Use Cases

Where a dependency graph pays for itself.

Suyantra is most useful where one decision has many consequences and the trace between them is currently carried by memory. The scenarios below describe the shape of that work.

Power & conversion

Power supply design

A power tree is a chain of decisions where every node constrains the one above it. Input range sets component ratings; rail currents set conversion losses; losses set the thermal budget; the thermal budget sends you back to the parts. Suyantra holds that chain explicitly so the loop closes on paper rather than in the lab.

  • Rail-by-rail budget with current and power at each node
  • Rating and derating checks at the worst-case operating point
  • Blocked results where efficiency or θJA is not yet known
POWER TREE4 RAILS
Input protection18–36 VPass
Pre-regulator12 V / 3.2 AMargin
5 V rail15.0 WPass
Conversion lossUnknownBlocked
Industrial & embedded

Industrial control hardware

Wide input ranges, −40 °C to +85 °C ambients, long product lifetimes and a compliance burden. The cost of discovering a dependency late is measured in re-spins and re-tests, which makes explicit dependency tracking worth more here than almost anywhere.

  • Operating-envelope checks across the full ambient range
  • Lifecycle exposure tracked as a design constraint
  • Change impact computed before a re-spin is committed
ENVELOPE CHECKREQ-002
Ambient low−40 °CDerating
Ambient high+85 °CMargin
Input surgeNot statedOpen
Product teams

Small teams carrying a large design

When three or four engineers own an entire product, the dependency graph lives in conversation. People leave, context is lost, and the reason behind a decision becomes archaeology. Suyantra writes the reasoning down next to the decision, as the decision is made.

  • Decisions recorded with the evidence that produced them
  • Open questions tracked instead of remembered
  • New team members can read a design backwards
DECISION LOGWHY THIS PART?
Driven byREQ-002Stated
Chosen becauseRating marginVerified
Open riskLifecycle NRNDTracked
Design services

Design houses and contract engineering

When the design is handed over, the reasoning usually is not. A traceable record of requirements, assumptions, evidence and verdicts is a deliverable in its own right — and one that a client can audit without a call.

  • Assumptions declared explicitly at handover
  • Verification state readable by the receiving team
  • Change history retained against the design
HANDOVER PACKPRJ-4412
RequirementsCapturedComplete
Assumptions1 declaredAssumed
Open questions3Named
Review & governance

Design review boards

Review quality varies with who is in the room and how much time they had. A structured pass across disciplines — each finding with evidence, a recommended action and a stated confidence — gives the board a consistent starting point instead of a blank agenda.

  • Eight discipline perspectives applied consistently
  • Findings carry evidence, action and confidence
  • Review history retained and comparable across revisions
REVIEW PASS8 DISCIPLINES
Critical1 findingBlocking
Major3 findingsAction
Minor2 findingsNoted
These are scenarios, not case studies. They describe the kind of work Suyantra is designed for. We do not publish customer names, outcomes or metrics we cannot evidence.
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Does one of these look like your week?

If so, we would like to hear the specifics — including the parts where a copilot would not help.