The Data-Centric AI Explainability Engine
Solving limitations in data-centric learning
Live Data Connection
Native Explainability
Fully Deterministic
Real-Time Simulation
One Engine, Multi-Dimensional Capabilities
The Howso Engine is a powerful, multi-dimensional analytics engine that delivers hallucination-free, fully traceable insights directly from your source data. Built on statistically grounded, natively explainable, and deterministic methods, the engine supports a seamless discover–predict–act workflow for both proactive exploration and reactive decision-making.
Leveraging advanced reinforcement learning and supervised learning, the Howso Engine dynamically adapts across a range of data contexts and decision scenarios – enabling robust, high-fidelity modeling that remains both explainable and precise, while real-time data perturbation powers performant insight generation without sacrificing accuracy or quality.
The Howso Engine also helps maintain strict privacy and compliance by generating and validating high-quality synthetic data that expands analytical reach without exposing sensitive information. With real-time data perturbation, zero data movement, and built-in watermarking, it ensures data integrity, traceability, and security at every step.
Used across industries, the Howso Engine is delivering rich context alongside every insight, empowering organizations to make confident, transparent, and data-driven decisions.
Use Cases
Unlock the Power of Data for Every Role
Howso provides tailored capabilities to both developers and business users, helping them harness data for smarter decisions, faster insights, and better outcomes.
Smarter Operations & Personalization
Capabilities: Causal ML Discovery, What-If Scenarios
Predictive maintenance and supply chain optimization
Customer 360, churn/retention modeling, and personalization
Real-time simulation and next-best-action recommendations
Risk & Anomaly Management
Capabilities: Anomaly Detection
Fraud detection and prevention
AML compliance
Claims, underwriting, and credit/risk management
Data Usability & Business Insight
Capabilities: Data Readiness & Usability, Full Predictive & Prescriptive
Automated data/semantic modeling, reduction, and movement
Business visibility: what changed, why, and what to do next
Prescriptive recommendations and operational efficiency
Trusted & Secure Data Intelligence
Capabilities: Privacy Accelerators
Synthetic data generation and watermarking
Safe data exchange for AI model training
Clean room collaboration for privacy-safe data monetization