Shadowfax AI

Shadowfax is an AI native analytics platform for analysts who need defensible results without writing Python. A user connects data locally or in the cloud, outlines objectives, and iterates with an agent that turns requests into structured, repeatable analyses. The vendor positions it against spreadsheet copilots and ad hoc AI code generation, which it says are hard to trust in review. The design centers on auditability. Requests are translated into standardized, atomic and persistent data transformations in a graph framework, so every step can be inspected, validated and extended, even by stakeholders who do not code. The platform brings data preparation, logic, dynamic inputs, visualizations and apps into a single system and is built to surface assumptions rather than fail silently. Features such as interactive surfaces and a graph interface for understanding logic flow are marked as coming soon. It is aimed at business analysts, consultants, finance and strategy professionals and other heavy users of analysis. The product is in public beta. The Free plan costs $0 per month and includes core features, standard usage limits, basic data sources and standard rate limits. A Pro plan at $20 per month is listed as coming soon, with more usage, advanced data sources, priority email support and higher rate limits. Enterprise is custom priced and adds custom usage limits, dedicated support, SSO and SAML, advanced security and compliance, and regional data residency deployment.