
Apache OpenNLP
High-performance, Java-based machine learning toolkit for advanced natural language processing.

The Intelligence Layer for Global Financial and Professional Services Data.

Kensho, an S&P Global company, is a premier AI laboratory specializing in machine learning and natural language processing for the financial sector. Its 2026 technical architecture is centered around the 'Financial Knowledge Graph,' a massive, interconnected data structure that links disparate datasets to S&P Global's master identifiers. The platform excels at processing complex, jargon-heavy financial documents where general-purpose LLMs often falter. By utilizing specialized models like Kensho Scribe (speech-to-text for financial calls) and Kensho NERD (Named Entity Recognition and Disambiguation), the system provides high-fidelity data extraction that maps directly to Capital IQ and GlobalID ecosystems. In the 2026 market, Kensho positions itself as the mission-critical middleware for financial institutions building autonomous AI agents, providing the structured 'ground truth' data required to mitigate hallucinations in RAG-based systems. Its infrastructure is built for massive scalability, supporting high-throughput API demands for the world's largest investment banks and regulatory bodies.
Kensho, an S&P Global company, is a premier AI laboratory specializing in machine learning and natural language processing for the financial sector.
Explore all tools that specialize in named entity recognition. This domain focus ensures Kensho Technologies delivers optimized results for this specific requirement.
Named Entity Recognition and Disambiguation that links 100M+ entities to a unique GlobalID.
Deep learning-based speech-to-text engine specifically trained on over 100,000 hours of financial earnings calls.
A sophisticated data-matching tool that cleans and maps messy internal data to institutional-grade datasets.
ML-driven OCR and table extraction that understands the layout and context of financial reports.
NLP classification engine tuned for financial sectors and industry themes (GICS).
Native integration with S&P Global's universal entity identifier system.
A 2026-era graph database connecting entities, people, and events with temporal awareness.
Request an enterprise API license via the Kensho/S&P Global sales portal.
Authenticate using OAuth2 credentials provided in the developer console.
Define the data schema for ingestion (e.g., earnings call audio vs. SEC filings).
Use Kensho Link to map internal legacy datasets to S&P Global IDs.
Configure Kensho NERD endpoints to flag specific financial entities in real-time streams.
Implement Kensho Scribe for high-fidelity transcription of earnings calls with custom dictionary support.
Integrate Kensho Extract to pull structured data from semi-structured financial PDFs.
Set up webhook listeners for batch processing completion notifications.
Run a data validation pass using the Kensho Classify engine to ensure thematic accuracy.
Deploy into production with monitored throughput and latency tracking via the Kensho dashboard.
All Set
Ready to go
Verified feedback from other users.
"Users praise Kensho for its domain-specific accuracy, noting that it far outperforms general-purpose models in financial contexts, though the enterprise cost and implementation time are significant factors."
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High-performance, Java-based machine learning toolkit for advanced natural language processing.

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