LONGITUDE LABS
Longitude Labs builds benchmarking frameworks and research instruments that expose the capabilities and failure modes of AI agents operating on financial spreadsheets. Its published research—BlueFin and SpreadsheetArena—provides teams with empirical, reproducible methods to measure agent performance in unstructured data environments, enabling more effective deployment and human oversight.
- Artificial Intelligence
- Data & Analytics
- Developer Tools
- Software Only
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
AI agents operating on complex, unstructured data environments—particularly financial spreadsheets—often fail silently or produce unreliable outputs, leaving teams unable to trust or calibrate their performance. Without standardized benchmarks or diagnostic tools, organizations struggle to determine where agent errors originate or how to improve their workflows.
Solution
Longitude Labs builds navigation instruments for AI agents, providing benchmarking frameworks and research that expose agent capabilities and failure modes in financial spreadsheet tasks. Its published research—BlueFin for benchmarking LLM agents on financial spreadsheets and SpreadsheetArena for decomposing preference in LLM generation of spreadsheet workbooks—gives teams empirical, reproducible methods to measure agent performance. These instruments function like the historical longitude solution: a reliable reference point for navigating open, unstructured data environments. By grounding evaluation in structured, domain-specific tasks, the company helps organizations identify agent strengths, weaknesses, and drift, enabling more effective deployment and human oversight.
Target Audience
Engineering and AI/ML teams building or deploying LLM agents for financial analysis, spreadsheet automation, or other unstructured data-heavy workflows, as well as researchers studying agent reliability.
Features
- BlueFin benchmark: a standardized evaluation suite for LLM agents operating on financial spreadsheets, published on arXiv
- SpreadsheetArena: a research framework that decomposes preference in LLM generation of spreadsheet workbooks, enabling granular performance analysis
- Publicly available research artifacts that support reproducibility and cross-team calibration of agent behavior
- Methodological focus on unstructured data environments, addressing the gap between simple API tests and real-world financial workflows