole.
A demo proves an idea works once. A production system has to work every day, on real data, at real volume, and at a cost that still makes sense a year later. That gap is where most of the engineering lives, and closing it is the work we take on.
- Applied AI Researcher, lead
- Product Manager, lead
- AI Engineer, specialist
- Data Engineer, specialist
- Full-Stack Developer, specialist
- Hardware Engineer, specialist
- ML Engineer, specialist
- Platform Engineer, specialist
- Product & Data Analyst, specialist
Straight to this part of the team: labs@whitehand.ai
End-to-End R&D Execution
Our elite team builds advanced Agentic AI systems from scratch: validated, accountable, and grounded in peer-reviewed research.
That covers the hardest technical unknowns in your project, from multi-agent LLM engineering to knowledge-graph design, each validated before it moves on.
Models are selected and compressed for the job, so the system runs on hardware you can own. A system that only runs on a rented frontier cluster is a system you do not control.
- Applied AI Researcher, lead
- Data Engineer, specialist
- ML Engineer, specialist
- Platform Engineer, specialist
Building models, pipelines, and agent systems from the ground up.
Turnkey Delivery (Software & Hardware)
We deliver a fully operational system: deployed, monitored, and handed over, including the local GPU servers and infrastructure it runs on.
Delivery means a system running in production, not a repository and a README. Where your data has to stay inside your perimeter, the hardware stays there with it.
The hardware is part of the deliverable for the same reason the models are compressed. Inference has to be affordable at your volume, and it has to keep running when nobody from our team is on the call.
- Full-Stack Developer, specialist
- Hardware Engineer, specialist
- ML Engineer, specialist
- Platform Engineer, specialist
Turning the system into a deployed, running product.
100% Intellectual Property Transfer
The work is entirely yours. We transfer all IP, custom models, and codebases to your organization.
That includes the model weights, the critical data the system was built on, and the full documentation. Where the work is original enough to patent, we support your application on the technical side.
Some of what keeps a system running never gets written down: how to retrain it, which settings matter, and what to check when it fails. We hand that know-how over too, in working sessions with your engineers.
- Product Manager, lead
- ML Engineer, specialist
- Platform Engineer, specialist
Handing over every line of code, weight, and know-how to you.
Continuous Product Support
Once everything is yours and your own team is running it, we stay on: monitoring what drifts, retraining what needs it, and building what comes next.
A system in production is a system that drifts. Data moves, the model that was right last quarter becomes merely adequate, and the research does not stop while you operate.
The people who built it stay on it. They decide which of the next problems is worth solving, and what this year's research means for a system designed last year. Ongoing support, not a maintenance contract.
- AI Engineer, specialist
- Full-Stack Developer, specialist
- Platform Engineer, specialist
- Product & Data Analyst, specialist
Keeping the startup alive, ahead, and growing.
Ready to build your AI capability?
We accept a limited number of research partnerships per quarter to ensure high-fidelity delivery.
Book a Discovery CallNot ready for a call? labs@whitehand.ai