Agentic BI & Data Science
A fully equipped data scientist at your disposal 24/7.
Problem
Organizations don’t have enough data scientists to meet the demand for decision intelligence.

70% of orgs. have a resource gap
7 out of 10 organizations do not feel they have the necessary skills to leverage data science effectively.
Only 10% of data is accessible
Enterprise has only accessed 10% of its data, leaving a massive amount of business value unrealized.
3+ month wait time for insights
Data science team take an average of over 3 months to deliver decision intelligence.

Solution
Make decision intelligence accessible to all of enterprise with Howso’s Agentic Data Science.
No-Code
Perform complex analyses through intuitive interfaces and simple natural language queries.
No Models
Howso built the industry’s only explainable, performant alternative to neural networks. We eliminate bias, hallucinations, and drift, so you can get results you can understand and trust.
Complete Data Democratization
Why wait months for decision intelligence? Now, managers, marketers, analysts, and operators have the tools they need to make data-driven decisions in hours.

Data Insights
Our data insights are derived directly from your data and tell you predictability of features, feature importance, anomalies, and marginal statistics right out of the box.
Causal Inference
Howso’s Causal AI goes further by helping you develop a more nuanced understanding of cause-and-effect relationships within your data.
What-if Analysis
Empower non-technical teams to make more informed strategic decisions based upon what-if scenarios which showcase how different features impact outcomes.
Explore Agentic Data Science Solutions
Ready to enhance your data science capabilities? Discover how our agentic solutions can help you build trust in data/AI and maximize ROI.

5x
the # of employees making data-driven decisions.
93%
reduction in time to gather decision intelligence.
22%
improved decision accuracy.
100%
visibility into Generative AI decision making.
Use Cases

Marketing
A marketing team automates the integration and preparation of real-time customer data from multiple sources, enabling them to launch personalized campaigns within hours instead of days, boosting campaign effectiveness by 20-35%.

Banking
A banking team streamlines real-time data pipelines to monitor employment and regional economic indicators, enabling proactive loan restructuring programs that reduce defaults by an additional 10% and improve customer retention by 25%.

Supply Chain
Factory managers build dynamic, scalable data pipelines for supply chain simulations, reducing the time required for impact analysis by 50% and enabling cost savings of up to 30% through more agile logistical adjustments.