Howso provides the Understandable AI® platform, an information‑theoretic and probabilistic alternative to black‑box neural networks that delivers transparent, attribution‑driven predictions with a full audit trail to the influencing data. The platform combines predictive and prescriptive analytics, synthetic data generation for privacy, and built‑in causal discovery and anomaly detection, enabling enterprise teams to trust, monitor, and act on AI insights quickly and securely.
Funding
$25M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
3OFounders
Product
Problem
Enterprises and data scientists often rely on opaque neural‑network models that can produce hallucinations, lack clear attribution, and require extensive pipeline management, making it difficult to trust, audit, and act on AI predictions.
Solution
Howso offers the Understandable AI® platform, an alternative to traditional black‑box models built on information‑theoretic and probabilistic foundations. The engine provides transparent, attribution‑rich predictions with a complete audit trail back to the influential input data, eliminating hallucinations and enabling both predictive and prescriptive analytics in a single system. Synthetic data generation retains full analytical utility while preserving privacy, and built‑in causal discovery and anomaly detection enhance insight quality. The platform integrates with existing enterprise ecosystems—including Microsoft Azure—and supports model monitoring, debugging, and agentic AI workflows, allowing non‑technical teams to access advanced analytics quickly and securely.
Target Audience
Primary customers are large enterprises, Fortune 500 companies, and research organizations that require trustworthy, auditable AI for critical decision‑making, particularly in finance, healthcare, and data‑intensive industries.
Features
- Explainable, attribution‑driven modeling that traces each prediction to specific training inputs
- Full audit trail and provenance metadata for regulatory compliance and trust
- Synthetic data engine that produces privacy‑preserving datasets without sacrificing analytical value
- Built‑in causal discovery and anomaly detection for deeper insight into data relationships
- Agentic AI capabilities that enable autonomous reasoning and decision support
- Seamless integration with Microsoft Azure Marketplace and other enterprise tools
- Model monitoring, debugging, and performance dashboards for rapid iteration
- Predictive and prescriptive analytics delivered through a single unified engine