Turn Your Structured Data into a Live Agentic Data Platform.

For example, the word 'visibility' could refer to content readership for a marketing team but financial runway for a finance team- same term, completely different business meaning.

WALT analyzes your enterprise's structured data and supporting systems, building a vocabulary map that he continuously evolves as users define new business concepts.

Modern enterprise data architectures introduce new complexity. As pipelines become more distributed, tracking lineage grows exponentially harder. Teams end up with revenue, revenue_final, revenue_corrected—unsure which metric is correct.

WALT works like a data engineer: introspecting data, mapping relationships, analyzing sources from Tableau to Datahub, and building lineage graphs for accurate inference. He integrates with MDM, governance tools, BI dashboards, and data catalogs to leverage existing investments.

Every business defines metrics differently. If you've invested in data catalogs or governance tools, WALT leverages them with bidirectional access. If not, he creates the initial framework for your data steward to approve. All KPIs are stored centrally in human-readable format, enabling natural language interaction to distinguish between accurate definitions and hallucinations.

Every time your CEO asks 'What's driving our margin compression this quarter?'—do you want an LLM writing brand new SQL? LLMs' stochastic nature produces enough variation that data engineering teams can't deploy these projects reliably in production environments.

We don't use LLMs for SQL generation. Our Stable Logic Models™ ensure identical questions produce identical answers every time, with continuous evaluation and improvement.

No need to prompt an LLM to produce the right syntax. Our models are pre-trained in all major data warehouses and lake houses.

The entire ReasonBase is available as an MCP with a collection of tools you can build on, or choose our fully integrated solution for instant natural language insights.

Every day (and every night), WALT works behind the scenes, evaluating every answer he's given, identifying potential improvements, and strengthening your ReasonBase. He proactively validates each of his responses against your business logic, ensuring rock-solid accuracy across your entire enterprise.

Trained and benchmarked on dozens of public repositories and datasets, WALT has learned to build data reasoning layers that perfectly match existing dashboards and KPIs. His mission: ensuring every question from your organization is answered with an unshakeable contextual foundation that continuously evolves with your data landscape.