The company

The accounting layer for the AI economy.

Every team, tool, and now every AI agent is buying AI. Someone has to answer what it all did, what it cost, and whether it was worth it. That's InferenceView.

The thesis

Every economy runs on accounting. The machine economy doesn't have any yet.

We started with a simple observation: nobody in the enterprise could answer "how much AI are we actually consuming, and who owns the spend?" The deeper we went, the clearer the trajectory became — the visibility problem compounds as consumption becomes autonomous.

Stage 1 · Now

AI FinOps. Discover, attribute, reconcile, and optimize enterprise AI consumption. Shipping as the InferenceView Platform — explore the sandbox.

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Stage 2 · Next

Agentic FinOps. What did my agents use, buy, and consume? Failed tool spend, duplicate purchases, cost per completed task. Previewing as AgentOps.

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Stage 3 · Eventually

Machine economy intelligence. Are my autonomous agents making economically rational decisions — and can I prove it to a CFO, an auditor, a regulator?

Proof, not promises

We sell to machines in production.

You can't build the accounting layer for agentic commerce from the outside. So we operate inside it: VERIFY is our live x402-paid utility — autonomous agents pay per call in USDC on Base to check whether a claim is true before they act on it. Real machine-native payments, real spend controls, real operating data. The lessons flow straight into AgentOps.

Live x402 seller — VERIFY prices verification at $0.05–$0.25/call, settled in USDC. Docs →

Human-in-the-loop by design — hard daily capacity, kill switch, full transaction ledger. Autonomous spending controls are a core product requirement, not an afterthought.

Evidence-graded data — every figure in our platform carries its provenance: authoritative, reconciled, estimated, or discovery. Numbers you can defend.

Honest architecture — we tell you what passive telemetry can and cannot see. That honesty is why CISOs and CFOs can both sign off.

The founder

Two decades of enterprise infrastructure, pointed at one question.

Nader Hantour

Founder, InferenceView · Founder, Intelix Systems

Technology strategist, founder, and enterprise infrastructure leader with 20+ years of experience spanning AI, cloud, data centers, security, and business strategy. Nader helps organizations navigate complex technology decisions, improve operational efficiency, optimize costs, and turn emerging technologies into practical business outcomes.

His approach combines technical depth, commercial strategy, systems thinking, and hands-on execution — the same combination InferenceView productizes: honest telemetry, defensible numbers, and optimization you can act on.

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The practice behind it

Backed by the Intelix Systems practice.

InferenceView grew out of Intelix Systems — an enterprise AI architecture and optimization practice. The advisory work surfaced the same unanswered question in every engagement; InferenceView is that question, productized. Intelix remains our services partner for architecture, optimization, governance, and private AI infrastructure engagements that the platform surfaces.

Enterprise AI architectureAI FinOpsx402 / agentic commercePrivate & sovereign AIGovernance

Explore the sandbox

Talking to us is the fastest way to see it on your data.

Prospect sandboxes are built from a one-page operating profile — providers, departments, rough monthly spend.