Discovery
We map the workflow, the bottlenecks, and the data — usually in a single 90-minute working session. You leave with a written plan and a fixed quote, even if you don't hire us.
Custom automation development and local AI for small and medium businesses. The companies deploying this today compound for years. The ones still "figuring it out" pay double next quarter — for half the result.
The SMBs that internalize these now will outrun the ones that don't. Quietly. Permanently. The math has already changed — most owners just haven't felt it yet.
The question stopped being whether. It's how fast — and who builds yours. The shops still running on spreadsheets and inboxes in 18 months will be the ones being acquired, not acquiring.
The data you can't send to a third party — patient files, contracts, financials, customer records — is the data most worth running models on. On-premise inference is a moat. SaaS LLMs are a leak.
Six months ahead of your competitor on automation is a permanent advantage. Their CAC drops, their margin expands, their reps do the work of three. By the time you start, the cost to catch up has tripled — and the gap still widens.
A four-step engagement. Two to six weeks, end to end. You own everything we ship — code, models, weights, infrastructure, runbook.
We map the workflow, the bottlenecks, and the data — usually in a single 90-minute working session. You leave with a written plan and a fixed quote, even if you don't hire us.
We prototype on your real data, in your real systems. Daily Loom updates. You see the build come alive — no month-long radio silence followed by a "reveal" that misses the mark.
Containerized, monitored, and pushed into your production environment — cloud or on-prem. We hand over the keys, the docs, and the repo. Not a login to our dashboard.
A monthly retainer that keeps your stack tuned, monitored, and evolving — included with every engagement. We patch what breaks, optimize what's slow, and ship the next automation when you're ready. Your systems don't sit still. Neither do we.
Short answers. The longer ones happen on the call.
Waiting doesn't change the math — it just pushes your deployment out. Discovery to live is two to six weeks regardless of when you start, so a six-month wait means six extra months running the old way. Starting now is always the move.
Cloud is cheaper and faster to deploy — that's the default. If your data is sensitive (regulated, proprietary, customer-identifying), local is also an option. We pick per package, not per company.
Two to six weeks for the average build. Discovery in days. Build in weeks. Deploy when it actually works — not when the contract says it should. Most packages are live before the second invoice cycle.
Yes. Full repo, full deployment, full credentials, full model weights where applicable. We hand the keys over on day one of deploy. We don't lock you into a platform we charge rent on — that's the model we're trying to put out of business.
Most engagements land between $8k and $40k depending on scope and whether the deploy is cloud, hybrid, or fully on-prem. We give a fixed quote in writing after Discovery — no hourly surprises, no scope creep tax.
Every build ships with logging, alerting, and a runbook. Your monthly maintenance retainer covers on-call response — most issues get patched before you notice. Production-grade should mean production-grade.
Book a 30-minute discovery call. Bring the bottleneck — leave with a fixed quote and a 2-week kickoff date.