AntecanisAntecanis Inc.

Data analysis and AI implementation

Working backwards from business goals and strategic options, we analyze data, design algorithms and build mechanisms with AI inside — not analysis for its own sake, but changing decisions and operations.

What we are asked to do

Analyzing customer and sales data to design actions

We read the structure of customers and the movement of sales from the data at hand, and design actions and how to test them.

Prototyping work processes with AI built in

We build small mechanisms using generative AI, try them, and judge quickly whether they work.

Designing and evaluating algorithms

Recommendation, matching, forecasting — designed against business goals, including how to evaluate them.

Deciding where to start with AI tools

Within the AI tools available in your company, we sort out which tasks can be handed over first, and in what order.

Process and formats

  1. Goals and questions

    We decide which decisions and operations to change.

  2. Data and operations

    We check the available data, constraints and workflows.

  3. Prototype and test

    We build small and check effect and usability.

  4. Hand-over

    We shape it so your team or partners can run it.

Deliverables
Analysis reports; working prototypes (apps, notebooks); algorithm design documents
Approach
Starting from small tests of about two to six weeks
Environment
Designed to fit your security policies and the AI tools you can use
Who does the work
The representative director designs and builds the prototypes directly

Examples

  • Practice apps for the AI Strategy in Action ProjectDesigned and built apps such as a business design contest, where participants develop business ideas with AI against the voice of the market, and an AI strategy contest, where several AIs deliberate on and score strategy proposals
  • AI Strategy LibraryBuilt and runs automatically a system that reads world news every morning through the discussion points of past sessions
  • Data-driven startupsTook part in launching several startups that use data technology
  • Business × Science (2013)Texts explaining how to read data — position and groups, cause and effect — in a business context (Japanese)
AI Strategy in Action Project ↗AI Strategy Library ↗

Talk to us about this

Tell us, as far as you can, about the data you have and the decisions or work you want to change. We will propose a way to start small.

Contact usSpeaker bios in English and other materials →