Optimal Intelligence

AI cannot optimize what your marketing still cannot measure.

We strengthen the measurement and decisioning you already have, then apply the right mix of human and artificial intelligence. Built for complex customer journeys and tightly governed data.

  • 20+Years in marketing analytics
  • $300M+Commercial value delivered
  • 350+Analysts and scientists led
  • 15+Countries operated in
  • $65MLargest P&L run

Why this exists

Every CMO expects AI. Few have it running.

In our experience, the gap sits underneath the models: in the measurement, data, and decision rights they depend on.

Source: BCG survey of 300 CMOs, June 2026

96%of CMOs say AI is transforming marketing end to end
8%run campaigns with multiple autonomous AI agents

Diagnosis

Why marketing AI stalls.

None of them are about the model. All of them are decided before a line of code is written.

01 · Signal loss

Attribution broke, and most teams never replaced it

Privacy rules and platform changes hide an estimated 30 to 40 percent of trackable conversions. Planning still runs on a number everyone knows is wrong.

02 · Compounding error

AI inherits your measurement error, then acts faster

An autonomous optimizer pointed at a broken signal spends confidently in the wrong direction, at machine speed.

03 · Commoditization

The model is no longer the hard part

Mix modeling is open source. The hard parts are the input data, the experiments that validate it, and finance accepting the answer.

04 · Regulation

Regulated marketing punishes improvisation

Consent, data provenance, and medical and legal review decide what a model may do. Retrofitting them costs quarters.

Signal loss estimate: industry sources, Journify, 2026 and Open Future Forum, citing IAB State of Data 2026.

Industries

Built for highly regulated industries.

Consent, data provenance, and compliance review shape what can be measured, modeled, and activated. We design for them from day one.

Our competitive advantage

Born in life sciences, pharma, and medical practices, we bring their regulatory rigor to every industry we serve.

It starts with understanding your customers: their journey from awareness to advocacy, and where to reach them with the right message at the right time. That is what compounds revenue and brand equity.

Life Sciences

HCP, patient, and medical affairs, late phase to patent expiry. Rare disease and oncology specialists.

  • Paid media & Salesforce
  • Pharmacy, claims & EHR data
  • HIPAA

Medical Practices

Aesthetics and plastic surgery: lower marketing costs, more new patients, higher lifetime value.

  • Aesthetics
  • Plastic surgery
  • Shared teams

Automotive

Marketing, sales, and dealer services across OEM, regional, and dealer levels.

  • CRM
  • Web & social
  • Paid media

Cannabis

Conservative supply and capital planning for growers and lenders. AI-forward retail.

  • Grow reporting
  • Lender investment
  • Scheduling & loss prevention

Luxury Retail

Boutique and established brands scaling up or preparing for private equity or acquisition.

  • Brand & CRM
  • Store operations
  • Growth plans & pitch books

For investors. Data, analytics, and AI diligence on acquisition targets before the bid, and the remediation roadmap after close.

See the case study

How we engage

Five ways in. Each stands alone.

Starting fresh? Begin with the audit. AI already in production? Begin with course correction. We work as an extension of your team, not a company you outsource to.

  1. 01AI Course Correction2 to 3 weeks · Entry point
  2. 02Measurement Audit3 weeks · Fixed fee
  3. 03Marketing AI Roadmap6 weeks · Fixed fee
  4. 04Build & Operating Model8 to 12 weeks · Fixed fee
  5. 05Fractional Chief Data & Analytics OfficerMonthly · Retained

Get started

Start with the audit. Then decide.

A first conversation is a working session, not a pitch. Bring the number you cannot currently defend and you will leave with a point of view on it, whether or not we work together.