Make the problem precise.
Define the outcome, operating conditions, constraints and contradiction. Agree what a better solution must accomplish before searching for one.
Your input
A shared engineering problem
What to build, before you commit to a direction.
KRAFT is a Physics-AI platform that sits upstream of CAD and simulation. It turns a problem, need or idea into IP-ready concepts with physics evidence and a clear next step, so your engineers get a stronger shortlist and leadership knows what to fund next.
Teams commit to a direction long before physics says whether it was right. By the time simulation says no, the cost is already spent. A team can execute brilliantly and still pursue a weak concept; once it becomes a CAD model, a simulation campaign and a prototype programme, changing direction means undoing funded work.
| The decision lens | A common engineering process | With KRAFT upstream |
|---|---|---|
| Search breadth | Starts with familiar mechanisms, experience and domain literature. | Expands the search through shared physics across engineering domains. |
| Physics and constraints | Checks depend on the team and are distributed across reviews and tools. | Brings applicable checks and assumptions into a consistent concept-development process. |
| Rejected alternatives | Reasons can remain in discussions, separate files or individual memory. | Retains the basis for progressing, reframing or rejecting a direction. |
| IP and investment | Technical, IP and funding arguments are often assembled separately. | Connects mechanism lineage, feasibility evidence and the next engineering commitment. |
KRAFT helps choose what enters detailed engineering. ANSYS, MATLAB, CATIA and your engineering team remain central to validating and developing the design.
Follow an engineering challenge from an open question to a decision your team can act on. Switch between two illustrative scenarios.
The goal is not simply “more cooling”. It is adequate thermal control inside a real package, with acceptable mass, pressure drop, power demand and manufacturability.
Illustrative engineering scenarios. Mechanisms shown are candidates for investigation; no measured performance, customer outcome or feasibility verdict is implied.
Deterministic registry matching has identified 3 candidate failure mechanisms.
Select the primary failure mechanism from the options above, or describe your own, to continue.
Four stages, three engines. Cross-domain discovery opens the search, systematic invention turns mechanisms into concepts, and engineering review decides what deserves the next commitment.
Define the outcome, operating conditions, constraints and contradiction. Agree what a better solution must accomplish before searching for one.
Connect your problem to mechanisms in other industries through governing principles, across a knowledge base covering 42+ industries. Bring relevant research, patents and requirements into context.
Apply 120+ named Think Models, including TRIZ, first principles and biomimicry, to develop alternatives around the contradiction rather than settle for the first plausible answer.
Review governing physics, constraints and trade-offs. Physics-constrained surrogate models screen candidate variations within their supported range, so detailed simulation goes where it matters. Retain why candidates progress, need more evidence or are rejected.
Coverage, models and screening scope depend on the engineering domain, available data and agreed project configuration. Passing a screening check never replaces detailed simulation, experiment or engineering review. Your engineers own the final judgment.
Engineering and IP teams evaluate KRAFT against real work. These engagements demonstrate evaluation and commitment; confidential programme outcomes are not presented as public performance claims.
Technical review and evaluation followed by a paid proof of concept.
Preliminary evaluation followed by a POC involving engineering and IP teams.
A live engineering problem being evaluated using KRAFT.
I found a cooling solution in biology I never would have looked for.Chief Engineer · Thermal Systems
An engineering direction has to satisfy the people who build it, fund it and defend it. KRAFT keeps one record, so each of them can examine the part they care about. Your engineers keep the final call.
Examine constraints, assumptions and mechanisms before committing scarce simulation and prototyping capacity. The final call stays with your engineers.
See alternatives beyond familiar domain literature, with a reasoned basis for choosing the next direction.
Trace how a concept emerged, with prior-art context and the reasoning behind it, so counsel reviews the same concept engineering developed.
See the next commitment, the alternatives considered and the evidence gate that decides whether to continue. The funding brief is just below.
Leadership needs to know what the next commitment will buy: confidence in a mechanism, evidence for an IP position, or a resolved engineering risk. KRAFT connects the concept to that decision.
Link the technical opportunity to the product outcome. Explain why this candidate deserves scarce engineering time, what alternatives were considered and which uncertainty the next stage must resolve.
Define the simulation, prototype or experiment, the resources needed and the acceptance criteria. Give the review team a clear basis to advance, reframe or stop.
Keep the mechanism’s provenance and inventive distinction attached to the technical work, so counsel and engineering examine the same concept rather than reconstructing separate stories.
Upstream R&D touches your most sensitive work. These are the questions security, legal and IP teams ask first.
Problem statements, constraints and internal documents are kept in your organisation’s own workspace and are not shared with other customers or used to train models shared with them.
Concepts developed from your challenge are yours. KRAFT retains the lineage record so your IP counsel can review how each concept emerged.
Hosting and access options are agreed during scoping, so your security and procurement teams can review them before any work begins.
KRAFT sits upstream of CAD and simulation and hands shortlisted concepts to ANSYS, MATLAB, CATIA and your own workflow, so your current process stays in place.
A general assistant is built to produce fluent text. KRAFT uses language models to read and structure your problem, but applicable physics checks and validation rules—not a language model—decide whether a concept progresses. Every concept keeps its sources, assumptions and the reasons it was kept or rejected, so your engineers can inspect and challenge it.
Your problem statements, constraints and documents are kept in your organisation’s own workspace and are not shared with other customers. Concepts developed from your challenge are yours, and KRAFT retains the lineage record for your IP counsel. Hosting and access options are agreed during scoping.
KRAFT works alongside them. It brings discovery, concept development and physics screening into one traceable process, then hands shortlisted candidates to ANSYS, MATLAB, CATIA and your own workflow. For some teams it also takes the place of external ideation or consulting work.
In the demo we work through one live problem of yours and show how KRAFT approaches it. If it is relevant, a separate conversation follows to scope a proof of concept: the problem, the evidence you would want to see and the decision gates. You define what would justify each step.
Simulation evaluates a design. KRAFT helps your team identify and challenge the directions that deserve detailed evaluation. It sits upstream of CAD, simulation and prototyping, helping you make better use of those tools.
KRAFT connects engineering problems through shared governing physics rather than relying only on industry labels or keywords. A heat-transfer problem in automotive can lead to relevant mechanisms in aerospace, energy or biomedical engineering. Transfer still needs to be evaluated against your application’s constraints.
A suitable surrogate can evaluate many candidate variations more cheaply than repeatedly running a high-fidelity simulation. Its value depends on the model, validation basis, data and operating range. KRAFT uses that screening to inform which candidates need detailed simulation, experiment or more evidence.
No. Passing an applicable check strengthens a concept within the conditions and fidelity of that check. Detailed simulation, experiments, safety assessment and engineering review may still be required. The decision record should make those boundaries explicit.
No. KRAFT supports invention development with concept lineage and prior-art context. Patentability, claim strategy and filing decisions require review by your qualified IP counsel.
It brings the chosen concept, technical rationale, IP context, unresolved risks and next validation gate into a decision brief. Leadership can examine what further engineering spend is intended to establish and what evidence would justify continuing. KRAFT supports the decision; your organisation approves the investment.
One engineering problem: the desired outcome, operating conditions, constraints and what your team has already tried. A plain-language description is enough to start the conversation. We will discuss the scope, relevant physics and what a useful first output would look like.
Start with an engineering challenge in KRAFT, or carry a direction from KURVE into solution development. Take validated concepts into commercial model exploration with KOMPOSE.
Decides what enters R&D. Reads patents, research and regulation by physics and surfaces the shifts worth committing to.
02 · Solution ↓KRAFTDecides how to solve it. Cross-domain discovery, systematic IP generation and physics-constrained validation.
03 · Market ↗KOMPOSETurns validated concepts into a business model your team can examine, compare and test.
A recurring failure. An unmet need. A market opening. A bold idea. Bring the starting point you have—we will work through the route to an IP-ready concept and the next engineering commitment.
Walk one live problem of yours through KRAFT and see what a useful output looks like.
After the demo, agree the scope, the evidence you want to see and the decision gates.
Run KRAFT on that problem. If it earns its place, extend to further programmes and teams.
Contact KREAT · KRAFT
Describe it in plain language. You do not need equations, CAD models or PLM integration to start.
What do you need?
What happens next
Tell us the engineering problem. In the demo we work through it and show how KRAFT approaches it.
The right person on the team will read it and reply. This is what you sent.