AI Workforce · United StatesVerified · Clutch 5.0

Supernomics

A 45-second cold start was costing users and stalling enterprise deals. We cut it to 9 seconds and hardened the AI/ML pipeline into a security posture buyers could diligence.

45s → 9s

Cold-start latency

80%

Latency reduction

SOC 2

Security posture

Context

Supernomics runs an AI workforce product, and a 45-second cold start was a tax on every user and a drag on every enterprise deal. The AI/ML pipeline also needed a security posture solid enough to survive a buyer's diligence. Both had to be fixed without slowing the roadmap.

Approach

Profiled the pipeline to isolate cold-start cost from steady-state latency.
Re-platformed from Cloud Run to GKE for warm-pool control and predictable scaling.
Hardened the AI/ML pipeline with secrets management, network segmentation, and observability via Langfuse.

What we built

GKE-based serving with warm pools and autoscaling tuned to traffic shape.
Secured ML pipeline with end-to-end tracing and evaluation.
Observability and alerting wired to SLOs from day one.

Results

Cold-start latency fell from 45s to 9s, an 80% reduction users feel on every request.
A security posture buyers could diligence, aligned to SOC 2.
Predictable scaling under real traffic, operated with the pager held.