Case study · Haystack
Haystack — AI Data Intelligence Platform
A data-driven intelligence platform: one AI search layer across documents, data lakes, and repositories, with real-time indexing, AI-driven correlation, and workflow automation — built to hold up under heavy data loads.
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Search layer across silos
Real-time
Indexing & processing
AI
Correlation & insights
Team — 5 specialistsDuration — 7 monthsIndustry — SaaS & B2B Platforms
The problem
Business and customer data lived in silos; teams couldn't find files, insights, or metrics quickly, fragmented tools disrupted workflows, and the existing setup failed under high data loads — with no AI layer to surface the opportunities hiding in the data.
What we built
The solution.
- 01Unified AI-driven contextual search across documents, data lakes, and repositories.
- 02Real-time indexing and processing so every new data point is instantly searchable and actionable.
- 03Scalable document management supporting structured and unstructured data alike.
- 04AI correlation engine uncovering deep patterns across structured and unstructured data.
- 05Workflow automation integrating approvals, notifications, and reporting for faster decisions.
- 06High-performance Golang services for indexing and search under load.
Next.jsNode.js / NestJSGolangMongoDB
Product
Inside the build.
Talk it through
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