When you need a PoC
You have an AI idea but no proof it survives your data
Vendor demos and public benchmarks never look like production. A PoC runs on your real files â PDFs, calls, tickets, drawings, whatever you actually handle.
Off-the-shelf tools failed on your real workflow
They worked in the sales call and broke on day three. A PoC tells you whether custom is worth it, and what custom would actually cost.
Your data is messy, fragmented, or one of a kind
Custom workflows mean custom risk. Better to find the edge cases in six weeks than six months into an MVP.
Internal stakeholders need proof before they sign the MVP budget
Hard to greenlight a six-figure build off a slide. A working prototype on real data turns the conversation from "if" to "how big."
How it works
Discovery call
30 minutes on your workflow, your data, and the outcome you're trying to move.
Technical review
We process a sample of your real data and send back what AI sees in it.
PoC build
Annotation, model selection, training, validation. You leave with a working prototype, accuracy numbers, and a scoped plan for what comes next.
Engagements that fit the stage you're in
Discovery call
A clear yes/no on whether the PoC is worth running, and what it would look like if it is.
Ideal for:
- A live business ready to invest in AI
- Non-technical founders or executives who need tech validation
- Teams scoping vendors and budgets before they commit
PoC Package
A working prototype trained on your data, validated against your real workflow.
Ideal for:
- You want AI in production but need proof it works on your data
- You need a working prototype to greenlight the MVP budget
- Off-the-shelf tools didn't fit your workflow
- You're comparing vendors and want apples-to-apples on real files
Deliverables:
- Working prototype on your data
- Accuracy and cost numbers
- Architecture diagram
- MVP scope and budget you can use with any team
Book your discovery call
30 minutes on your workflow and your data. We'll tell you whether a PoC is the right next step.