How Parallel helped Kepler build AI that finance professionals can actually trust

Kepler is developing an AI-driven platform designed for work where accuracy is crucial, launching with Kepler Finance to aid investment professionals in analyzing public companies with precision and speed. Unlike typical AI systems, Kepler's architecture combines AI's capacity to understand complex, open-ended questions with a deterministic infrastructure that ensures reliability and auditability by separating the AI layer, which interprets questions, from the layer that retrieves precise financial data. This architecture, leveraging Parallel's Search API for comprehensive discovery, allows for efficient landscape and sector-level analysis, covering over 950,000 SEC filings and 14,000 companies across 27 global markets, and supports analysts in identifying key players and mapping supply chains without relying on curated datasets. The integration of Parallel's real-time, open-web discovery API into Kepler's deterministic pipeline enables the system to dynamically generate structured insights, eliminating manual data extraction and expanding its applicability beyond finance to fields such as legal research and healthcare analysis, where verifiable information is critical.

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