Engineering
Intelligence for Hardware.
An AI copilot that helps hardware engineers turn requirements into verified engineering decisions — with the evidence, the assumptions and the dependencies made explicit.
Hardware decisions are deeply connected.
A change to one parameter 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 lives in an engineer’s head, a spreadsheet, or nowhere at all.
The knowledge is scattered
Datasheets, application notes, spreadsheets, review comments and tribal knowledge. The reasoning behind a decision is rarely written down next to the decision itself.
The dependencies are implicit
Nothing in a schematic records that this capacitor was chosen because of that input range — so when the input range moves, the capacitor is easy to miss.
The assumptions go unrecorded
Most designs rest on assumptions — airflow, duty cycle, ambient, switching frequency. Unrecorded, they become surprises during qualification.
One copilot across the hardware lifecycle.
Suyantra works on one connected model of your design. Each stage writes into it, and every downstream stage can see what it depends on. Select a stage to see what the copilot does there.
Requirements Intelligence
A requirement, taken apart properly.
This is the Suyantra AI Copilot working on a 24 V industrial controller. Note what it does not do: it does not produce a number it cannot support, and it does not hide the questions it still has.
60 V exceeds stated operating maximum 36 V. Margin 24 V.
Verified
3.5 A against computed node current 3.2 A at worst-case input. Margin 9.4 %.
Verified
18–36 V input range.
Verified
θJA for the intended copper area. Requires confirmation before sign-off.
Assumed
fsw.
Missing input
Not just answers. Engineering reasoning.
A verdict without its reasoning is just an opinion with a colour. Every Suyantra decision exposes the chain that produced it — the requirement, the candidate, the datasheet evidence, the rule that was applied, and the result.
Operating input range 18–36 V, ambient to +85 °C, pre-regulator node current 3.2 A.
CAND-A — synchronous buck, 60 V absolute maximum input, 3.5 A rated output.
Absolute maximum ratings and electrical characteristics, cited to the datasheet section they came from.
Rating check with derating policy; thermal check requires θJA and dissipated power.
Ratings pass. Thermal not established — one input missing.
The candidate’s absolute maximum input rating of 60 V covers the stated 36 V operating maximum with 24 V of headroom, leaving room for the input transient allowance once that profile is supplied.
For the alternative candidate evaluated at +85 °C ambient under natural convection, the computed junction temperature exceeds the part’s rated maximum before derating is applied. The assumption that drove this result — natural convection — is declared, so it can be challenged rather than inherited.
Change one decision. Understand the impact.
Because every decision is recorded with what it depends on, a change produces an impact set rather than an afternoon of tracing. Switch the input rail below and watch the graph resolve.
An engineering review board that never gets tired.
Suyantra reviews a design the way a review board does — one discipline at a time, each with its own concerns. Findings arrive with severity, evidence, a recommended action and a stated confidence.
Thermal margin at the pre-regulator is not established
The junction temperature at +85 °C ambient cannot be bounded with the information currently in the design. This is an open question, not a failure — but it blocks sign-off.
Conducted emissions cannot be pre-screened
The pre-check depends on switching frequency and ripple, both unresolved. The check is queued behind its dependency rather than run against assumed values.
Candidate rating violation on the alternative pre-regulator
A 40 V absolute maximum input rating does not cover the stated 36 V operating maximum with any transient allowance. This is a hard rating check, evaluated deterministically.
Two BOM lines have no second source
Single-sourced lines are a schedule risk rather than an electrical one, but they are design decisions and are tracked in the same graph.
Bulk capacitor derating not confirmed at −40 °C
Electrolytic ESR rises substantially at the low end of the stated ambient range. The design does not yet record which capacitor technology is intended.
Power-up sequencing between 3.3 V and 5 V is unspecified
Several device families constrain rail ordering. No sequencing requirement is recorded, so no check can be run.
No analog supply separation recorded
If the controller carries analog acquisition, the 3.3 V rail may need filtering or a separate regulator. The requirement set does not say either way.
Three open inputs block a defensible sign-off
Taken together, the missing switching frequency, thermal resistance and transient profile mean the power stage cannot be signed off yet. The design is not wrong — it is incomplete, and the gaps are named.
Built for engineers who need to know why.
Suyantra is not a language model with an engineering vocabulary. It is a reasoning layer that is required to show its work, bounded by deterministic checks and a dependency graph that remembers what depends on what.
Evidence-based decisions
Every verdict names the parameter, the source it came from, and the rule that was applied to it.
Explicit assumptions
Where the product has to assume, it says so, records it as an assumption, and lets you overturn it.
Traceable reasoning
Decisions can be read backwards. You can always ask why a value is what it is and get a chain, not a paragraph.
Dependency awareness
The graph records what each decision rests on, so a change produces a precise impact set instead of a warning.
No silent assumptions
A check with a missing input returns blocked. The product will not invent a value to complete a calculation.
Engineering change tracking
Changes are first-class objects with an impact set, an invalidation list and a history you can review later.
Build hardware with an engineering copilot.
If you are designing electronics and carrying the dependency graph in your head, we would like to hear how you work today.