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What is Bigdata.com?

Bigdata is a new-generation AI chatbot purpose built for real-time financial workflows. Bigdata.com automates search and discovery across real-time private, public and gated data sources. In order to do so, it uses a retrieval augmentation generation framework.

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About R.A.G.

Retrieval-Augmented Generation (RAG) is a technique to improve the accuracy of large language models (LLMs) like ChatGPT or Gemini. LLMs are great at generating text, but they can struggle with facts and often make things up (hallucinate). RAG works by letting the LLM access external sources like websites or documents before generating its response. This helps the LLM to stay grounded in factual information and avoid making stuff up. It’s like letting an LLM consult a library before answering a question.

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Why Bigdata.com?

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.

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Real-time knowledge, fewer hallucinations

Our models are updated in real time to reduce the risk of outdated insights or hallucinations.

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How Bigdata empowers financial workflows

Bigdata can be used to gain market intelligence, automate research, and make informed financial decisions:

  • Ask questions in natural language in the Bigdata App, and get answers from both public and private sources.
  • Get more accurate and timely insights from real-time indexing and up-to-date analysis.
  • Create short briefs, reports, and more from high quality data sources with full attribution.
  • Stay on top of your watchlist or portfolio by chatting with it in natural language, just like you would with a colleague.
  • Deep dive into niche datasets like Jobs Market data through simple natural language questions.

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Why Financial users choose Bigdata App and API

  • 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.