AI InfrastructureGlobal
60% lower infrastructure cost with sub-second hybrid retrieval
Enterprise SaaS platform · Architecture & optimisation sprint
- 60%
- infrastructure cost reduction
- <1s
- hybrid lexical + vector retrieval
- Eval-driven
- every change measured before release
How the business benefits
Before vs. after Allometrik
Payback window · 6 weeks
Before
- RetrievalVector-only
- Infra costClimbing
- IDs & filtersMissed
After Allometrik
- RetrievalHybrid < 1s
- Infra cost–60%
- EvalsEvery release
The challenge
- A vector-only prototype had grown into production. Cost climbed; exact terms and IDs were missed.
The approach
- Hybrid fusion in SQL, right-sized embeddings, query understanding, synthetic + real evals.
Visual system blueprint
How it actually runs
Stack deployed
What it runs on
- PostgreSQL + pgvector
- Hybrid search
- Fine-tuned embeddings
- Synthetic evals
3× inference throughput for an AI startup+40% response precision for a fintech
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