Woyce
Hire the way that fits your stage — one embedded engineer, a full pod, or extra senior hands on your existing team.
A senior AI/LLM engineer embedded full-time in your team — your repo, your standups, your roadmap.
A delivery pod — tech lead plus engineers — that owns an AI product end-to-end, from architecture to launch.
Plug senior AI engineers into your existing team to clear a backlog or hit a deadline, scaling month to month.
30 minutes to understand your use case, existing stack, and what success looks like. No sales pitch — if we are not the right fit, we will tell you.
We review your requirements, identify integration points, and confirm scope. You get a clear picture of what will be built and what will not.
A written document with exact deliverables, timeline, and cost. No hourly billing surprises. You know the number before any code is written.
Weekly demos so you see progress throughout. You own the code from day one — no lock-in, no black boxes.
| Hire Woyce | Hire in-house | Hire a freelancer | |
|---|---|---|---|
| Time to first line of code | 1–2 weeks | 3–6 months | 1–3 weeks |
| AI / LLM expertise | Deep (daily) | Variable | Variable |
| Monthly cost | $5k–$15k | $15k–$25k | $3k–$10k |
| Ongoing support | Included | Yes | Extra / uncertain |
| Ramp-up time | Days | Months | Days–weeks |
| Accountability | Contract + SLA | Employment | Contract |
For companies that need AI built quickly without the overhead of a full-time hire, this model works because the expertise is already assembled. You are not waiting for someone to ramp up — you are plugging into a team that has shipped this before.
Most engagements start within 1–2 weeks. For staff augmentation we share matched senior profiles within 3–5 business days, and you interview before committing.
Yes. Our engineers provide 4+ hours of daily overlap with US (EST–PST) and UK working hours, with standups and reviews on your schedule.
All three. Staff augmentation is billed monthly per engineer, project pods can be fixed-scope, and there is no long lock-in — scale up or down month to month.
RAG systems, AI agents, chatbots, voice AI, and LLM integrations across GPT-4, Claude, and Gemini. We also handle fine-tuning and the full-stack apps around them, using LangChain, vector databases, and your existing stack.