What it sells
AI that makes AI fast
Business model breakdown
Buyer: who owns the budget?
UnverifiedCTO/engineering leads whose product depends on inference latency.
Trigger: what makes them buy now?
Latency spikes under load (voice agents need sub-800 ms turns) and high inference cost.
Workflow: what inputs become what output?
Wafer measures customer traffic, tunes kernels/engine/traffic on a dedicated endpoint for a TTFT SLA, production in under two weeks.
Economics: what it saves and how it charges
Inference serving priced per usage/dedicated endpoint; claims 30% lower p50 TTFT for Neon Health and 50% lower inference cost for Brilliant.
Distribution: how it reaches customers
Self-serve app (app.wafer.ai) plus dedicated-endpoint sales ('Talk to our CEO', 'Benchmark my workload').
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Summer 2025 | — | Y Combinator | ycombinator.com |
Profiles summarize public reporting and company websites. Business-model notes are MaxBC's reading of that material, not confirmed facts; unknowns are left blank rather than guessed. Updated 2026-10-12.