AI-Native Orchestrator Always-ON Enterprise-ready

Marketing mix modeling
that runs itself

Maia builds, refreshes and optimises your marketing mix models against data that never leaves your environment. You review the answer. Maia does the work.

01
Measure
Integrations

Works with the tools you already use

Maia connects to your modelling engines, AI stack, data infrastructure and media platforms, operating across your environment without moving data outside it.

Modelling & Analytics Platforms
MassTer · Meridian · and more
Enterprise AI
OpenAI · Microsoft Copilot · Anthropic · Google Gemini
Data Connectivity Tools
Snowflake · Databricks · Google Cloud · BigQuery
Activation Platforms
Google Ads · Meta · Amazon Ads · TikTok
What is Always-ON Intelligence?

Always-ON Intelligence is what happens when an AI agent operates the measurement loop end to end. It keeps Marketing Mix Modeling models fresh, reads them for meaning, recommends the next best action, activates it, and learns from the outcome. Maia is that agent for the MassTer platform. It is not a chatbot bolted onto a dashboard. It is the operator of the platform, working within the trust and governance layer built into MassTer.

What Maia Does

Measure. Understand. Decide.
Activate. Learn.

Maia Measure — product screenshot
01

Measure

Builds and validates models against your data, then refreshes them as new data arrives. No manual re-runs, no stale measurement.

Maia Understand — product screenshot
02

Understand

Explains what moved, isolates the drivers, and answers questions about the results in plain language you can take to a stakeholder meeting.

Maia Decide — product screenshot
03

Decide

Builds optimised budget scenarios you can compare, constrain and take to a planning meeting. The best plan, ready before the meeting starts.

Maia Activate — product screenshot
04

Activate

Pushes approved plans into your buying platforms so the decision reaches the media. From model to market without the manual handoff.

Maia Learn — product screenshot
05

Learn

Monitors model health continuously and recalibrates as evidence accumulates. Every cycle makes the next recommendation sharper.

Governance and Trust

Works within your guardrails

Maia connects MassTer to your enterprise AI ecosystem. Surface insights and trigger workflows from the tools your teams already use, running on Snowflake, Databricks or Google Cloud.

Measure Understand Decide Activate Learn
Analytics leaders scaling measurement CMOs who want recommendations, not reports Teams running Always-ON MMM
Trusted by design

Every model Maia builds passes the same validation, versioning and explainability checks as one built by hand. The audit trail shows what Maia did and why.

Human in control

Your team sets the guardrails: approval thresholds, protected budgets, activation scopes. Maia recommends. You decide how much it executes.

Always explainable

Every recommendation traces back to model evidence you can interrogate and defend. Nothing happens without a reason you can show a stakeholder.

Transparency by default

You see everything it does

Maia includes read access to the full MASS Analytics platform from day one. Every model, every coefficient, every transformation. Nothing is hidden and every assumption can be challenged.

Every model, coefficient and diagnosticMassTer Studio
Refresh status, cadence and model healthMassTer PACE
Every recommendation and its underlying scenarioMassTer Mind
Your pipelines and the data contractMassTer Flow
Pricing

Transparent, predictable cost.

No seat counts. No API charges. No hidden restrictions.

Annual
$30,000
per year, around nine per cent less
For teams that prefer to budget annually.
Included every month
  • Unlimited reporting units: measure as many brands and markets as you need
  • 20 Maia actions, in any combination across the five capabilities
  • Read access to MassTer Studio, PACE, Mind and Flow
  • Direct support from our team for the first 60 days, through to your first model built and optimised
Want to take the controls? Licences convert read access to write, so your team can edit models, set the refresh cadence and build scenarios by hand. Add them when you need them.
Before you start

Will this work on your data?

Marketing mix modeling needs the right raw material. If your data is not there yet, say so and we will tell you honestly whether Maia is the right starting point.

Around two to three years of weekly history. MMM needs enough variation over enough time to separate one channel from another. Less than that and no tool will give you a reliable answer.
Media and outcome data you can already access. Spend by channel and revenue or another outcome measure, in a form your systems can share.
Enough media across enough channels for there to be something to model. The more varied the mix, the more Maia can distinguish.
The MASS Analytics Platform

One Platform. Four Components.

Maia is the AI agent at the heart of MassTer. Each module feeds the next, and Maia keeps the loop running automatically.

Maia the Agentic Orchestrator

Maia coordinates every module automatically, refreshing models as new data lands, with no manual re-runs, no gaps in measurement.

✓ You are here
01 · Measure
MassTer PACE
Always-ON MMM

Continuous model refresh as new data lands. Always-on measurement, always-current decisions.

Explore
02 · Decide
MassTer Mind
Budget Optimisation

Turn MMM outputs into optimised budget plans. Simulate scenarios, compare what-ifs, and act with confidence.

Explore
03 · Model
MassTer Studio
Modelling Engine

Build and run Marketing Mix Models without coding. AI-powered, fully validated, tailored to your business.

Explore
04 · Learn
MMM Academy
In-House Capability

Build in-house MMM expertise with structured training. The capability ends up inside your team.

Explore

Try it against whatever
you’re already doing.

A data scientist costs around $12,000 a month fully loaded, before the months it takes to reach a first model. Two months of Maia is $5,500. We think the comparison favours you. We’d rather you made it than took our word for it.