SageMaker, Bedrock, and always-on GPU instances are eating your runway. InferWorks cuts your inference bill 10–50× — without sacrificing latency or quality.
Your AI product works. Users love it. But your AWS bill doubled last quarter and your CFO is asking questions. You suspect 80% of your inference is overprovisioned. You know your embedding pipeline is wasteful. You know self-hosting would cut costs dramatically — but your team is busy shipping features, and nobody has the depth to do this right without breaking production. That's where InferWorks comes in.
Most AI startups are paying GPU prices for workloads that don't need GPUs, and managed prices for infrastructure that should be self-hosted. I find the gap and close it, without sacrificing latency or quality.
Managed vector databases are convenient at 10k vectors and ruinous at 10M. I migrate you onto infrastructure that scales linearly in cost — and usually runs faster than what you had.
When p99 latency starts climbing as traffic grows, throwing more instances at it is the expensive answer. I find the actual bottleneck and fix it at the source — typical result is 5–10× throughput on the same hardware.
I profile your inference, embedding, and orchestration costs and deliver a written report with specific recommendations and projected savings. Refundable if I can't identify at least 5× your fee in annual savings.
Monthly retainer, scoped to your priorities. I work alongside your engineers, review the PRs, own the rollout. Most clients see ROI within the first month.
I'm the Lead Engineer at Albatross, an AI platform powering real-time product discovery for some of Europe's largest marketplaces. We process 30B+ predictions per year, generate €100M+ in GMV for our customers, and serve everything end-to-end in under 100ms. InferWorks is how I bring that infrastructure expertise to AI startups whose growth is outpacing their cloud bill. Based in Belgrade, working with teams worldwide.
Book a free 30-minute cost diagnostic. I'll look at your stack and tell you, honestly, whether I can help. No sales pitch.