The Bigdata Assistant is a next-generation AI tool tailored for professionals navigating fast-moving financial environments. Purpose-built to support real-time decision-making, it streamlines search and discovery across a wide range of information sources — including proprietary databases, public filings, premium financial content, and gated research.By understanding context and intent, the Assistant surfaces relevant insights instantly, helping users cut through information overload and act with confidence.
Finance professionals are often hesitant to use conversational chatbots due to several unmet needs:
Transparency of sources
Finance professionals need to know the exact sources of the information provided by chatbots.
Without this transparency, the reliability and credibility of the insights are questioned.
Real-time accuracy
Markets move fast. Finance professionals need insights that are accurate up to the very last minute.
Specialized Depth
Generic or superficial answers do not meet the standards or the needs of finance professionals,
who rely on nuanced and expert-level information to make informed decisions.
Bigdata combines finance-specific language models trained on vast amounts of financial data. This data comes from trusted sources, with full traceability and auditability on every answer:
Public sources: over 13,500 financially relevant web content sources, including SEC regulatory filings.
Transcripts for 40,000 listed companies including earnings results, analyst briefings, and company conferences.
Gated sources: premium insights from RavenPack, FactSet, MT Newswires, Benzinga, The Fly, Alliance News, FXStreet, LinkUp.
Internal sources: company data from file servers, eComms, CRM, ERP, BI Tools.
Unlike traditional chatbots, Bigdata uses a finance-focused taxonomy and integrates with premium financial data sources. Thanks to our RAG framework, we are able to get attributable results across all your data sources, with real-time updates.
Traditional large language models (LLMs) store data within the trained model. This limits the scalability and the capacity to provide real-time updates. Bigdata separates these functions, with a more efficient and transparent solution:
data resides in a vector database for efficient storage and retrieval.
data updates seamlessly without retraining the model.
answers are traceable to specific data sources, ensuring transparency.
We prioritize data security and keep your data separate from the model.
Our model allows us to scale efficiently without incurring additional training costs.