Sphinx AI - enforcing data accuracy across AI tools

Sphinx AI helps enterprises improve the accuracy, reliability, and governance of AI systems working with data.

Frontier models make general intelligence widely available, but enterprise AI requires specialized business knowledge to understand how an organization defines, uses, and reasons about its data. This knowledge often lives in employees' heads or is fragmented across dashboards, code, presentations, documentation, analyses, notes, and other work products.

Manually capturing this context is time consuming and expensive for subject matter experts. Keeping it accurate and up to date as the business evolves creates an ongoing operational burden.

Sphinx solves this problem by automatically learning, structuring, and maintaining an enterprise knowledge layer from the work products teams already create. Our platform captures institutional knowledge, identifies changes and inconsistencies, and continuously updates the context used by AI systems.

This knowledge can be made available to any agent, model, application, or AI tool, helping organizations avoid vendor lock in, remain flexible as their AI stack evolves, and benefit from future improvements in model accuracy and cost without recreating their knowledge each time. Sphinx acts as a consistent, governed knowledge layer across an evolving AI stack.

Because enterprise knowledge is a critical business asset, Sphinx provides the controls required to manage it responsibly. Teams can review and approve changes, track knowledge lineage and version history, enforce role based access controls, and keep humans in the loop for key decisions.

Sphinx works with data teams across industries, including financial services and consumer packaged goods, to improve the accuracy, auditability, and return on investment of AI systems using internal data.

-Enable business teams to self serve complex analysis on data.
-Automate analytical workflows that previously required data scientists.
-Help operations teams solve supply chain and planning problems.
-Improve the accuracy and consistency of internal AI assistants.
-Deploy autonomous data agents that require less manual prompting and supervision.

By automating the capture and maintenance of institutional knowledge, Sphinx can save even relatively small data teams thousands of hours of manual work each year.

Sphinx sits on top of your existing technology stack and connects to the databases, warehouses, and data tools your teams already use. Sphinx is SOC 2 Type 2 compliant and follows a strict zero data retention policy. Raw customer data is not retained or used to train models.