Senior engineers, back at engineering.
Series-B deep-tech
01 · The problem
Senior engineers were spending most of their day on routine work — generating reports from simulation runs, coordinating cross-discipline reviews — not on actual engineering. Leadership had assumed AI did not apply to deep technical work.
02 · What we built
Multi-discipline design reviews — in minutes
Specialist agents on tap
A design has to clear multiple specialist reviews. Coordinating them used to take days. One engineer now queries specialist-perspective agents and clears the design in minutes.
2–3 hours → 5 minutes
Simulation post-processing
Turning simulation results into a usable report — extracting numbers, generating plots, building the deck — used to take 2–3 hours per run. Now: 5 minutes.
4–5 hours back, every day
A full day, reclaimed
One engineer had been spending 4 to 5 hours a day on simulation-automation work. That chunk collapsed. He is using the time to build more automation — the gain compounds.
With the founder's office and finance
Internal MIS, built live
A custom project-tracking and procurement system, stood up live alongside the founder's office and finance team — during the same week.
03 · How one workflow now runs
The system does not replace the simulation or the engineer. It removes the repeated work between a completed run and a usable report.
Run
The simulation finishes
The workflow starts with the result files the engineering team already produces.
- 01 The simulation finishes
The workflow starts with the result files the engineering team already produces.
- 02 The numbers are extracted
Required values are pulled from the run and structured for the report.
- 03 The plots are generated
The same reporting views are produced consistently, without rebuilding them by hand.
- 04 The review pack is assembled
Numbers, plots and supporting material arrive together as a usable report.
- 05 The engineer returns to engineering
Preparation is automated. Technical judgement stays with the engineer.
04 · Outcomes
“What I was actually doing till now was only 5% of what I can do now.”
What the team could carry forward
The most valuable people in a technical company spend most of their day on work they should not be doing. AI lets them spend it on judgement, design, and problem-framing — the things only they can do.