Discover causal relationships.
Identifies the true drivers behind behaviours and outcomes in complex financial data.
Explain every decision.
Builds interpretable causal graphs that trace how and why a decision was made.
Simulate what-if scenarios.
Runs counterfactual and what-if analyses to test risk, strategy, and policy choices before they go live.
Projector™
The causal engine behind your decisions
Projector™ is the central platform of the Causal AI Factory.
Complex data
Ingest structured and unstructured datasets from any source to build a unified causal view.
Domain expertise
Encode your teams' knowledge directly into the model for contextual, business-aligned results.
Strategic hypotheses
Formulate and test assumptions before committing to costly decisions.
Model cause-and-effect relationships
Go beyond correlations to map the true mechanisms driving outcomes.
Simulate complex scenarios
Run what-if analyses to anticipate risk and evaluate strategic options.
Test the impact of decisions
Measure the causal effect of each variable before taking action.
Produce explainable and verifiable results
Generate audit-ready outputs that regulators and stakeholders can trust.
Unlike traditional approaches, Projector™ goes beyond identifying correlations.
You're no longer looking for patterns.
You understand the mechanisms.
Projector™ is not an analytics tool.
It's a causal modeling infrastructure designed to produce Causal AI business agents.
How it works
From correlation to causal decision intelligence
Understanding mechanisms to act with reliability
Identify
- Causal structure of the system
- Key variables and hidden factors
Understand
- Cause-and-effect relationships
- What-if scenario simulation
Decide
- Root cause analysis
- Robust decision optimization
- Risk reduction
The Projector™ Platform
A complete causal AI workflow - from raw data to explainable, auditable decisions.
Quick data cleansing
Check and improve quality of data with automatic AI based processes.
Data aggregation from multiple hybrid sources
Aggregate financial data (time-series, cross-sectional) and qualitative data.
Work seamlessly with little Data
Build an understandable economic context from any number of data at your disposal.
Collaborative
Open space for teams to converse, collaborate and use complex modeling.
No Code AI intuitive platform
No extra IT skills needed. Friendly no code graphical user interface.
Quantamental model building
Artificial intelligence to process convictions of your experts.
Factor selection and cause-effect adjustment
Review factors, identify spurious correlations and adjust your causal AI model with no limits.
Real-time AI model training
Ultra modern and scalable AI technology.
Advanced causal AI features
Causal graphs, what-if scenarios, stress testing, backtesting, impact simulation, intuitive dashboards and explainable reporting.
Useful signal detection
Identify root causes, influential variables, weak signals and hidden interactions in complex environments.
Explained and defensible conclusions
Explain your decisions, understand your models and produce auditable, traceable and defensible results in critical or regulated environments.
An architecture designed to turn data into decisions
Projector™ integrates at the core of your environment to connect data, expertise, and decisions within a single infrastructure.
Data + business expertise
Your operational, industrial, financial, and environmental data are combined with your teams' expertise to structure the model.
You're not adding another tool. You're deploying a decision-making infrastructure.
Our first steps to transform your decisions
Step 1
Step 1
Strategic framing
Identify the business priority where causal AI creates the most value.
- →1 key problem
- →1 priority use case
- →1 clear decision objective
Step 2
Step 2
Causal modeling
Reconstruct the underlying mechanisms of your problem.
- →Identification of structural variables
- →Cause-and-effect relationship modeling
- →Scenario and intervention simulation
- →Counterfactual analysis
- →Actionable decision report
Step 3
Step 3
Activation & deployment
Turn the analysis into an operational lever.
- →Robust factual basis
- →Explainable and actionable decisions
- →Progressive deployment at larger scale
Clarify complexity and accelerate decision-making.
Request a demoFrequently asked questions
What is Causal AI?
Causal AI refers to the process by which one can establish a cause-effect relationship between data: the purpose is to answer the 'why' question for the AI model. Understanding causality is a key step forward complementing current AI methods.
Does the platform require a total reorganization of software stack?
No. You can use it without impact on your software stack organization, and you can also integrate generated Causal AI models into your stack with our API.
Is the platform easy to use?
Yes. With Projector™, you can create complex modelization in a few clicks. Our no-code AI platform is crafted by business experts to onboard any stakeholder with no technical skills.
Does your platform include technologies that require a licence fee?
No. You only pay the subscription to use ESG Projector™, with no hidden costs.
Who can use this platform?
This is a collaborative platform. Whether you are in marketing, trading, asset management, risk management, IT, data science R&D, or an analyst, you can use the platform and share your knowledge and insights through a single source-of-truth Causal AI model.