Gradigo
A GRE/GMAT/TOEFL platform on the web and both app stores, where item difficulty and learner ability are estimated with item response theory rather than assigned by hand.
- Education
- Psychometrics
- Item Response Theory
- Mobile
Advanced technology, built into products and businesses.
We combine AI, simulation, software and data to turn a problem or an idea into a product and a business that runs.
From shaping the idea through validation, development and live operation.
WHAT WE WORK ON
From shaping the business to building the product.
You do not need to know what to build. A problem, or just the data, is enough.
Put AI inside the business
Into the real work and the real product, not into a demo.
Make something out of the data
Your data and expertise, turned into decisions and products.
Build a new product
Concept to build, carried by one team.
Simulate the physical world
Physical simulation, digital twins, 3D environments — the real world, checked first.
Redesign complicated work
AI and software as given, and the structure of the work rebuilt.
Work out what to build
Framing the problem, choosing the technology, shaping the business.
PROCESS
From working it out to putting it in service.
No long specification first. The assumption that matters most, tested against a working thing.
- 01
Understand the problem
Who uses it, what is going wrong, and what would have to change for it to be worth anything. We do not move on while that is vague.
- 02
Design the system
The product, the working practice and the shape of the business. Which technology to use follows from that.
- 03
Build it
We build the assumption that matters most. A document is not the deliverable.
- 04
Validate it
Tested against real data in the real environment. A result that goes against us reaches you as it is.
- 05
Put it into service
Not stopping at a proof of concept. Built so it keeps running once it is in service.
TECHNOLOGY
We combine whatever the problem needs.
- Generative AI
- AI agents
- Multimodal AI
- Machine learning
- Domain-specific models
- Model evaluation
- Data engineering
- Knowledge systems
- Search
- Analytics
- Optimization
- Physical simulation
- Digital twin
- 3D simulation
- NVIDIA Omniverse
- Synthetic data
- Web applications
- Mobile applications
- Cloud systems
- APIs
- Realtime systems
- Product design
- Technology strategy
- Business design
- Validation
- Research
SELECTED WORK
Implementation examples
Shipped, and in use. The ones we can show publicly.
CarbCut
A platform for the Joint Crediting Mechanism that drafts project documentation and validates it against the official rule set for the specific partner country, flagging what a change upstream breaks downstream.
- Decarbonization
- Regulatory documents
- Document generation
- Compliance checking
TPN ナビ
A calculation tool for neonatal parenteral nutrition that turns target doses into drawable volumes of real Japanese IV products, and displays every input and formula so the result can be independently verified.
- Healthcare
- Neonatal intensive care
- Clinical decision support
- Constraint solving
We work with companies across industries.
Alongside our own products, we run joint projects with companies.
- Energy
- Retail
- Manufacturing
- Robotics
- Care and healthcare
No fixed offering for an industry. We build for the data, the expertise and the working practice in front of us.
Turning a company's knowledge and data into something that works.
Every company holds data, expertise and hard-won practical experience that nobody else has.
We combine that with AI, software and simulation, and build it with you.
Not an off-the-shelf tool. The thing only this company could have built.
How we work
Start from a real problem
Solve the problem, not use the technology.
Work across fields
Whichever disciplines the problem needs, on the same problem.
Check it against the real thing
Build the thing that runs, then test it.
You do not need to know what to build yet.
A problem, some data or an idea is enough. We start from deciding what to build.