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EdTech

Beacon Insights

Semantic matching over thousands of programs, with discovery and indexing fully automated.

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Services provided
AI Implementation · MVP Development
Technologies
Ruby on Rails · pgvector · OpenAI · Stripe
Beacon Insights AI search interface

The challenge

Beacon wanted to move beyond traditional keyword search. Users needed to describe what they were looking for in natural language, while the platform translated those requests into structured filters, semantic searches, and useful AI-generated guidance. The product also needed automated data ingestion, university multi-tenancy, subscriptions, user workflows, and administrative controls.

What Silver River delivered

We built a conversational discovery product that matches users with relevant opportunities. Automated collection and indexing keep the program catalog searchable, while university accounts and subscriptions support the product model.

The result

Semantic matching over thousands of programs, with discovery and indexing fully automated.

Key phases

  1. Discovery and architecture

    Define program discovery, university accounts, and subscription requirements.

  2. Platform development

    Build the conversational search product and matching pipeline.

  3. Migration and integration

    Connect automated scraping, indexing, and subscription billing.

  4. Launch and ongoing support

    Deliver semantic discovery across thousands of programs.

Technologies

  • Ruby on Rails
  • pgvector
  • OpenAI
  • Stripe

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