Who it's for / Automotive

AI search for automotive engineering knowledge

Vehicle platforms run for years and pass through hundreds of engineers. Parikalp turns that history into something you can ask, not something you dig through.

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Where the knowledge gets lost.

The files are usually somewhere. The reasoning behind them is what goes missing.

  • Platforms that span years

    Each variant builds on decisions made for the last one, often by engineers who have since moved to another program.

  • Supplier and material changes

    When a supplier or material changes, finding every affected part, analysis and test means searching several systems by hand.

  • Existing parts that get redrawn

    If a validated part can't be found by its name or number, it's often designed again from scratch, and validated again.

What teams use Parikalp for

  • Platform reuse. Find existing, validated designs and the tests behind them before starting a new part
  • Supplier change impact. See which parts, analyses and tests involve a given supplier or material, with the files to check
  • Onboarding. Engineers joining a platform mid-program can ask why things are the way they are

Questions you could ask

Examples of the questions Parikalp is built for. Each answer comes back with the source files linked.

  • Which brackets on the current platform use the old supplier's steel, and which tests covered them?
  • Why was the subframe mount moved on the 2024 variant?
  • Do we already have a validated bracket close to this one?
  • What failed in the 2022 suspension bracket fatigue test?

Where your data lives

Parikalp reads from your existing drives, CAD vaults and PLM exports and leaves the files where they are. It runs in our cloud or on local models inside your own infrastructure, and your data is never used to train shared models. Read the security overview for the details.

How it works

Parikalp connects to your drives, CAD vaults and PLM exports without moving anything. It reads STEP, IGES, STL and DXF geometry, FEA and CFD output, PDF reports, Markdown notes and CSV data, links parts, materials, tests and decisions into one knowledge graph, and answers plain-English questions with sources. It works alongside Fusion 360 today, with SolidWorks next. For the bigger picture, read our guide to engineering knowledge management.

Find out what your archive already knows.

We're onboarding engineering teams of 20 to 500 people for the closed beta. Start with a 30-minute call to map where your engineering data lives.

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