Processing 5TB+ of quantitative and qualitative financial data through our distributed pipeline, featuring real-time data ingestion, hybrid search infrastructure, and LLM-powered analysis across multiple providers.
Processing multi-format (HTML, PDF, XBRL, DOCX) through Databricks Spark pipeline.
Form Type | Format | Processing |
---|---|---|
Form 10-K | HTMLXBRL | 2.3M tokens |
Investment Memo | Azure BlobDOCX | 300K tokens |
Form 8-K | PDFHTML | 500K tokens |
Earnings Calls | AudioTranscript | 800K tokens |
processing
·2m ago·table-extractor-modelcompleted
·5m ago·xbrl-parserprocessing
·1m ago·sentiment-analysis-modelprocessing
·30s ago·footnote-analyzerEnhanced BM25 algorithm for keywords combines with vector-based semantic search in Elasticsearch. Cross-encoder reranking ensures optimal result relevance for complex financial queries.
query: What was Apple's R&D spending in 2023?
consensus_response: Apple's R&D spending was $29.915 billion in fiscal year 2023, a 14% increase from $26.251 billion in 2022.
Private docs are isolated between organizations. We don't mingle them in the same Postgres table or Elastic index. This offers guarantees that a user from firm A will never see data from firm B.
The org admin can change the configuration of the connector at any time. When that happens, we do a full sync to make sure Fintool only see what we're explicitly allowed to see.
Each document, each data chunk is stored with its up-to-date access rights. Whenever we query a Postgres table or Elastic index, the user must provide his identity with the connector. In essence, if you can't access a document within your org's sharepoint, Fintool AI won't see it.
Each org has a single admin — the admin is the person that sets up the connectors
The data pipeline creates isolated storage artifacts for each organization
How Fintool used Braintrust to develop a repeatable evaluation workflow that scales to massive amounts of data while maintaining trust in high-stakes financial contexts.
How Fintool achieved 7.41x faster processing speed and 89% cost reduction by moving its LLM infrastructure to GroqCloud for financial analysis.
How Fintool identifies LLM performance bottlenecks in real-time across a multi-provider, multi-model LLM infrastructure.
Help us build the future of financial technology. We're looking for exceptional engineers to join our team.