Real-time insights grounded in regulatory data
Ask complex questions and get precise, source-backed answers
Key benefits
Key features
Thurro Answers in action
See how professionals across sectors use Thurro to solve complex research problems, faster, deeper, and with full traceability From financial analysis to competitive intelligence, market shifts to strategic planning — Thurro is built for real use cases, not generic demos
Browse real Notebooks and explore the research behind the results.
Why Thurro Answers works better for decision-makers
Thurro AnswersPurpose-built for decision-makers | Generic AI chatbotsGeneral-purpose conversation |
Curated DataLakehouseBuilt on 800+ authoritative sources, 25 million+ daily data points, 5+ years of Indian financial and alternative data | Web-scraped trainingTrained on general internet data with limited financial or corporate depth and currency |
Decision-ready insightsDelivers structured analysis, not shallow summaries. Every answer includes citations and sources | Surface-level responsesProvides conversational answers without deep analysis or reliable source verification |
Unified data analysisCombines structured and unstructured data: filings, transcripts, alternative data, market intelligence | Limited data integrationCannot access real-time financial data, filings, or proprietary business intelligence |
ReliabilityTransparently states what it does not know, offering only accurate, available data | Hallucination riskMay generate plausible sounding but incorrect information, especially for specific queries |
Domain expertiseOptimised for corporate strategy, M&A, equity research, and investment analysis | General knowledgeBroad but shallow understanding across domains without specialised research capabilities |
Workflow efficiencyStreamline your workflow with automated portfolio analysis (watchlists, templates), organized research notebooks, and efficient background processing for large-scale data | Repetitive dragInefficient workflows often stem from manual, repetitive querying, a lack of systematic portfolio monitoring, inconsistent analysis frameworks, and the need for real-time interaction with |



