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PRANINNOVATIONSProduction Specialists

Work

What went in, and what it had to clear first

Each engagement with the constraint that shaped it, the thresholds it was held to, and what it did once it was running.

Measured, not claimed

1Mrequests

RAG requests served in our scale benchmark, with zero errors

See the validation report
02
p95 object-detection latency on a Cloud Run L4 GPU, across 5,000 images
13.05 ms
03
measured upper bound on marginal infrastructure cost per million RAG requests
$0.85
04
agent runs measuring tool-failure recovery across three models
219

Manufacturing · Vision

Surface defect inspection, decided at the camera

Final inspection was manual and sampled, so surface defects were being found by the customer rather than on the floor. We surveyed the cell, captured production across three shifts, and commissioned an edge vision station that inspects every part and drives the existing reject gate.

decision made at the camera, before the part leaves the cell
On-device

decision made at the camera, before the part leaves the cell

inspected, replacing sampled manual checks
Every part

inspected, replacing sampled manual checks

Read the case study

Construction · Vision

Zone and PPE monitoring across active construction sites

Site cameras were recording for insurance but nobody was watching them live. We added edge units behind the existing camera estate to flag exclusion-zone entries and missing PPE, and routed alerts to the supervisor on shift.

site cameras reused, no new hardware at the camera end
Existing

site cameras reused, no new hardware at the camera end

sites keep running when the uplink drops
Offline-safe

sites keep running when the uplink drops

Read the case study

Start with a call, then a costed plan

Thirty minutes on the problem, the site and the constraints. If it looks like a fit, the next step is a four-week AI Pilot at a fixed price, with acceptance criteria signed before any code is written.