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We build AI systems that do real engineering work

Products for simulation and engineering teams. Infrastructure for enterprises that need AI on their own terms. Custom agents for everything in between.

WHY CURLSCAPE

AI-native. Engineering-fluent. On your side of the table.

Most firms in this space are simulation consultancies adding a sprinkle of AI, or software resellers with an implementation arm. We're neither.

We're an AI engineering company that speaks simulation, CAD, PLM, and manufacturing natively. We train and deploy ML models, build data pipelines and scalable AI systems in production — and we understand boundary conditions, mesh quality, and why your BOM never matches your as-built. We don't resell software, so our only incentive is what works on your stack.

Engineering pedigree

Built by simulation engineers

Seven years inside ANSYS shaped how we build. We know where CAE workflows break because we lived them before we automated them.

IP ownership

Your data and IP stay yours

Runs on your infrastructure. Your geometry, BOMs, and field data never leave your environment, and you own the IP for everything the pipeline produces.

Verified results

We check our own work, and we show it

In our own propeller study, a verification agent caught a sign-convention error before it reached the report, and the winning design was cross-checked against a full CFD run. We would rather catch it than ship it.

Tool-agnostic

Works with the solvers you already trust

Fluent, STAR-CCM+, OpenFOAM, Icepak. We sit over your existing stack instead of asking you to rip it out and start again.

How we engage

From first problem to production, in clear steps

Every engagement starts small and fixed-price, so you can prove the approach before committing to a build. No open-ended retainers to start, no rip-and-replace.

  1. 01

    Discovery Sprint

    Fixed price · 2–4 weeks

    Our productized entry point. We scope your problem against your real data and systems, prove feasibility, and hand back a plan you can act on, with us or without us.

    Deliverable: a technical feasibility assessment, a working proof-of-concept on your data, and a costed build plan.

  2. 02

    Build

    Typically 8–16 weeks

    We design and build the production system on your infrastructure, validated against your solvers and data, with the source code, documentation, and knowledge transfer so your team can own it.

    Deliverable: a production-grade system, full source and docs, and your team trained to run it.

  3. 03

    Support retainer

    Ongoing, optional

    Once it's live, we keep it healthy: monitoring, accuracy checks against the underlying solvers, model updates, and new use cases as your team finds them.

    Deliverable: monitoring, drift and accuracy checks, and a standing line to the engineers who built it.

From a focused discovery sprint to a production-grade system. Every engagement is scoped and costed upfront: you know the number before you commit.

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