Kepler is a financial planning and reporting platform that combines AI-driven insights with rigorous evaluation frameworks to deliver accurate forecasting and variance analysis. The platform addresses a critical gap in AI adoption for accounting by prioritizing trust through deterministic accuracy, auditability, and traceability—essential for finance professionals who require verifiable results alongside intelligent automation.
Recent News & Trends
Novel evaluation framework: Kepler developed a double-entry assessment method combining code-based metrics with LLM evaluation to grade accounting task quality, extracting maximum value from disagreements between evaluation approaches (The Yardstick Problem, 2026-05-20)
Integration with Parallel infrastructure: Kepler leverages Parallel's Search API to ground natural language understanding in deterministic accuracy and auditability, directly addressing trust concerns that hinder AI adoption in financial work (2026-05-13, 2026-03-17)
Focus on numerical accuracy: Kepler emphasizes that while LLMs excel at summarization, financial work demands grounding, traceability, and verification mechanisms—positioning the platform to serve practitioners skeptical of AI reliability (The AI Era of Finance - A Practitioner's View, 2026-02-06)
Kepler develops novel double-entry evaluation framework combining code-based metrics and LLM assessment to grade accounting task quality, extracting most value from disagreements between evaluation...
Parallel's infrastructure enabled Kepler to develop AI that finance professionals can trust, addressing a critical gap in adoption of AI tools for financial work.
Kepler integrates Parallel's Search API to combine natural language understanding with deterministic accuracy and auditability for financial analysis, addressing trust concerns in AI-powered accoun...
Kepler argues LLMs excel at summarization but fail at the core financial requirement—numerical accuracy—unless systems include grounding, traceability, and verification mechanisms.
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