Real-world Model Context Protocol for Ai

Our  Model context protocol servers   connects AI agents with our underlying data assets consisting of over billions in  real-time, real-world transactions, allowing agents  to understand real-world behavioural context

AI for the Enterprise

Build Smarter AI. Contextual, Explainable, and Actionable

From token prediction to intelligent reasoning. Inject real-world context into your AI.

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Endless Use cases & features

Transform AI models into reasoning systems powered by real-world context.

Understand Real-World Behavioral Context

Transactional datasets offer ground-truth signals of what people actually do, not just what they say or search. By our  MCP, you give your  AI agents direct access to behavioral context (e.g. spending patterns, temporal routines, merchant categories)

Better  Decision-Making

Accuracy is improved because agents reason with real‐world behavioural signals rather than relying solely on historical or generic datasets. Adaptivity emerges because agents update their profiles and context in near real‑time.

Isolation from Economic Ecosystems

We provide an interface for agents to interact with market-relevant data streams, allowing them to, adjust in real time to shifting demand Detect anomalies (e.g. fraud, economic shocks)Integrate with human workflows (e.g., sales, finance, logistics)

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Powering Frontier AI

Outcomes delivered with world-class data

Seamless Intergration

Powering the next generation of Generative AI

MCP is a real-time context injection layer that transforms static AI models into dynamic, context-aware agents. By streaming transactional and behavioral data directly into the model’s reasoning loop, MCP enables LLMs and agentic systems to make decisions that reflect real-world signals, not outdated priors or pre-trained datasets, It’s how AI shifts from guessing to knowing, from hallucinating to aligning, from reactive to adaptive.

The future of your industry starts here

Get in touch to see how our MCP can power your next AI deployment