AI feasibility, costed properly
Find out what your AI project actually takes — before you commit to it.
A guided technical discovery that produces a feasibility score, a recommended architecture, real GPU and infrastructure sizing, and an honest timeline and cost. It takes about ten minutes.
No credit card. The assessment and report are free.
Assessment report
Support-desk answer assistant
- Pattern
- RAG over internal documents
- Model
- Llama 3.1 8B Instruct (4-bit)
- GPU
- 2 x NVIDIA L4 24GB
- Timeline
- 9 weeks
One-time
$48,000
Monthly run
$2,140
- 6
- discovery areas
- 17
- structured questions
- 12
- service lines
- 13
- industry templates
How it works
Three steps, and you leave with numbers you can defend.
Answer a short interview
Six areas: what you want to build, where the data lives, what it integrates with, how fast and how often it runs, your security constraints and your budget.
Get a scored assessment
Feasibility, data readiness and a complexity/risk classification — each one shown with the factors that produced it, not just a number.
See the architecture and the bill
A recommended pattern, GPU and infrastructure sizing computed from your own numbers, a delivery timeline and both one-time and monthly cost.
The platform
What happens after the report.
Retrieval over your documents
PDF, DOCX, CSV and text, indexed per tenant with strict isolation and cited answers.
Model routing and fallback
Hosted APIs or self-hosted vLLM behind one interface, with per-request token and cost metering.
Delivery you can follow
Proposals, statements of work, milestones and projects generated from the assessment itself.
Approvals on anything costly
Sending a proposal or provisioning GPUs needs a second human. Nothing irreversible happens on its own.
Ready to scope your project?
Ten minutes of questions, and a report you can take to your board.