Agentic Data Engineering
A fully equipped data engineer at your disposal 24/7.
Problem
Organizations don’t have enough data engineers to prepare data for analysis.
80% of time is spent on menial tasks
Data scientists spend 80% of their working hours on menial tasks like data cleaning and transformation.
Only 10% of data is accessible
Enterprise has only accessed 10% of its massive amount of data, leaving business insights unrealized.
6+ week wait time
Data engineering teams take an average of 6+ weeks to prepare data for analysis.
Solution
Make data preparation accessible to all of enterprise with Howso’s Agentic Data Engineering.
No-Code
Perform complex data preparation 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 prepare the data they need in hours.
Intelligent Feature Engineering
Derive insight directly from your data and uncover predictability of features, feature importance, anomalies, and marginal statistics right out of the box.
Generate & Validate Synthetic Data
Generate synthetic data using the industry’s only solution that doesn’t use neural networks. Audit each data point for privacy and utility.
Embed Hidden Watermarks
Establish origin, authenticity, and demonstrate that data has been securely handled. The mark remains intact even if the data is modified, providing a persistent security layer.
Explore Agentic Data Engineering Solutions
Ready to enhance your data engineering 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.