Bring the World's Data Into Your Lake
Harvest is Bandhan’s enterprise data acquisition and indexing accelerator, scraping, structuring, and indexing external and internal data into OneLake for AI, analytics, and intelligence applications.
Built for Chief Data Officers, Heads of Data Engineering, Competitive and Market Intelligence Leaders, and AI Engineering teams sourcing external and unstructured data at scale.
The Hidden Cost of Patchwork Data Systems
What Is Harvest?
How Harvest Works
Harvest is built on a managed, observable data acquisition and indexing architecture engineered for enterprise reliability.
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Source Configuration
Declarative configuration of external sources, including websites, APIs, and document repositories, alongside internal document stores.
Scrape and Ingest
Scalable, observability-instrumented scrapers and ingestion pipelines with anti-bot, rate, and schema-change handling.
Structured Extraction
Entity recognition, table extraction, and semantic structuring of unstructured content, including PDFs, articles, and transcripts.
Indexing and Landing
Native landing in OneLake with vector embeddings, full-text index, and lineage metadata.
Governance and Consumption
Data products available to AI and analytics consumers with quality, lineage, and freshness service level agreements.
What Harvest Handles
Resilient Web Scraping
Production-grade scrapers with anti-bot handling, schema-change detection, and automated remediation, built for source volatility.
Document and PDF Indexing
Large-scale ingestion and structured extraction from PDFs, contracts, transcripts, and operational documents.
Entity and Table Extraction
Semantic structuring of unstructured content with entities, tables, and relationships extracted for downstream consumption.
OneLake-Native Landing
Data lands directly in OneLake with vector embeddings, full-text indexing, and lineage metadata.
Source Quality Monitoring
Observability and alerting on source freshness, schema drift, and quality anomalies.
Governed Data Products
Acquired data exposed as governed data products with quality service level agreements and consumption documentation.
External Data You Can Actually Depend On
Reliable external data supply
Scrapers and ingestion pipelines that hold up in production, not just in development
Faster AI use-case enablement
Acquired data is AI-consumable from day one, with no per-project data engineering required
Unlocked internal document value
PDFs, contracts, and documents become first-class AI and analytics data sources
Reduced data engineering toil
Centralized acquisition replaces team-by-team scraper maintenance
Audit-ready data lineage
Every record traces back to source, time, and method, supporting compliance and review
Operational visibility
Source health, freshness, and quality are monitored and alerted continuously
The Sources Harvest Brings In
Competitive Pricing and Market Intelligence
Continuous acquisition of competitor pricing, assortment, and positioning signals from public sources.
Regulatory and Public Filings Ingestion
Scheduled ingestion of regulatory filings, court records, and public registry data for compliance and intelligence.
Customer Review and Voice-of-Customer Aggregation
Aggregate customer reviews, forum content, and social signals from public sources for sentiment and trend analysis.
Internal Document AI Enablement
Index contracts, policies, manuals, and historical correspondence for AI-grounded enterprise applications.
Alternative Data for BFSI and Investment
Structured acquisition of alternative data sources for risk, investment, and intelligence applications.
What Sets Harvest Apart
Proven in Practice
Ready to Make External and Unstructured Data a Reliable Supply, Not a Recurring Scramble?
Book a Harvest pilot scoping call with a Bandhan data engineering specialist. We will review your priority data sources, whether external or internal, and define a pilot that demonstrates reliable acquisition, indexing, and AI-consumable delivery.