Extend (Productivity)
Screenshot of Extend

Extend

Extend extracts, classifies, and automates data from unstructured documents, images, and emails, with security controls suited to enterprise workflows.

Screenshot

What is Extend?

Extend is an AI tool for automating enterprise workflows with unstructured data. It extracts and processes information from documents, images, and emails, handling formats that include PDFs, CSVs, XLSX files, images, and handwritten notes. Beyond extraction, it supports sorting, analysis, and question-answering over your data.

Security is a core focus. Extend uses encryption, audit logs, and granular permissions, follows SOC2 policies, and never trains its models on customer data. It can be deployed on-premises and includes confidence scoring to assess extraction accuracy, plus a human-in-the-loop system for additional validation.

Who created Extend?

Extend was founded by Hari Anbarasu and Kushal Byatnal. The team includes experienced startup founders and operators with backgrounds at Brex, Opendoor, Airbnb, and Google.

What is Extend used for?

  • Data extraction and classification: Pulling information from documents, images, emails, and handwritten notes, then sorting and categorizing it.
  • Workflow automation: Building end-to-end automations that combine AI tools with business logic and rules, including custom internal workflows that need no engineering support.
  • Accuracy assurance: Confidence scores and human review to validate extracted data before it is used.
  • Monitoring and observability: Real-time dashboards and custom alerts to track pipeline performance.
  • Pipeline development: No-code modules for faster go-live, built-in evaluations and test suites for quicker iteration, and options across models to reduce risk.
  • Integrations: Connections with enterprise tools, including Azure OpenAI instances.

Summary

Extend suits teams that need to automate document-heavy, data-intensive processes securely. Its extraction, classification, monitoring, and validation tooling—along with on-premise deployment and strict data handling policies—make it a practical option for enterprises with compliance requirements.

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