The challenge

Structuring unstructured data is slow, costly, and never finished.

Producing accurate structured data from filings, transcripts, and disclosures at scale is a multi-year data engineering effort. The hard part is the curation, not the model on top.

Curation is the hidden cost

Most of the effort in any financial data build goes into collecting, parsing, and structuring documents at scale, not the analysis.

Coverage gaps break datasets

A dataset built on a partial universe produces partial signals. Reaching every filing and exchange that matters is its own problem.

Integration friction

Even good data is useless if it cannot flow cleanly into existing pipelines, warehouses, and tools.

What Orbit does

Generate the data you need. Pay for what you receive.

Orbit delivers machine-readable filings and a method for producing custom datasets on demand, designed to enhance your existing process rather than replace it.

Machine-readable exchange filings

Instant access to Orbit's global knowledge base of machine-readable exchange filings, available before next market open. Access filings in PDF and machine-readable formats, including vector formats, through the Orbit API suite or as a daily managed feed.

The parsing is optimized for financial documents, with table detection, financial-statement recognition, and layout preserved with better than 99% accuracy, so the structured output reflects what the original document actually says.

Filing package delivered as PDF, text, and structured vector data

Custom data production

A method for producing a wide range of financial, ESG, and research data to meet many use cases. Generate the data you need, on the frequency you need, in the format you need, and pay only for what you receive.

Dataset builder preview for custom data production

Automate data operations

Use the Agent Marketplace to automate data production workflows, generating financial, ESG, and research data at a company level, at any frequency, on a schedule or a trigger.

Automated schedule running data production tasks

Traceability and compliance

Full data traceability, with every datapoint tracked back to its original source. This lineage is what makes the output usable for auditing, compliance, and regulatory reporting, and easy to verify.

Structured record traced back to the exact source document

How teams consume it

Delivered the way your stack wants it.

However your team prefers to consume data, Orbit fits the data layer of your stack.

API access

Programmatic access to entity, document, search, and question-answering capabilities for your own applications.

Managed daily feed

Structured filings and datasets delivered through secure, authenticated channels on the publication cycle.

Warehouse integration

Clean, source-linked datasets landed directly in your data warehouse, ready to model on.

MCP endpoints

Datasets and agents queryable natively as MCP endpoints inside your own AI tools.

Custom extraction

Define each datapoint and extraction logic to generate datasets tailored to your needs.

Vector formats

Machine-readable filings in vector formats, available before next market open.

75,000+
Companies covered
70M+
Documents processed per year
120
Countries
10+
Years of history

Stop building data infrastructure. Start using it.

See how teams generate the financial, ESG, and research data they need without building the pipeline. These are conversations that matter deeply to us at Orbit.