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Use Cases

This collection summarizes AI product and engineering use-cases developed at Divami. Each entry links to a full write-up with the problem statement, approach, core capabilities, workflow, and business value.


  • Browser Automation for Bulk PDF Download: Automated, auditable headless browser flows (Playwright/Selenium) to log in, navigate, solve CAPTCHAs where permitted, and batch-download PDFs.
  • Business Card Reader: AI-powered OCR and entity extraction to digitize business cards into structured contacts and summaries.
  • Company Information Researcher: Query-based company intelligence API that aggregates and structures public/company data for fast research.
  • Daksh — Structured Workflow Engine: Stage-gated product development workflow that converts vision and flows into specs, epics, and tasks with traceability.
  • DARA: Divami Account Research Agent: Automated account discovery, ICP classification, intelligence report generation, and personalized outreach content for sales teams.
  • DIPK: Divami Intelligent Prompting Kit: Centralized prompt and context hub that integrates with tools (GitHub, Jira, Drive) to produce context-aware, high-quality AI prompts.
  • Face Similarity Search API: Fast face-matching service built on Amazon Rekognition + S3 for identity verification and visual search.
  • AI Logistics Agent: Agentic route & fleet optimizer combining ML and rules for route planning, vehicle assignment, and incident handling.
  • PDF Analyzer: AI parsing framework (IIRM) for documents, business cards, and company queries to produce structured, queryable outputs.
  • Ritvik — Transcript-Centric Platform: Converts meeting transcripts into tasks, dashboards, chat-driven queries, and analytics.
  • STRIDE: Sales content intelligence engine that unifies, tags, and retrieves collateral to enable personalized sales pitches.
  • Video Analytics — Farming: AI-driven batching and harvest planning for sugar mills/distilleries to maximize sugar and ethanol yield.
  • Video Analytics — Store Monitoring: Real-time object detection, tracking, zone-based alerts and analytics for retail and facilities.
  • Visual Data Entry System: Structured workflow and tooling for turning visual inputs into actionable product artifacts.