Bring Your Problem. Let’s Work Through the Physics.

01 / Problem areas

What you can bring

Applications are evaluated individually. These examples are not a promise that every problem can be supported.

• 01

  Scientific Computing

  PDEs, ODEs, inverse problems, parameter estimation, and scientific machine learning.

• 02

  Engineering Simulation

  CFD, heat transfer, structural and multiphysics problems, and simulation surrogates.

• 03

  Optimization and Design

  Design-space exploration, constrained optimization, sensitivity analysis, and reduced-order models.

• 04

  Digital Twins and Physical Systems

  Data-driven physical models, monitoring, forecasting, and model validation.

02 / Program benefits

What applicants receive

• 4–6 weeks of scoped technical collaboration.
• Initial problem diagnosis and formulation.
• A practical technical approach using appropriate PINNeAPPle capabilities.
• A baseline and measurable validation plan.
• A prototype, experiment, or technical deliverable appropriate to the agreed scope.
• A final technical summary, including limitations and recommended next steps.

Exact deliverables, schedule, infrastructure access, and responsibilities are agreed with each selected participant.

Compute, cloud GPU, third-party software, solver licenses, and other external expenses are not automatically included. Additional expenditure must be discussed and explicitly approved in advance.

Selection does not guarantee a successful technical outcome. Every engagement is exploratory research and engineering work, scoped and validated against agreed metrics.

03 / How it works

From application to delivery

1. 1

   Submit

   Describe your problem through the application form, using non-confidential information only.

2. 2

   Review

   Applications are screened for relevance, feasibility, data readiness, and validation potential.

3. 3

   Scope

   Selected applicants discuss objectives, available data, confidentiality, intellectual property, and deliverables.

4. 4

   Collaborate

   Work together for 4–6 weeks under an agreed scope.

5. 5

   Evaluate

   Review results, limitations, and possible next steps.

First-cohort calendar

Oct 29 – Nov 30, 2026

Applications open

Dec 1 – 7

Application review

Dec 8 – 12

Calls with shortlisted applicants

Dec 15

Three selected projects announced

Dec 15 – Jan 8, 2027

Scope, confidentiality and IP agreements

Jan 11, 2027

Projects start

By Jan 15, 2027

Guides sent to eligible non-selected applicants, subject to capacity

By Feb 19, 2027

Projects complete (4–6 weeks)

04 / Who should apply

A real problem. A measurable question.

For academia and industry: researchers, graduate students, laboratories, engineers, R&D teams, startups, and industrial teams willing to validate results.

• A clear physical or engineering problem.
• A baseline or current approach, if available.
• Relevant data, simulation outputs, governing equations, or physical constraints.
• A measurable success criterion.
• A realistic project scope and a contact who can make technical decisions.

You may apply without all these elements; make your current readiness clear in the form.

05 / Selection criteria

How applications are assessed

• C01

  Scientific or engineering relevance and potential impact

  20 / 100 points

• C02

  Feasibility within the 4–6 week window

  20 / 100 points

• C03

  Fit with PINNeAPPle and Physics AI methods

  20 / 100 points

• C04

  Availability and quality of data, simulations, or physical constraints

  15 / 100 points

• C05

  Measurable outcome validation

  15 / 100 points

• C06

  Potential for continued development

  10 / 100 points

The 100-point rubric supports consistent evaluation. Selection is competitive and is not guaranteed.

06 / The open-source base

Everything is public before you apply

PINNeAPPle is open-source Physics AI published under Apache-2.0: CFD, surrogates, verification and digital twins, with the measured error reported in every deliverable.

• PINNeAPPle Labs site ↗

  Products, use cases and the measured results behind each one.

• Documentation ↗

  Install guide, layered architecture and API reference.

• Use cases ↗

  Validations, each with its external reference.

• The library ↗

  Quickstart, modules and benchmarks.

• GitHub ↗

  Source code published under Apache-2.0.

• PyPI ↗

  Install the package with pip install pinneapple.

You can inspect the methods, the code and the published numbers at pinneapple-labs.github.io before submitting an application.

07 / Confidentiality & IP

Confidentiality, IP & publication

Applications and project-specific agreements are separate steps.

• Submitting an application does not transfer ownership of your intellectual property or create a consulting agreement.

• Do not include confidential technical materials or sensitive files in the initial application form.

• Confidentiality obligations will be established separately where appropriate, before sensitive information is shared.

• Intellectual-property ownership, licensing, use of existing code, and ownership of project-specific developments must be agreed individually before substantive work begins.

• Public case studies, testimonials, presentations, and promotional materials are optional and require separate authorization.

Full Program RulesPrivacy Policy

08 / FAQ

Questions