Launching today

Sutra

Launching today

Engineering change on autopilot

61 followers

Engineering change on autopilot

61 followers

Manufacturing engineers spend hours pushing changes through PLM systems. Not engineering. Just hunting part numbers, checking BOMs, pulling cost data, and formatting ECRs. Sutra runs engineering change on autopilot. Describe the problem and Sutra makes the change decision, verifies parts, analyzes BOM impact, generates the change packet, and routes approvals automatically. What took hours now takes minutes.

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Launch tags:Hardware•Change Management•YC Application

Launch Team / Built With

Littlebird — The only full-context AI

The only full-context AI

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Maker

📌

I'm Hemant, Co-Founder of Sutra, also a design engineer at a $1.5B ARR equipment manufacturer. Until recently I was spending hours every day pushing simple part changes through spreadsheets, email threads, and PLM forms. Changing a bolt meant chasing 10+ sequential approvals, verifying parts manually, and restarting the whole process when one field was missing. Big company. Billion-dollar operation. Still running on spreadsheets and email. But what we learned quickly: the real problem isn't the form. It's the decision making. Every change requires gathering context from PLM, BOM structures, supplier data, and sales before anyone can even make the call. My co-founder and I built Sutra because I live this problem every day. We shipped the first version in under a month and ran it on a real CR at my actual job. Engineers on my team loved it! Sutra is the operational intelligence layer for engineering change. Describe the change and Sutra gathers context across your systems, verifies parts against live PLM, analyzes BOM impact, and generates a submission-ready packet automatically. No ripping out your existing tools. Works on top of the PLM/ERP setup you already have. Reach us at heysutra.com — we'll be in the comments all day. Ask us anything 🙌

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10h ago

Maker

Hey everyone, I'm Sam, co-founder on the technical side at Sutra.

When Hemant first showed me the problem, I couldn't believe this was still how it worked at billion-dollar manufacturers. The process is completely manual not because engineers are lazy, but because the data is everywhere. PLM, ERP, BOMs, supplier records all siloed, all requiring someone to manually bridge the gaps before a single decision can be made.

So we built the bridge.

Sutra's core is a context engine that reaches into your live systems, pulls the right data, and assembles it into something a human or an AI can actually act on. Getting that to work reliably on real PLM infrastructure, with real messy data, in under a month was the hardest and most satisfying thing I've built.

Change requests are the wedge. But the real opportunity is what happens when manufacturing data stops living in silos. Every change, every supplier flag, every BOM impact connected, readable, actionable.