What to Expect
At the end of a DeepProto engagement you will have concrete evidence to make the right call — build, refine, or move on.
Working Prototype
A functional agent workflow built and run against your real data, not synthetic examples
Run Logs & Results
Full output logs and evaluation results shared directly with your team
Findings Document
A clear written summary of outcomes measured against the agreed success criteria
Honest Recommendation
Straightforward guidance on whether and how to take the idea further
How It Works
A focused, time-boxed engagement designed to move fast without cutting corners.
01
Discovery
A scoped session with your team to define the prototype goals, success criteria, data sources, and any constraints. We leave with everything we need to build.
02
Prototype Build
DeepLens builds the agent workflow and runs it against your real data. We handle the tooling, infrastructure, and prompt engineering so your team does not need to.
03
Evaluation
Results are reviewed against the agreed success criteria. We look at output quality, reliability, cost, and any edge cases that surfaced during the run.
04
Findings & Recommendation
Run logs, results, and a clear written recommendation are delivered to your team. We walk through the findings together and answer any questions.
What's Included
Everything needed to run a meaningful prototype — without pulling your engineers off other work.
Time-boxed Scope
Fixed engagement with clear boundaries — no open-ended commitments
Real Data
Run against your actual data, not toy examples or synthetic substitutes
Framework Agnostic
We work with whatever LLM and tooling makes sense for your use case
Collaborative
Your team is involved throughout — we work alongside you, not in isolation
* Depending on the complexity of the project. Pricing is agreed through direct scoping discussion.