From generic LLMs to
Thurro Intelligence

See how Thurro’s private AI architecture overcomes the accuracy, security and context gaps that limit open language models in institutional settings.

Why generic LLMs fail institutions Open large language models pose critical limitations for financial and institutional intelligence	The Thurro advantage A private, AI-powered intelligence layer, tailored for your organisation
Overconfident hallucinations Generic models generate false information when data is missing, presenting speculation as fact without warning	No hallucinations Precise, contextualised information grounded securely in your verified data sources
Slow and shallow analysis Generic models generate false information when data is missing, presenting speculation as fact without warning	Unified intelligence layer Market, proprietary & alternative data combined into one layer
Data exposure risks Open training loops & lack of enterprise-grade controls	Enterprise-grade privacy Deployed in your cloud; never used for model training
Garbage-in, garbage-out Inconsistent source quality = unreliable decisions	Tailored, reliable outputs Custom reports, charts & models tuned to institutional needs

From generic LLMs to
Thurro Intelligence

See how Thurro’s private AI architecture overcomes the accuracy, security and context gaps that limit open language models in institutional settings.

Thurro Answers Purpose-built for decision-makers	Generic AI chatbots General-purpose conversation
Curated DataLakehouse Built on 800+ authoritative sources, 25 million+ daily data points, 5+ years of Indian financial and alternative data	Web-scraped training Trained on general internet data with limited financial or corporate depth and currency
Decision-ready insights Delivers structured analysis, not shallow summaries. Every answer includes citations and sources	Surface-level responses Provides conversational answers without deep analysis or reliable source verification
Unified data analysis Combines structured and unstructured data: filings, transcripts, alternative data, market intelligence	Limited data integration Cannot access real-time financial data, filings, or proprietary business intelligence
Reliability Transparently states what it does not know, offering only accurate, available data	Hallucination risk May generate plausible sounding but incorrect information, especially for specific queries
Domain expertise Optimised for corporate strategy, M&A, equity research, and investment analysis	General knowledge Broad but shallow understanding across domains without specialised research capabilities
Workflow efficiency Streamline your workflow with automated portfolio analysis (watchlists, templates), organized research notebooks, and efficient background processing for large-scale data	Repetitive drag Inefficient workflows often stem from manual, repetitive querying, a lack of systematic portfolio monitoring, inconsistent analysis frameworks, and the need for real-time interaction with each query