NEXT-GEN AI, SPECIALISED IN FINANCIAL MARKETS

Not trained to predict the next word.Trained to reconstruct the world.

Today’s AI was trained to predict the next word, and its intelligence is bounded by that training: it learned how the world is described, not how it works. Next-gen AI is trained to reconstruct the world, inferring each withheld piece from everything that surrounds it. Kenshin is next-gen AI, trained by that method on one subject: financial markets. Where today’s AI has read about markets, Kenshin has reconstructed them.

Kenshin is research, for people who want to understand companies and markets more deeply.

See how it’s trained
Kenshin iPhone app with the original dark Core, the question What are you looking into?, and a slim chat input.
iPhone app preview · in development
Sample Kenshin conversation examining a 20 percent stock-price decline and the underlying business.
Sample answer · fictional company · no live data

Start with
your question.

“Should I be worried?”
“Is this overvalued?”
“What am I missing?”

01

Ask Kenshin

Explore the business behind a stock, the assumptions in its price, and what could change the picture.

02

High Fliers

A closer look at ambitious opportunities: the case for the upside, the risks, and what would need to go right.

03

In the News

Put a headline in context. Understand the connections between an event, a company and the wider economy.

These are features of our working prototype. Its current answers and research articles are clearly labeled samples.

See beyond
the quoted price.

Read a company through the world around it. Compare the market with a dated view of its value. Explore what changes when the assumptions change.

Try the example below. All figures are illustrative; no live company analysis is being performed.

The research
keeps going.

Specialist AI agents investigate evidence, develop mathematical ideas and test explanations through computational experiments. Earlier discoveries return to the research, where they meet new information and ideas from other fields.

A connection found in one investigation can become the starting point for another. Findings are tested, combined and developed further—carrying understanding forward.

01 / LEARN WHAT IS HIDDEN

Reconstruct a company.

Hide a company’s figures. Learn to infer them from the surrounding economy. Reveal the answer and learn from the difference.

02 / EXPLORE WHAT COULD BE

Learn across worlds.

Bring historical records and synthetic economies into the same inquiry. Vary conditions, test explanations and examine where understanding carries over.

03 / BUILD ON DISCOVERY

Connect new ideas.

Evaluate emerging work in AI, mathematics and science. Connect it with earlier findings, adapt useful methods and test them against economic questions.

AI advances informing this perspective: Mathematical reasoning ↗Protein structure prediction ↗

Kenshin _THE RESEARCH WITHIN

The research
keeps going.

INVESTIGATING THE ECONOMYDrag to turn
Synthetic worldsConstruct · perturb · reconstruct
Real worldsCompanies · relationships · history
Mathematical synthesisEarlier ideas · new connections
Computational laboratoryCPU compute
Millions of simulated training examples
K E N S H I NA SHARED BODY OF RESEARCH
Specialist agents investigate companies, relationships and history, bringing evidence and open questions into the shared research.
Conceptual view of the research processIntelligence that keeps learning.

Earlier findings become the starting point for new understanding.

Conceptual animation of our research approach. It does not display live server activity.

RESEARCH IN ACTION · REAL FINANCIAL RECORDS

A few filings.
A fuller picture.

Patterns learned across company histories give a few new observations a much larger context. Explore how four selected financial readings reconstruct a wider picture—and see how that estimate compares with what companies reported.

Explore the reconstruction

Interactive historical research example · six quarters

Company blocks grouped into sectors, comparing reconstructed financial values with reported values.Read a few signals. Reconstruct. Compare with reality.
Sage and ivory moth with finely patterned wings and a few lime sensing marks.
Insect sensing · conceptual illustration

Inspired by insect sensing

Sense the change.

An insect can respond to a gust without forecasting its arrival. Kenshin’s research explores a related question: which economic signals matter, and what can they reveal about the wider system?

Learned relationships give a few observations a larger context.

The connection to Kenshin

Specialized intelligence
can go further.

Concentrating training and research on economics and finance creates possibilities beyond what a general-purpose model delivers on its own. Kenshin brings that sustained focus to the financial questions you want to explore.

COMING TO IPHONE

The frontier.
Closer to you.

We’re preparing Kenshin for its first iPhone beta.

A download invitation will appear here when testing opens. Android is planned.

In development