Shuman Ghosemajumder
CEO
Reken
10/10Traction
Reken is a cloud‑based AI platform that ingests unstructured inputs such as PDFs, scans, and emails, then uses large‑language models to extract, clean, and semantically enrich structured data. It provides a no‑code workflow builder, RESTful APIs, and real‑time delivery to integrate the extracted information into enterprise systems, enabling finance, legal, healthcare, and insurance organizations to automate document processing and accelerate insight generation.
- Artificial Intelligence
- Data & Analytics
- Cybersecurity
- Enterprise Software
- Software Only
Updated 4 months ago
Funding
Raised to date
$10MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Fika VenturesNo round attributed
- fika.vc (opens in a new tab)investor website
FPV VenturesNo round attributed
GreycroftNo round attributed
HomebrewNo round attributed
- homebrew.co (opens in a new tab)investor website
OmegavpNo round attributed
- omegavp.com (opens in a new tab)investor website
Funding sources
“Greycroft, FPV Ventures, + 8 Other investors”
Funding rounds are not available yet.
Founders
Product
Problem
Organizations lack a unified, AI‑driven platform to automate the extraction, transformation, and analysis of unstructured data across disparate sources, leading to manual processing, errors, and delayed insights.
Solution
Reken offers a cloud‑based AI platform that ingests raw documents, images, and other unstructured inputs, applies large‑language‑model processing to extract structured information, and delivers the results via APIs and dashboards. The system automates data cleaning, entity recognition, and semantic enrichment, reducing the need for manual data entry. Integrated workflow tools enable users to define custom extraction pipelines and trigger downstream analytics or business processes. Real‑time processing and scalable infrastructure support high‑volume workloads while maintaining data security and compliance. The platform’s modular architecture allows seamless integration with existing enterprise systems and data warehouses.
Target Audience
Primary customers are enterprises in finance, legal, healthcare, and insurance that need to automate document processing and derive actionable insights from unstructured data.
Features
- End‑to‑end pipeline for ingesting PDFs, scans, emails, and other unstructured formats
- Large‑language‑model powered entity extraction, classification, and summarization
- No‑code workflow builder for custom extraction and transformation rules
- RESTful APIs and webhooks for real‑time data delivery to downstream applications
- Built‑in data governance controls, encryption at rest and in transit, and audit logging
- Scalable cloud infrastructure with auto‑scaling compute resources