After 30 years in enterprise technology — spanning Microsoft, Salesforce, and a prior startup exit — the pattern was unmistakable. Companies had working AI demos that never became production systems. Boards mandated AI. CTOs scheduled more POCs. Nothing shipped.
The gap was never the model. It was always the production engineering layer: inference infrastructure, MLOps, the serving stack, the handover documentation. The work that generalist consulting firms said they did but didn't have the depth to actually do.
Aevon exists to fill that gap. Specialist AI engineering — GPU optimisation, production inference, agent automation — at India's delivery cost, with US enterprise credibility and a contractual obligation to leave when the work is done.
60-minute infrastructure deep-dive. We tell you exactly what's recoverable on cost, latency, and engineering time.
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