Engineering
Intelligence for Hardware.
An AI copilot for hardware engineers — helping engineers turn requirements into verified engineering decisions.
Hardware decisions are deeply connected.
In electronics development, a change to one decision rarely stays local. It moves through the power architecture, the component ratings, the board, the firmware, the thermal budget and the compliance story — and most of that propagation is carried in an engineer's head rather than written down.
Suyantra is being built to help hardware engineers reason through those connected decisions.
The knowledge is scattered
Datasheets, application notes, spreadsheets and review comments. The reasoning behind a decision is rarely recorded next to the decision itself.
The dependencies are implicit
Nothing in a schematic records why a part was chosen — so when the requirement that drove it moves, the consequence is easy to miss.
The assumptions go unrecorded
Most designs rest on assumptions about operating conditions. Unrecorded, they become surprises late in the programme.
An AI copilot for hardware engineers.
Suyantra AI Copilot sits alongside the engineer across the electronics development lifecycle. It is built to help you think through connected decisions — and to be clear about what it knows, what it had to assume, and what it cannot tell you yet.
Requirements
Read a requirement set and surface what is missing, ambiguous or in conflict — before it becomes a design decision.
Architecture
Explore candidate approaches with the engineering trade-off each one makes stated plainly, rather than a single recommendation.
Component selection
Assess candidate parts against your actual operating conditions, not against a parametric search filter.
Design checks
Check a design against ratings, margins and budgets, and say which questions remain open instead of filling the gaps silently.
BOM & sourcing
Treat lifecycle status and sourcing exposure as engineering constraints rather than procurement afterthoughts.
Design review
Work through a design the way a review board does — one engineering discipline at a time, consistently, every revision.
Hardware and electronics engineers, engineering leads responsible for review quality, and teams where one person carries more of the design than they can reasonably hold in their head.
The copilot does not replace simulation, qualification testing or engineering sign-off. It is built to make an engineer faster and better informed, and to leave every decision with them.
In active development. We are working with early engineering partners to shape it. Capability, availability and scope are all still moving — we would rather tell you what is not ready than imply it is.
Hardware ships against standards.
Electronics does not get signed off on performance alone. Safety, EMC, assembly, qualification and materials compliance all sit in the path between a working prototype and a shippable product. This is the context our users work in, and the context we are building for.
Suyantra is intended to support engineering judgement, not replace it. Every design decision remains subject to review, simulation, qualification and sign-off by a responsible engineer.
Listing a standard above describes the engineering context our users design in. It is not a claim that Suyantra implements, interprets or certifies against it. Suyantra performs no conformity assessment, testing or certification, and support for any given standard is in development.
Hardware design data is commercially sensitive. How project data is stored, segregated and retained is a first-order requirement in this category, and we are defining it alongside early partners. If your organisation has specific requirements, raise them with us directly.
Component names, manufacturer names and datasheet references, where used, belong to their respective owners and appear for technical identification only. No endorsement, affiliation or partnership is implied.
We publish no customer names, logos, testimonials, benchmarks or certifications that we cannot evidence. Where information is not available, we omit it rather than estimate it.
Small team. Unusually specific problems.
This product sits at an awkward and interesting intersection: hardware engineering knowledge, applied AI, and the discipline to keep the two apart where it matters. If that is your intersection, we would like to talk — whether or not a role is posted.
Hardware engineering
Power, analog, digital, EMC or systems experience — engineers who have shipped real boards and debugged them in the lab.
Experience that is useful to usApplied AI
Retrieval, evaluation, and the unglamorous work of making a model's output something an engineer can check.
Experience that is useful to usProduct engineering
Dense, technical interfaces built for people who read tables faster than they read paragraphs.
Experience that is useful to usSpecific openings will be listed here when they exist. The areas above describe the kind of experience that is useful to us today. We would rather leave this honest than advertise roles we have not defined.
Use the contact page and tell us what you have built. Speculative notes are genuinely welcome.
We assess people on their work and their reasoning. We do not discriminate on any protected characteristic, and we will make reasonable adjustments to our process on request.
Early conversations welcome.
If you design electronics and this sounds like your week, we would like to hear how your team works today.