AI that creates value, not just hype.
We build AI products and help organizations make better decisions about where, how, and when to use AI.
Three disciplines, one objective.
We build the technology, design the strategy, and do the research required to move AI from capability to measurable outcome.
AI products
Purpose-built AI products for high-value decisions, workflows, and knowledge work.
See our productsAI strategy & consulting
From identifying high-value AI opportunities to designing the operating model, technology architecture, and governance required to execute.
How we consultAI research & education
Research, executive workshops, and practical frameworks that help leaders understand the economic and organizational impact of AI.
Read the researchWe start with the problem, not the model.
Vector & Value AI begins with the economic problem, identifies the decisions that matter, designs the right AI–human system, and measures whether it actually creates value.
- Value
Where could AI create real economic or organizational value, not merely where it could be deployed.
- Decision
Which specific decisions, made by which people, actually determine that value.
- System
The AI–human system, workflow, and architecture built to support that decision well.
- Measurement
Whether the system, in production, actually created the value it was built for.
Products for decisions with a real cost.
Each product answers one expensive question: can we prove it, what will it cost, and will the reasoning hold up.
- Pramaan EUDR deforestation compliance for exporters: plot mapping, satellite checks, and buyer-ready due-diligence packages. Demo available
- Token Bench See what a prompt costs across every major AI model before you send it, counted in your browser. Live
- ReasonIQ Test whether an AI system’s reasoning holds up, not just whether its answer looks right. By conversation
Thinking beyond the AI demo.
Original research and writing on AI economics, decision-making, evaluation, governance, and workforce transformation.
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AI Evaluation
Early-Truncation and Information Leakage in Small Non-Reasoning-Tuned Language Models
SSRN, 2026
Research on where common evaluation shortcuts distort what we actually learn about a model’s reasoning.
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AI & Markets
The Anatomy of a Squeeze: An Agent-Based Model of Attention-Driven Herding in Meme Stocks
SSRN, 2026
An agent-based model of attention-driven herding, with implications for how AI systems observe and react to markets.
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AI Governance
Infrastructure or Regulation? State–Platform Bargaining over AI Localization
SSRN, 2026
State–platform bargaining over AI localization, and what it means for organizations deploying AI across jurisdictions.
Built for people who own the outcome.
Our work is built for the people accountable for whether AI investment actually pays off.
- CEOs & boards
- Business leaders
- Strategy teams
- Technology & AI leaders
- Investors
- Organizations building AI products
Have an AI problem worth solving?
Let’s identify where AI can create real economic and organizational value.