Finch AI Solutions for the Public Sector

It’s critical that LLMs are trained on the right data. However, even the most well-trained LLM is only as effective as the quality of the dataset it’s given for a specific task. LLMs don’t evolve in real time alongside changing data; while they can use queries for context, they don’t improve at locating the data you need, and they often depend on static databases that quickly become outdated. What every LLM truly requires is a toolchain that ensures consistent, accurate extraction of the most relevant data from your connected datasets. That’s exactly what Finch for Text delivers. It’s an essential component of any AI initiative involving text.

Finch for Text’s unique approach—paired with advanced NLP capabilities like entity recognition, topic and keyphrase extraction, disambiguation, summarization, classification, and sentiment analysis—enables it to surface relationships and insights with remarkable speed. It can also persistently rerun queries to detect new relationships as they form. This ensures you receive real-time insights that reflect evolving realities faster than ever before.

Finch Analyst is an AI-powered interface designed for dynamic data interaction. It enables analysts to merge datasets and explore them in a non-linear fashion, unlocking entirely new ways to analyze information. At its core is Finch for Text, a robust NLP layer that prepares data for AI applications. This means Finch Analyst goes beyond simple search and retrieval—it helps you uncover connections, track trends, and extract insights faster than ever, even across massive and continuously evolving datasets.

Finch Analyst utilizes topics and agentic learning to query data intelligently, using responses to generate even deeper follow-up questions. We have developed a range of specialized AI agents in-house, designed for specific tasks. These agents are LLM-agnostic, meaning they work seamlessly with any language model and can operate across any data source. As a result, Finch Analyst delivers richer, more actionable insights to analysts handling a variety of complex tasks.

Finch Insight Reports empower analysts to quickly, comprehensively, and accurately generate shareable summaries of their findings. Built within Finch Analyst—our AI-powered discovery and exploration platform—and powered by Finch for Text, our foundational layer for making data AI-ready, Finch Insight Reports allow analysts to query data and then build on those responses with deeper follow-up questions. The outcome is a detailed, instantly shareable summary of their insights.

To create Insight Reports, we employ a unique retrieval-augmented generation (RAG) approach at the data ingestion stage. This process taps into our extensive knowledge base of over 44 million entities, curated datasets, and relationships uncovered from both. We then integrate these with advanced NLP capabilities to produce reports that are thorough, contextually grounded, and highly actionable. Additionally, we can incorporate external data sources and other systems of record, enabling analysts to extract even more value from their data.