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Searchable Knowledge Platform for a US Research Team

Replaced a brittle research library with a searchable knowledge platform — core search live in six weeks, then expanded tool by tool without losing delivery rhythm.

Cover imagery illustrates the project category.

Client
US research organization (confidential)
Timeline
6-week MVP · phased tools after
Our role
Product engineering partner
3×
Faster day-to-day retrieval
6 wks
Core search MVP live
100%
On-time release increments

The challenge

A research team depended on documents and datasets, but finding material meant tribal knowledge and shared drives.

They needed a foundation that could grow without a big-bang rewrite.

Our approach

We locked an MVP: ingest, structured records, relevance-focused search, and admin paths researchers could own.

Secondary tools landed as increments on the same Django / Vue foundation.

What shipped

Concrete scope included in this engagement.

  1. 1 Document and record ingest
  2. 2 Relevance-focused corpus search
  3. 3 Admin and permissions
  4. 4 Saved views and filters
  5. 5 Phased roadmap after MVP trust

The result

Core search shipped in six weeks. Day-to-day retrieval felt roughly 3× faster, with on-time increments through follow-on phases.

Stack

Django Vue PostgreSQL Elasticsearch

Need a similar outcome?

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