The central nervous system for hardware firms. Ingest CAD files, FEA reports, and design rationale. Retrieve anything — instantly — in plain English.
Every engineering decision leaves a trace. That trace is buried in a proprietary file format, on a drive three projects back, owned by an engineer who left in 2021.
Critical files live inside proprietary CAD tools, disconnected drives, and departmental folders with no common index. Finding anything requires knowing where to look — and most engineers don't.
When an engineer leaves, the reasoning behind a tolerance, a material choice, or a test failure disappears with them. Institutional memory walks out the door on its last day.
Highly-paid engineers spend hours manually combing directories. Every hour spent searching is an hour not spent on the problem they were actually hired to solve.
$ calculate --role="senior_engineer" --rate=180 --hours_lost=6
› Weekly cost per engineer: $1,080
› Team of 50 engineers / year: $2,808,000
› Source: manual knowledge retrieval overhead
$ █
No migration. No rip-and-replace. Parikalp sits on top of your existing infrastructure and makes all of it queryable.
Reads and parses every format your team produces — STEP, IGES, STL, DXF, FEA output, PDF reports, Markdown docs, directory trees.
Goes beyond keywords. Understands relationships between components, materials, simulation results, and design decisions. Context, not just documents.
Ask in plain English. "Why did we switch the chassis alloy in Q3 2022?" Parikalp returns the exact simulation report, design review notes, and the engineer's rationale.
Try the mock interface. Ask about a design decision, a material choice, or a simulation result. Parikalp will respond with simulated engineering data.
v1 prototype targets mid-market engineering teams — 20 to 500 engineers — in three verticals where design complexity and knowledge loss are most acute.
Simulation-heavy validation cycles and strict regulatory documentation create the deepest knowledge silos. Every tolerance has a story — Parikalp makes it findable.
Multi-year platform programs generate design history spanning hundreds of engineers. Parikalp turns accumulated knowledge into a queryable asset — not a burial ground.
Complex bespoke machinery built over decades. When a component needs upgrading, Parikalp surfaces the exact original design intent — not a guess from institutional folklore.
Design data is the most sensitive thing a hardware company owns. Parikalp is built so you choose exactly where it lives.
Individuals and teams run on our cloud-hosted models. Enterprise customers can run Parikalp entirely on locally-hosted models within their own infrastructure — for complete data isolation.
Your CAD files, simulation results, and design rationale stay inside your own deployment. They are never used to train shared models or exposed to other customers.
Every file and query is encrypted end-to-end. On enterprise on-prem deployments, nothing ever needs to cross your network boundary at all.
Control exactly who can query which projects, with a full audit trail of every search — so sensitive programs stay visible only to the people cleared to see them.
We spent years inside hardware companies watching institutional knowledge evaporate. Parikalp is the tool we wished existed.
Drives the architectural vision and product logic, seamlessly integrating mechanical first principles into AI-driven deployment models. Driven by a love for robotics, aerospace, and mechatronics.
Bridges high-level software engineering with complex CAD data structures, ensuring robust and automated product infrastructure. Former Google Intern; Finalist at the Eyantra Robotics Competition.
Brings years of academic rigor, guiding the mathematical logic and research-driven feature development for complex engineering workflows.
The things engineering leaders ask us most before they request access.
Parikalp is built as a middleware layer that sits across your existing CAD and design tools rather than a proprietary kernel. Fusion 360 is live today, SolidWorks is next, and the ingestion pipeline is built to extend to whatever formats your team standardizes on.
No. Parikalp doesn't touch modeling — it runs alongside SolidWorks, Fusion 360, and your PLM system, indexing files, simulation results, and design-change history so any of it can be found and queried in plain English.
Yes. Individual and team plans run on our cloud-hosted models. Enterprise customers can deploy Parikalp on locally-hosted models inside their own infrastructure for complete data isolation — see the Security section above.
It depends on the size and structure of your archive. We scope ingestion together during onboarding and prioritize the projects your team searches for most, rather than requiring a full migration up front.
Pricing depends on team size and deployment model (cloud vs. enterprise on-prem). Request access below and we'll put together a plan for your team.
We're onboarding a small group of engineering teams for the closed beta. If your company is spending real engineering hours on knowledge retrieval, we want to talk.
No commitment. Response within 48 hours.
"The question isn't whether your engineering knowledge is valuable. It's whether you can find it when you need it."
Reach out directly — every message goes straight to the founder, not a queue.
We'll reach out within 48 hours. Keep an eye on your work inbox.
