The Premier AI for Research.
Stop searching. Start asking. Answerable transforms your archive of PDFs and reports into an intelligent, verified research assistant that cites every claim.
Why Traditional Research Tools Fail
Keyword Rigidity
Traditional search (Ctrl+F) misses concepts. If you search for 'housing' but the document uses 'residential property', you find nothing. Answerable uses Semantic AI to understand meaning.
The Hallucination Gap
Generic LLMs make up facts. In research, a hallucination is a liability. Answerable uses RAG (Retrieval Augmented Generation) to ensure every answer is grounded in your verified data.
Digital Graveyards
55% of institutional knowledge is 'Dark Data'—lost in PDFs on shared drives. We bring that knowledge back to life by making it instantly queryable.
Built for the Rigor of Academic and Policy Research.
Structure-Aware Chunking
We don't just chop text. We respect headers, tables, and footnotes, ensuring the AI understands the context of every data point.
Full Citation UI
Users can click any claim to see the exact sentence in the source PDF, providing a complete chain of custody for information.
Zero-Temperature Settings
We prioritize precision over creativity. Our system is tuned to be literal and factual, not imaginative.
Multi-Document Synthesis
Ask questions that span thousands of reports. Spot trends across decades of research in seconds.
The 2023 Housing Report recommended a "targeted stabilization" model rather than hard rent caps. It argued that indexed increases (CPI + 2%) would preserve investment while protecting tenants from price shocks [Doc: p.42].
Common Questions about AI for Research
Q: Is AI for research actually accurate?
Generic AI (like ChatGPT) is prone to hallucinations. However, professional AI for research platforms like Answerable use Retrieval Augmented Generation (RAG). This means the AI can only answer based on the facts found in your uploaded documents, effectively eliminating the risk of fake facts.
Q: Can the AI handle thousands of documents?
Yes. Answerable is designed to index massive back-catalogs. Whether you have 50 policy reports or 50,000, our semantic search engine can query them all in parallel to find connections and synthesize answers.
Q: Is my research data secure?
Security is non-negotiable for research. We use Row Level Security (RLS) to ensure strict data isolation. Your documents are never used to train public models, and your 'brain' remains sovereign to your organization.
Q: Does the AI understand domain-specific terminology?
Yes. Unlike keyword search, semantic search understands the context of language. If you are a medical institute or a legal think tank, the system recognizes synonyms and related concepts specific to your field.
Ready to evolve?
Join the leading think tanks and research institutes already using Answerable to bridge the trust gap.