Orchestrate revenue agents with Pareto
Connect

Frontier AI, engineered with precision and measured in profit

Few operators. An agent layer. One financial system.

We built the firm on the new model from day one. A few senior operators run what took twenty people: agents industrialize the repeatable work, humans make the calls that count, and every action — human or machine — lands in one financial system.

The 80/20 — every task, routed

THE LOOP — WHAT STOPS PAYING IS RETIRED ▷ EVERY TASK The workEvery task in the growth operation ✓ Routed Split 80/20Repeatable to agents; judgment to people ✓ By design Agents runVariants, feeds, bids, reports — shipped ✓ Automated Operators decideApprove, allocate, kill — the calls that count ✓ Operator approved One ledgerEvery action lands in the ledger ✓ Reconciled

Pareto OS

One operating system for media, creative, commerce, and measurement.

Pareto OS is instantiated for each client — your data, your economics, and your doctrine, wired into one standardized architecture that every engagement runs on. Each component is built once, governed centrally, and improved for everyone. Run on Pareto.

Pareto OS — who runs what

Context LayerYour doctrine, encoded✓ Operator-setData LayerOne record of truth✓ AutomatedAgent RuntimeApproval thresholds set✓ Operator-gatedMeasurementReconciled to the bank✓ AutomatedAllocationBudget re-cut on evidence✓ Operator-gatedForecastModeled before committed✓ AutomatedExperiment SystemKill criteria attached✓ Operator-gatedInstall SystemBuilt with your teamSharedClient SurfaceWhere you read the systemYoursFinancial EngineThe one number everything reads✓ One number

AI Visibility

Be found where AI answers.

AI assistants and answer engines now sit between you and the customer — they summarize, compare, and recommend before your site is ever seen. We structure what the machines read, so they surface you first and describe you accurately.

Content

Answers, structured.

Pages, guides, and claims organized so answer engines can quote you correctly — and choose you when they do.

Product data

Feeds machines trust.

Catalogs, schema, and attributes kept accurate and complete everywhere AI reads — the substrate of every recommendation.

Brand signals

A brand machines can verify.

Consistent claims, reviews, and provenance across the open web — the evidence models check before they recommend.

Agentic Commerce

Sell where agents buy.

Commerce is turning machine-to-machine: shopping agents compare, negotiate, and purchase on customers’ behalf. The brands that win the next decade are the ones machines can find, understand, and transact with — and we build all three.

Feeds

Your catalog, readable by agents.

Product data published in the formats machine buyers consume — accurate, complete, and current.

APIs

Direct lines for machine buyers.

Endpoints for discovery, pricing, and checkout, so agents transact with you instead of scraping around you.

Offers

Priced for machine comparison.

Terms and bundles structured for agent evaluation — and built to win it profitably.

AI Operating Model

Every agent operates under financial controls.

The AI Operating Model is the agent layer run as a governed operation — designed around your work, installed inside your stack, measured in output, and held to the same controls as capital.

Approval thresholds

Humans approve above the line.

Every agent has defined limits on what it can spend and change on its own. Above those limits, a person approves — and the thresholds are set with you, in writing.

Kill criteria

Published before launch.

Every automation launches with the conditions that will retire it, agreed in advance. When performance drops below the human baseline, it is switched off.

Metered cost

Every agent action, priced.

Every agent action carries a metered cost that lands in your fully loaded CAC, tracked against the human hour it replaces — so automation earns its place in the P&L.

Let’s Connect

We make profit predictable.

Schedule a Diagnostic