Brainpower
for Agents.

Genius™ empowers agents with cognition, the ability to reason, plan, learn.

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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

Rapidly ideate and validate Bayesian models for inference that explicitly map causal relationships.
Build agents that respond to dynamic environments with online learning and planning based on real time observations and explainable decisions.
Streamline complex integrations and deployments.
ML Researchers can spend less time implementing and more time experimenting.
ML Engineers can spend less time adjusting models that fail to perform in the face of complexity and uncertainty.

Reliable

Predictions have confidence score qualifiers

Explainable

Transparency into how predictions and decisions are made

Sustainable

Less compute and less retraining means less energy

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

Risk Assessment

Assessing the probability of financial default for a loan applicant.

Fault Diagnosis

Detecting system malfunctions in a manufacturing line.

Recommendation Systems

Personalizing movie recommendations for streaming services users.

Predictive Maintenance

Scheduling maintenance for a fleet of industrial machines.

Optimization

Finding the best delivery routes for logistics companies.

Resource Allocation

Distributing limited medical supplies during a health crisis.

Modeling & Validation Tooling

Intuitive low-code user interface for modeling and structuring cause and effect in data.

Genius Agents

Simplified & high-performing standard agent that can run based on any compatible models.

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.

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.

Andy Tasker

Prodigii

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.

Who is Genius for?
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.
- Intuitive tools for rapid prototyping and validation.
- Seamless integration with existing research libraries (e.g., PyTorch, TensorFlow).
- Advanced diagnostic capabilities to analyze model performance.
- Ability to create modular models that can be easily reused and adapted for future research.
- Reliable, scalable infrastructure for deploying models without needing extensive rewriting.
- Instrumentation and logging to understand model behavior in production.
- Support for retraining and fine-tuning models based on real-time data.
- Tools to efficiently update and deploy model versions.
- Advanced Bayesian modeling techniques for uncertainty quantification.
- A sandbox environment for fast iteration and debugging.
- Easy-to-use interfaces for testing and comparing different models.
- Visualizations for understanding model behavior and decision boundaries.
- Automated pipelines for model deployment, testing, and rollback.
- Easy integration with existing DevOps tools (e.g., Kubernetes, Docker, CI/CD systems).
- Real-time monitoring and alerting for drift and performance issues.
  Visual and interactive tools for troubleshooting and debugging.
What problems is Genius designed to solve?

Genius is ideal for tackling complex problems that require quantifying uncertainty and making inferences on the likelihood of causes given observed effects. Some examples:

Rain, Sprinkler, Wet Grass

What is the probability that it rained or that the sprinkler was on, given grass is wet?

→ P (rain | wet grass)

Cold, Flu, Cough

Given that someone has a cough, determine the probability that it is due to a cold or a flu or both.

→ P (cold | cough)

Infection, Viral Illness, High Fever

Given a high fever, determine the probability that it is due to infection or viral illness?

→ P (infection | cough)

Defective Machine, Power Fluctuation, Production Halt

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)

Brainpower
for Agents.

Genius Outperforms DeepSeek R1 in Code-Breaking Challenge, Mastermind

Make sense of your data in minutes not weeks.

Beyond smart. Genius.

Risk Assessment

Assessing the probability of financial default for a loan applicant.

Fault Diagnosis

Detecting system malfunctions in a manufacturing line.

Recommendation Systems

Personalizing movie recommendations for streaming services users.

Predictive Maintenance

Scheduling maintenance for a fleet of industrial machines.

Optimization

Finding the best delivery routes for logistics companies.

Resource Allocation

Distributing limited medical supplies during a health crisis.

Who is Genius for?

What problems is Genius designed to solve?

Rain, Sprinkler, Wet Grass

Cold, Flu, Cough

Infection, Viral Illness, High Fever

Defective Machine, Power Fluctuation, Production Halt

Brainpower for Agents.

Genius Outperforms DeepSeek R1 in Code-Breaking Challenge, Mastermind

Make sense of your data in minutes not weeks.

Beyond smart. Genius.

Risk Assessment

Assessing the probability of financial default for a loan applicant.

Fault Diagnosis

Detecting system malfunctions in a manufacturing line.

Recommendation Systems

Personalizing movie recommendations for streaming services users.

Predictive Maintenance

Scheduling maintenance for a fleet of industrial machines.

Optimization

Finding the best delivery routes for logistics companies.

Resource Allocation

Distributing limited medical supplies during a health crisis.

Who is Genius for?

What problems is Genius designed to solve?

Brainpower
for Agents.