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EchOS for Engineering & Design

EchOS Playbook Live Reviewed: 2026-09-04

Ingest specs, CAD notes, and tribal design decisions into an indexed genome that answers in under a second.

status:operational · nodes:14,203 · ingest:120+/hr · p95_latency:0.727s
Ingestion: 120+ docs/hr Extraction: 95% P95 latency: 0.727s Dedup: Automatic Contradictions: 100% caught

[01] // Why it matters

Engineering knowledge is scattered across specs, CAD files, change logs, and the people who built the system. Every query becomes a search for a needle in a shared drive. EchOS makes design intent answerable.

[02] // What the engineering team gets

  • Indexed specs - requirements and versions retrievable in one query.
  • Intent routing - questions routed to the right knowledge in under a second (P95 0.727s).
  • Confidence decay - outdated design docs are flagged, not trusted.
  • Deduplication - duplicate or conflicting file versions are resolved at ingestion.

[03] // How it works

  • Documents are extracted and embedded locally with a MiniLM-based pipeline.
  • Relationships are stored in a Neo4j graph alongside a 39-table PostgreSQL model.
  • Qdrant handles semantic retrieval so questions match meaning, not just keywords.
  • Answers cite their source so design decisions are always traceable.

[04] // Proof

  • Over 120 documents per hour ingested at 95% extraction accuracy.
  • P95 answer latency of 0.727 seconds.
  • 100% of known contradiction pairs caught automatically.

Test it on your own specs or see deployment pricing.

[05] // Why it matters

Hunting through shared drives for the right spec version is time that engineering should spend building.

[02] // How it works

EchOS indexes documents at over 120 docs per hour and answers intent-routed queries from the resulting graph.

[03] // Setup steps / inputs needed

Document ingestion, entity mapping, and search integration with your existing tools.

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