Skip to main contentThe 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, and structured data sources. Now you can automate routine analysis with pre-built Workflows, monitor your portfolio with an interactive Watchlist, precisely select your sources with the Content Catalogue, and tackle complex questions with our Research agent.
By understanding context and intent, the Assistant surfaces both relevant and trustworthy insights instantly, helping users cut through information overload and act with confidence.
Why use the Bigdata Assistant?
Finance professionals are often hesitant to use conversational chatbots due to several unmet needs:
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Transparency of sources
- Every insight is fully attributable, showing you the exact source of the information.
- You can also take control by using the Content Catalogue to filter and select from specific trusted sources before asking a question.
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Real-time accuracy
- Our agent is grounded in real-time data, ensuring you get insights that are accurate up to the very last minute and reducing the risk of outdated information.
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Specialized Depth
- Generic chatbots provide superficial answers. For complex questions, our Deep Research agent plans and executes a multi-step analysis, drawing insights from the right datasets—structured and unstructured alike—to deliver the nuanced, expert-level information that professionals rely on.
Bigdata combines finance-specific language models with our proprietary Knowledge Graph, which connects vast amounts of structured and unstructured 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.
Real-time knowledge, fewer hallucinations
Our agent is grounded in real-time data, which helps build trust and produce timely, accurate insights.
How Bigdata empowers financial workflows
Use the Assistant to gain market intelligence, automate research, and make informed financial decisions.
- Ask complex questions: Use natural language to have the Deep Research agent plan and execute multi-step research.
- Launch pre-built Workflows: Automate routine analysis, like preparing a detailed earnings preview, in just a few steps.
- Create briefs and reports: Instantly generate summaries and reports from high-quality data sources with full attribution.
- Upload your own content: Chat with your files to quickly find key information, generate summaries, or ask specific questions about the documents.
- Monitor your portfolio: Use the Watchlist to monitor your portfolio, create custom lists, or track curated indices.
Why Financial users choose Bigdata App and API
- Enterprise-Grade Security: Your data is kept completely private, is never used for model training, and is protected by ISO 27001 compliance, with SOC 2 certification expected by the end of the year.
- Smarter Than Chatbots: Purpose-built for the financial industry, our proprietary Knowledge Graph understands complex financial relationships, delivering more precise and attributable results than generic AI.
- One-Stop Shop: Create a single source of truth by securely uploading proprietary documents to be searched alongside premium financial data and public content, all within one easy-to-use platform.
- Workflow Automation: Go beyond simple Q&A by using pre-built workflows to automate complex, routine analysis like earnings previews, saving valuable time and reducing manual effort.