AI schematic generation · early access

Generate schematics grounded in your engineering context.

Turn requirements, selected parts, approved libraries, and team rules into a native schematic proposal your engineers can inspect, revise, and merge.

Requirements in · Native ECAD proposal out · Engineer reviews every change

PlanGeneratemotor_controller / power_stageDraft
INPUT CONTEXTpower-spec.mdapproved-parts.csvsymbols.kicad_symreference.schdesign-rules.yml
U1 GATE DRIVERQ1 MOSFETU2 CURRENT SENSEPROPOSED
Product interface conceptRepresentative workflow—not a recorded customer design or performance claim.

A controlled generation loop

From intent to native files without skipping engineering judgment.

01 / DEFINE

Describe the circuit

Requirements, interfaces, constraints, preferred parts, and what must remain unchanged.

02 / GROUND

Assemble context

Approved symbols, footprints, datasheets, reference designs, and team standards.

03 / PROPOSE

Generate native ECAD

A schematic proposal plus assumptions, checks, and an inspectable change set.

04 / REVIEW

Engineer decides

Revise, reject, or merge through the team’s existing design and version-control process.

High-value starting points

Start where structure is known and repetition is expensive.

Schematic generation is most valuable when the desired behavior and review boundary are explicit—not when AI is asked to improvise a product architecture.

ARCHITECTURE STARTER

Block-level first draft

Create a reviewable starting point from a defined system architecture and interface specification.

REPEATABLE CIRCUITS

Standard subcircuits

Generate power, sensing, protection, interface, and connector blocks using company conventions.

DESIGN CHANGE

Variants and migrations

Propose controlled changes for alternate configurations, library updates, or legacy migration.

What stays visible

The proposal includes its reasoning boundary.

  • Inputs used.
    Requirements, libraries, part sources, reference circuits, and team rules.
  • Assumptions made.
    Anything not explicitly resolved is called out for engineering review.
  • Changes proposed.
    Native-file diffs and checks fit the team’s existing review process.

Define where generation should—and should not—operate.

We’ll help shape the context, review gates, and first circuit family for your team.

Talk to us about your AI strategy