A Non-Negotiable Base Layer for Making Data AI-Ready
Your AI Just Got Better
Rather than relying on large language models (LLMs) or static databases alone, Finch for Text leverages a massive entity knowledge base, incorporates curated datasets, and surfaces relationships from both.
- Leverages a massive entity knowledge base
- Incorporates curated datasets
- Surfaces relationships from both
These are combined with traditional NLP capabilities to generate results that are:
Contextual. Accurate. Trustworthy.
Go Beyond the LLM
The best-trained LLM is only as good as its access to the right data, and that data being delivered for the right task. But what every LLM truly needs is a consistent tool-chain that precisely extracts the most salient data from your connected data sets.
That’s Finch for Text. It’s essential for any AI initiative involving text.
Discover. Every. Relationship
Finch for Text is a truly differentiated approach to entity and relationship intelligence. Combined with proven NLP capabilities including:
- Entity, topic, and key phrase extraction
- Disambiguation
- Summarization
- Classification
- Sentiment detection
Meaning you can now persist and re-run queries, uncover new relationships as they emerge, and get real-time results that reflect real-time realities.
Who's Using Finch for Text?
With Finch for Text, analysts gain real-time insights from massive, streaming datasets – insights borne of next-generation sentiment analysis and high-fidelity entity-relationship mapping – both of which go far beyond the capabilities of a conventional LLM system.
It enables a retrieval augmented generation (RAG) approach to offer entity intelligence and context that make your AI better.
- A Combat Support Agency geotagging chat messages, reports and other sensitive content for situational awareness.
- A satellite company mining news to inform the positions of their satellites in real-time.
- A global data aggregator enriching a streaming feed of up to 40M news & social media documents per day.
- An international quantitative investment management firm using sentiment to add dimension to its trading algorithms.
- A global financial institution providing real-time alerts from enriched broadcast transcripts to its subscribers.
Separating Signal from Noise in Real-Time at Scale
Ready to Get Started?
Get in touch today to establish a clear picture of your information ecosystem.