Enterprises are under constant pressure to increase productivity, reduce costs, maintain competitive edge and manage risk. They need better predictions to make optimal decisions relevant to the domain-specific problems of their business.
Today’s general purpose AI models fail to reliably solve these domain-specific problems. This is why Gartner predicts 50% of AI models will be domain-specific* by 2027.
Genius is the world’s first agentic enterprise intelligence platform for rapidly building solutions that make reliable domain-specific predictions and decisions – particularly where there is uncertainty, ambiguity or novelty – designed from the ground up to address today’s enterprise-class challenges.
50% of AI models will be domain-specific
Gartner
Being able to explicitly model the cause-effect relationships of complex systems and quantify uncertainty means we can generate something not possible with traditional ML tools – results that are reliable, explainable, and assurance ready.
Intelligence Powered by Genius
Agents powered by Genius have agency and autonomy can act as the intelligent interface to knowledge repositories, systems, devices, other AI and ML models and even other agents.
Unlimited Potential
Hallucinations
Drift
Static models
Sample inefficiency
Sensitivity to noise
Black box
Hardware inflexibility
Lack of uncertainty quantification
Goodbye
bots, pre-training, black box, fragile, oceans of data, energy intensive, tedious rework
Hello
agents, continual learning, explainable, flexible, sample efficiency, sustainable, rapid prototyping
Instant Insight
Adaptable
Continual and online learning
Autonomous
Self-directed goal setting & decision making
Composable
Modular and reusable knowledge models
Efficient
Requires few samples and minimal compute
Explainable
Transparency into how predictions and decisions are made
Flexible
Powerful specialized GPUs are not required but optional
Interoperable
Shared knowledge means better decision making
Reliable
Predictions have confidence score qualifiers
Resilient
Fault tolerance and able to recover from failure
Scalable
Run in the cloud or at the edge
Sustainable
Less compute and less retraining means less energy
Quantify Uncertainty
Thrive in spite of of noisy, sparse or missing data
| Starter | Professional | Enterprise | |
|---|---|---|---|
| Monthly Price |
Get Started Free $99 After Limited Time Trial |
For Individuals $99 $199 After Limited Time Offer |
For Organizations Contact for demo |
| Capabilities | |||
| Model Editor | |||
| SDK | |||
| API | |||
| Users | 1 |
1 |
Unlimited |
| Agents | 1 |
5 |
Unlimited |
| Support | Community |
Email |
Priority |
| Hosting | Cloud |
Cloud |
Self |
| Signup | Signup | Signup | |
Features
Modeling & Validation Tooling
Intuitive low-code user interface for modeling and structuring cause and effect in data.
Performance Characterization
Command tool for monitoring model and inference performance in real time.
Enhanced Inference and Learning
Advanced Reasoning and planning using Bayesian inference mechanisms
Lifecycle User Enablement
Simplified deployment, tutorials and examples for enabling users get time to value.
Easy to Install & Use
Kubernetes containers for easy deployments
User Analytics & Telemetry
Know what features our beta users are using based on 3rd party analytics / telemetry tools to monitor agent health so that we know what and how to monetize.
Genius enables agents to generate predictions that are highly reliable, explainable and sustainable.
Reliable
Predictions have confidence score qualifiers
Explainable
Transparency into how predictions and decisions are made
Sustainable
Less compute and less retraining means less energy
Genius Model Editor
Genius Customer Portal
Genius Hosted Services
Streamline Your Pipeline
Simplify and automate from planning to production.
Genius provides familiar ways to ingest, validate, and preprocess data in preparation for creating machine learning models.
Genius provides tools to build, analyze, and validate probabilistic causal models of complex dynamic systems that can quantify uncertainty.
Deploy agents with your preferred tools and see your agent use active inference to reason, plan, and learn and act. They will continuously evolve with new observations and become specialized domain experts with ever-improving prediction accuracy and reliability.
*Gartner article from February 2025
FAQ
Our objective is to democratize Active Inference agents and Bayesian methods starting with supporting machine learning engineers who struggle with a model creation and deployment pipeline. As Genius evolves its features and capabilities will expand to include other personas. If you are looking for the following features and capabilities today then Genius was made for you.
Genius is ideal for tackling complex problems that require quantifying uncertainty and making inferences on the likelihood of causes given observed effects. Some examples:
What is the probability that it rained or that the sprinkler was on, given grass is wet?
→ P (rain | wet grass)
Given that someone has a cough, determine the probability that it is due to a cold or a flu or both.
→ P (cold | cough)
Given a high fever, determine the probability that it is due to infection or viral illness?
→ P (infection | cough)
Given that the production has halted, determine the probability that it's due to a defective machine, power fluctuation or both.
→ P (defective machine | production hault)
