AION gives teams a customer-controlled record of what every covered AI request cost, where it was routed and which savings were verified. It runs inside the customer environment, beside existing gateways and agent stacks. Infivector does not need to see prompts, responses, credentials or evidence.
Infivector builds AION, a sovereign AI cost control plane for teams running AI traffic across agents, employees, applications and model providers.
AI spend is becoming a new cloud bill, but most teams only see the cost after the request is already served. AION is built to price, route, enforce budgets and verify savings before spend becomes an invoice problem.
The long-term product is a sovereign control plane for agent harnesses: cost, routing, budget policy, cache economics and signed evidence inside the customer environment.
Differentiators
01 / host
Runs in the customer cloud, VPC, on-prem or air-gapped setup. A vendor never holds a line to your production infrastructure.
02 / route
Uses intelligent CPU-based routing and preserves provider cache economics, switching only when it saves more than re-priming costs.
03 / compress
Selectively compresses prompt contexts with cache, tool-ordering and material-event guards.
Leadership
Founder, Infivector
IIT BHU graduate with 11.5 years in tech and quant, including 4.5 years at Amazon and AWS. Building AION from a simple thesis: as AI agents move into production, cost control, routing policy and savings evidence need to live inside the customer boundary.
