AI-Native Orchestrator Always-ON Enterprise-ready
Measurement for the agentic enterprise
Maia Agent builds, refreshes and optimises your marketing mix models on data that never leaves your environment. You set the guardrails. You own the call.
01
Measure
Integrations
Works with the tools you already use
Maia Agent connects your modelling engines, AI stack, data and media platforms. Run MassTer, Meridian or open-source PyMC, with the right LLM for every task.
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 Agent is that agent for MassTer. It is not a chatbot on a dashboard. It operates the platform with controlled autonomy, inside your guardrails. No more measurement refreshed once a year.
What Maia Agent Does
Measure. Understand. Decide.
Activate. Learn.
01
Measure
Builds and validates models against your data, then refreshes them as new data arrives. No manual re-runs, no stale measurement.
02
Understand
Explains what moved and why, isolates the drivers, and answers follow-up questions in plain language you can take to a stakeholder meeting.
03
Decide
Builds optimised budget scenarios you can compare, constrain and take to a planning meeting. The best plan, ready before the meeting starts.
04
Activate
Pushes approved plans into your buying platforms so the decision reaches the media. From model to market without the manual handoff.
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 Agent works inside your environment on Snowflake, Databricks or Google Cloud, from the tools your teams already use. Your data never leaves it and is never used to train models.
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 Agent builds passes the same data, statistical and commercial validation as one built by hand. The audit trail traces what it did and why.
Human in control
Your team sets the guardrails: approval thresholds, protected budgets, activation scopes. Maia Agent recommends. You decide what it can do.
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 Agent includes read and write 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.
Monthly
$2,750
per month
Cancel any time. No annual commitment. No notice period.
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
- 150 Maia Tokens, in any combination across the five capabilities
- Read and write access to every MassTer product you have licensed — Studio, PACE, Mind and Flow
- Comprehensive support for every client, from onboarding through to your first model built and optimised
Before you start
Will this work on your data?
There is no AI measurement without the data to ground it. If your data is not ready yet, say so and we will tell you honestly whether Maia Agent is the right fit.
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 Agent 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.
02 · Decide
MassTer Mind
Budget Optimisation
Turn MMM outputs into optimised budget plans. Simulate scenarios, compare what-ifs, and act with confidence.
03 · Model
MassTer Studio
Modelling Engine
Build and run Marketing Mix Models without coding. AI-powered, fully validated, tailored to your business.
04 · Learn
MMM Academy
In-House Capability
Build in-house MMM expertise with structured training. The capability ends up inside your team.
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 Agent is $5,500. We think the comparison favours you. We’d rather you made it than took our word for it.