Sustainable provides AI‑driven, custom‑built datasets sourced from public‑domain content, delivering clean, validated, and fully traceable data in formats such as API, JSON, CSV, or reports. Its platform combines machine‑learning extraction with analyst review and offers usage‑based pricing, enabling corporate strategy, ESG, product development, and investment research teams to replace manual data pipelines and reduce costs.
Funding
Funding not disclosed
Founders
Product
Problem
Companies and investment teams spend excessive time manually gathering and cleaning data from disparate sources, while existing alternative‑data providers charge broad enterprise licenses that include irrelevant information, limiting efficiency and cost‑effectiveness.
Solution
Sustainable delivers AI‑driven, custom‑built datasets that align precisely with a client’s research, strategy, or product‑development objectives. Their platform ingests public‑domain content—including websites, PDFs, corporate disclosures, and document files—and applies a layered preprocessing engine that combines machine‑learning extraction with expert analyst review. The resulting data is de‑duplicated, validated, and annotated with full source traceability, ensuring accuracy and auditability. Clients receive the curated dataset in the format that best fits their workflow—API endpoint, JSON payload, CSV file, or comprehensive report—under a pay‑for‑what‑you‑need licensing model. This approach eliminates the need for internal data‑collection pipelines, accelerates insight generation, and reduces total cost of ownership.
Target Audience
Primary customers are corporate strategy groups, ESG analysts, product development teams, and investment research analysts who require bespoke, high‑quality data to inform decision‑making and model building.
Features
- AI‑powered ingestion pipeline that automatically extracts structured data from web pages, PDFs, filings, and office documents at scale.
- Multi‑tiered quality assurance framework combining automated validation rules with human analyst verification to guarantee clean, accurate data.
- Custom dataset design workflow where analysts collaborate with clients to define schema, coverage, and enrichment criteria.
- Transparent source provenance metadata attached to every record, enabling downstream audit and compliance checks.
- Flexible delivery options: RESTful API, JSON export, CSV download, or formatted analytical report, all secured with TLS encryption.
- Usage‑based pricing model that charges only for the specific data elements delivered, avoiding unnecessary bulk licensing.
- Seamless integration hooks (webhooks, SDKs) for embedding data directly into BI tools, data warehouses, or machine‑learning pipelines.