Hello from Laminar Instruments!

[Darreck Bender]

Hi Andy,

I can help teams on GCP lower cloud spend and reduce server footprint on the hot path around generative AI. I’m proposing a short Q1 ’26 pilot using a lightweight in-memory state service for one lane you choose—context/session state near inference, policy checks, or real-time signals that sit next to models.

The value is simple: run the same traffic with fewer nodes and stable response times during spikes, so $/request drops and experiences stay responsive. It runs in GKE or Cloud Run inside the customer’s boundary and can be turned off with a feature flag at any time.

Scope is one lane for six weeks, no-cost evaluation. Success means matching or improving latency and throughput while using fewer nodes than the current baseline so the savings are visible on the invoice. If that’s useful, I’ll send a one-pager and the container image. Open to a 20-minute scoping call next week?

Best, 

Darreck Bender

Founder at Laminar Instruments

Linkedin | GitHub