The Marketing Science OS

Your models, run by your people and your agents

Alviss AI is the platform your marketing science runs on. Analysts and AI agents build, evaluate and update Bayesian models that you own. Planners use them to simulate, predict and optimize marketing, pricing, distribution and every other business lever.

Trusted by brands and agencies

G-Star Allianz Saxo Bank Uno-X Clever Airalo

Three questions to ask about any measurement solution

Most measurement is rented. A vendor or a consultant owns the model and you receive the answers. Alviss AI is built the other way round.

Who owns the model?

You do.

Models, data and results are yours, with full insight into what each model consists of. End the subscription and you download all of it and walk away.

Who can run it?

Your people and your agents.

Analysts, planners and AI agents build, refresh and question the models. Nothing depends on our staff or on anyone else's consultants.

What does it cover?

The whole business.

Marketing, pricing, distribution, brand, competitor activity, macro and seasonality in one joint Bayesian model. Media is one lever among many.

Humans and agents, equal operators

Everything a person can do in the Alviss AI interface, an agent can do over the API and MCP. Connect the agent you already use. There is no separate copilot to buy.

Your agents, over API and MCP

  • Upload data and create datasets
  • Build and evaluate models
  • Run effect analysis and read response curves
  • Simulate scenarios and predict outcomes
  • Optimize budgets across every lever

Your people, each in their own role

  • Modelers build, review and update models
  • Data managers own uploads and data quality
  • Media managers and planners simulate plans and optimize budgets
  • Analysts follow campaign performance and share results

One platform, the same results for everyone, access rights per role.

One model of your commercial drivers

Alviss AI models how every activity affects your KPIs. Not only marketing, but pricing, distribution, competitor activity and the world outside your business.

Measure

Quantify the effect of every commercial activity on your business outcomes, with a credible interval on every estimate.

Predict

Simulate scenarios and forecast outcomes with quantified uncertainty. Plan against a range, not a single number.

Optimize

Find the allocation that gets the most from your budget across channels, tactics, brands and markets, and compare it with your current plan.

How it works

From raw data to a model your team runs. Every step is open to a person or an agent.

1

Add Data

Load data through the interface, the API or MCP, and turn it into datasets.

2

Build

Configure hierarchical models per market, brand or product. No code required.

3

Evaluate

Review fit, drivers and uncertainty before anyone acts on a model.

4

Simulate & Predict

Test scenarios and forecast outcomes across every lever.

5

Optimize

Find the best allocation and share it with the people who plan.

How the alternatives compare

The same three questions, asked of each way to get marketing measurement.

Who owns the model Who can run it What it covers
Managed MMM platforms The vendor The vendor's team. Your agents can query the results. Mostly media
Consultancies and agency MMM The consultant The consultant The scope of the project
Open-source libraries You Your data scientists, in code What your team builds and maintains
Alviss AI You Your analysts, planners and agents Every business lever

Beyond Marketing Mix Modeling

Traditional MMM only looks at marketing. Alviss AI models your entire business (marketing, sales, CX, pricing, external factors) to give you a complete picture of what drives commercial outcomes.

Quantified Uncertainty
Every estimate and prediction comes with a credible interval, so you know how much weight a recommendation can carry.
Model Transparency
Full visibility into what each model consists of, what drives its results, and where it is uncertain.
Neutral by Design
We do not sell media, so the measurement has no interest in which channel wins.
Privacy-First
No user tracking, no cookie matching, no PII required. Works with aggregated data.
Alviss AI models the full system (marketing, sales, CX, pricing, and external factors) and their interactions

Run it yourself. Get help when you want it.

Services are optional and never a dependency. Many teams start with our help and take over as they build confidence.

Self Service

Full platform access. Your team and your agents run models independently.

  • Full platform access
  • Documentation & support
  • API and MCP access
  • Optional onboarding training
Learn More

Hybrid

Combine your team's domain expertise with our data science support.

  • Everything in Self Service
  • Dedicated analyst support
  • Model review & validation
  • Quarterly strategy sessions
Request a Demo

Full Service

We run the models with you first, then hand over when your team is ready.

  • Everything in Hybrid
  • Models run by our team
  • Custom reporting
  • Planned hand-over to your team
Learn More

Allianz is committed to measuring the impact of our CX programs. Following the success of AI models in marketing effectiveness, we're exploring their application to quantify CX program ROI.

Orquidea Hidalgo

Orquidea Hidalgo

Global CX AI & Analytics Manager, Allianz SE

Ready to make data-driven decisions?

See how Alviss AI can transform your marketing measurement and optimization.

Frequently asked questions

What is a Marketing Science OS?
It is the platform a company's marketing science runs on. People and AI agents build, evaluate and update the models, and analysts and planners use those models to simulate, predict and optimize. The company owns the models, the data and the results.
Can AI agents operate Alviss AI?
Yes. Over the API and MCP an agent can do everything a person can do in the interface: upload data, create datasets, build and evaluate models, read response curves, simulate, predict and optimize. You connect the agent you already use.
Who owns the models and the data?
You do. You have full insight into what each model consists of, and you can download models, data and results at any time, including when you end the subscription.
How is Alviss AI different from traditional Marketing Mix Modeling?
Traditional MMM looks at marketing channels and is usually delivered by a vendor or consultant who keeps the model. Alviss AI models the whole business, including pricing, distribution, competitor activity and external factors, and your own team operates it. Every estimate comes with quantified uncertainty.
Do I need a data science team to use Alviss AI?
No. Models are built in the platform without code, and each role gets an interface that fits its work. Teams with data scientists can use the API and MCP for full control. Onboarding and consulting are available if you want help getting started.
How long does it take to get started?
First models are typically running within weeks, provided your data is ready for modelling and the pipelines to load it are in place. Data preparation is the part that varies most between companies.
Is Alviss AI privacy compliant?
Yes. Alviss AI works with aggregated data only. There is no user tracking, no cookie matching, and no PII required, which keeps it compatible with GDPR and other privacy regulations.