Who it's for / Industrial machinery

AI search for industrial machinery design history

Bespoke machines built over decades. When a component needs an upgrade, Parikalp surfaces the original design intent instead of a guess.

Where the knowledge gets lost.

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

  • Decades of custom designs

    Every machine is a little different, and the documentation spans generations of tools, formats and naming conventions.

  • Retrofits without the original reasoning

    Upgrading a component safely means knowing why it was designed that way, and that knowledge often left with the original engineer.

  • Legacy documentation in many formats

    DXF drawings, STEP exports, PDF reports and test records sit in folders organized by whoever set them up.

What teams use Parikalp for

  • Retrofit engineering. Find the original calculations, drawings and review notes before changing a component
  • Legacy documentation. Ask across old projects without knowing how each one was filed
  • Reusing proven designs. Find a similar machine or assembly you've built before, and the decisions behind it

Questions you could ask

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

  • Why does the gearbox on the 2009 press use that reduction ratio?
  • Which drawings and test records exist for the conveyor line we built in 2015?
  • Have we built a clamping fixture like this before?
  • What load was the lifting frame designed for, and where is the calculation?

Where your data lives

Parikalp reads from your existing drives and file servers 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.