AI Labs is WNC's research arm. We turn frontier AI into autonomous agents, RAG pipelines and voice systems that run in production — the same engineering behind our own products.
The gap between an impressive demo and a system you can trust in production is where most AI work dies. We live in that gap.
Models that look great in a notebook but never survive contact with production traffic.
Without retrieval, evals and guardrails, AI output is impossible to trust at scale.
Prototypes stall when there are no engineers to ship, monitor and maintain them.
Every answer is grounded in your sources and cited — so your team can trust it. Here's the retrieval pipeline behind it.
| WNC AI Labs | Generic agency | Freelancers | New in-house hire | |
|---|---|---|---|---|
| Ships to production | ||||
| Owns cloud & AI infrastructure | ||||
| Has its own AI products in market | ||||
| Senior engineers, no handoffs | ||||
| Agents, RAG & voice expertise |
From the model layer to the product around it — one senior team, end to end.
Tool-using agents that plan, act and complete real workflows — not just chat.
Pipelines that ground models in your own data with citations and evals.
Speech recognition, speaker memory and natural text-to-speech, on-device or cloud.
Private, offline-capable models that keep sensitive data on your machines.
GPU inference, scaling and observability on AWS with NVIDIA acceleration.
We upskill your team through WNC Academy and hands-on advisory.
We don't just advise on AI — we ship and run our own products. That's where our engineering comes from.
The people who scope your project are the people who build it. No junior bench, no account-manager telephone game — direct access to the engineers shipping your system.
Most AI Labs projects reach production in 4–16 weeks, depending on scope. We start with a focused pilot, get it live, then iterate — rather than disappearing for months.
Both. We can design and ship the full system end-to-end, or work alongside your team as advisors and reviewers. Many clients start with advisory and move to build.
We design for it. Where privacy matters, we offer local-first and on-device options (the same approach behind our Sofi assistant), and we keep data inside your own cloud accounts.
We are model-agnostic. We default to the most capable models (including Claude) and run on AWS with NVIDIA acceleration, but we pick the right model and host for each workload.
Because we run our own products in production — Atflow, Base, AdCrier and more — we know what reliability, security and scale actually cost. You get that experience on your project.
Bring us a problem, not a spec. We'll scope a pilot and get something real into production.
