For CEOs, COOs, and Chief AI Officers of enterprise organizations

Make AI Work at Enterprise Scale

From factory floors to city infrastructure, we advise, build, and train enterprise teams to ship AI that survives procurement, security review, and operations. No pilot theatre — production systems your operations team owns.

The Problems Enterprise Leaders Actually Face

Endless pilots that never graduate — twelve to eighteen months of POC activity with zero production deployment

Procurement and security review cycles that kill momentum — every vendor takes nine months to onboard

Vendor lock-in from early foundation-model bets — rewriting agents when a cheaper model appears

No MLOps discipline — models retrained manually, drift undetected, incidents invisible

Board asks for AI governance proof and your team has no framework that satisfies both regulators and engineers

Enterprise Services

AI Strategy Sprint

Four weeks to a strategy document, a business case, an ROI model, and a 12-month execution plan — reconciled end to end and defensible to the board, the CFO, and your head of engineering

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Domain-Expert LLM Lab

Eight weeks. A fine-tuned open-weight model — Llama 3, Mistral, or Qwen — that outperforms GPT-4 and Claude on your vertical while running on infrastructure you control

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Physical AI Deployment

Sixteen weeks to AI running on the edge — inside a factory, a vehicle, a substation, or a sovereign infrastructure site — with the safety evidence, the SRE handoff, and the integration your operations team will accept

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Pilot-to-Production Hardening

Twelve weeks to harden a working AI pilot into a system that will survive its commercial stage gate — whether that is an enterprise launch, a public sector go-live, an SME rollout, or a Series A

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EU AI Act Compliance Program

Twelve to twenty-four weeks to risk-classify your AI systems, complete the conformity assessment, produce the Annex IV technical documentation, and stand up post-market monitoring — before an enforcement deadline finds you unprepared

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Fractional Chief AI Officer

Part-time executive AI leadership — six to twelve months, two days a week — owning the AI P&L, governing risk, reporting to the board, and coaching the team you will eventually promote into the seat

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Why Enterprise Teams Trust Hyperion

Production AI at Cisco (100M+ users) — shipped, not advisedDeputy GM at Renault-Nissan-Mitsubishi Alliance — owned a €250M programEU AI Act tracked since 2021 — compliance that closes deals instead of blocking themAdvise, Build, Train — one partner across the lifecycle, not three vendors to coordinate

Not Sure Which Page Fits Your Role?

Book a discovery call. I will listen to your situation and direct you to the right services — no pitch, just honest guidance.