Gradigo
A GRE/GMAT/TOEFL learning platform for web, iOS and Android that estimates item difficulty and learner ability with item response theory.
Open the productCapabilities & Applications
AI, simulation, product engineering. We take it past the experiment, to something used in the daily work.
Put AI and data into the work
We take the data a company has piled up and the judgement its people carry, put both in order, and build them into daily work, decisions and commercial products.
Simulate the physical world
Some things are expensive to try for real, and some are dangerous. We rebuild those inside a computer and use it to design, to check and to decide.
Build and operate products
We release products that get used every day, then keep them running and keep improving them. Every design decision is written down, so the work can be handed over at any time.
Work out what to build
You do not need a finished specification to start. We work out with you what solving this would be worth, and turn it into a plan that can be built.
PROCESS
From the idea to live operation
- 01
Step 1: Define the problem and success criteria
First we settle who will use it and what change would count as success. Then we design the system and the way the work runs day to day.
- 02
Step 2: Build and validate it
We build the riskiest assumption first, try it with real data where the work happens, and change it from what comes back.
- 03
Step 3: Put it into service and improve it
Once it is live we keep watching the system and its data. We catch faults and changes around it ourselves, and decide what to fix next from how it is actually used.
STRENGTH
To production, ten times faster.
Ten days from kick-off to production. That speed comes from product vision, AI-driven development, integrated technical depth and execution.
Exceptional product vision
We do more than turn requested features into software. We work out from first principles whose problem the product solves, what value it delivers and what will make it worth continuing to use, across both business and technology.
AI-driven development at the frontier
AI is not confined to one code-generation step. We have redesigned the whole of development around it—from planning, research and design through implementation, validation and operation—so people can focus on vision and decisions.
Integrated technical depth across disciplines
We do not treat AI, simulation, software, data and scientific knowledge as separate practices. We select and combine what the problem requires, then make it work as one product.
Execution that turns ideas into reality
A proposal or prototype is not the finish. We carry the idea through to a product that people use, that creates value and that can keep evolving as its environment changes.
IMPLEMENTATIONS
Implementation examples
We turn concepts into working products.
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.
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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.
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