Built on Model Context Protocol

AI, inside the EDA tools
you already use.

Wara connects AI agents directly to Altium, KiCad, and OrCAD via MCP — so engineers can review, validate, and organize their designs with AI, in the environment they already work in, under their own direction and review.

Altium
KiCad
OrCAD
MCP-native
PCB · MAIN

/01   THE GAP

AI has reshaped software. Hardwaredesign is still waiting.

Electronics engineers still depend on fragmented workflows: manual reviews, rule validation, component control, library management, and technical documentation — all of which slow the path from concept to a verified design.

In industries where development time is critical, these manual processes translate into longer design cycles, higher engineering costs, testing delays, and reduced capacity to innovate.

Design rule checking and schematic validation are still largely manual.

CASE 01

Component and library management eats engineering hours that should go to design work.

CASE 02

Technical documentation lags behind the design — and is often out of date the moment it's needed.

CASE 03

Peer-reviewed research has shown AI techniques can meaningfully accelerate complex chip-design tasks such as component placement — a signal of how much headroom exists for applying AI to electronic design workflows more broadly.

/02   HOW IT WORKS

A connective layer — not anew EDA suite to learn.

Built on MCP, Wara lets AI agents read the state of a design session and support concrete tasks — directly inside Altium, KiCad, OrCAD, and the tools engineers already rely on.

WARA · AGENT
F.01

Design rule review

Catch DRC violations as the design evolves, not after a manual pass.

F.02

Schematic validation

Flag inconsistencies and missing components before they reach review.

NET_A
F.03

Connection verification

Confirm nets and connections are complete and correct.

F.04

Library organization

Keep component libraries consistent and easy to navigate.

F.05

Documentation support

Draft and maintain technical docs alongside the design, not after it.

F.06

Repetitive task automation

Hand off mechanical review so engineers spend time on design judgment, not busywork.

The engineer makes the final call on every action. Wara reduces manual time and increases review capacity — it doesn't remove the engineer from the loop.

/03   WHO IT'S FOR

Built for teams shippingreal hardware, fast.

Wara sits alongside your existing EDA tools — the industries below are where teams feel the manual-workflow gap most.

SoC
USE CASE · 01

Semiconductors

Keep pace with increasingly complex, iterative design cycles.

RADAR.MOD
USE CASE · 02

Aerospace & defense

Reduce manual review time on systems where errors are costly and cycles are long.

MCULIDAR
USE CASE · 03

Autonomous vehicles & robotics

Manage the volume of hardware iteration fast-moving physical-AI teams require.

SIG.PATH
USE CASE · 04

Medical devices

Maintain rigorous documentation and traceability without slowing design down.

GPU0GPU1GPU2GPU3GPU4GPU5
USE CASE · 05

AI infrastructure hardware

Support teams building the physical systems AI itself depends on.

/04   WHY THIS APPROACH

Not a new EDA tool.
Not a black box.

Wara is a layer that brings AI to the tools you already use — and keeps you in control of every call.

Multi-platform by design

Wara connects to Altium, KiCad, and OrCAD through a common protocol (MCP) rather than locking teams into one proprietary tool.

Human-directed, always

Wara supports the process — it doesn't make final calls. Every review, validation, and automation runs under the engineer's direction and review.

AltiumKiCadOrCADCustomAgentReviewValidateDocsMCPwara.core
MCP · WARA.LAYERLIVE

/05   EARLY ACCESS

Be among the first hardware teams to use Wara.

We're onboarding a small group of teams to shape how Wara integrates with real engineering workflows.

LIMITED COHORT · 2026

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