PX42’s Data Modernization Services don’t just move your data to the cloud, they unleash swarms of intelligent agents to manage, optimize, and evolve your pipelines in real-time, turning your data fabric into a living, learning ecosystem at scale.

We consolidate legacy data warehouses, lakes, and operational systems into unified lakehouse or data fabric architectures. These modern platforms support real-time analytics, centralized governance, and the always-on requirements of agent-based decision-making.

PX42 conducts a full audit of enterprise data models and standardizes schema structures across lines of business. This enables agents to consume clean, structured data without transformations that slow execution or introduce inconsistencies.

We implement event streaming platforms such as Kafka, Pulsar, or cloud-native alternatives to deliver data in motion to AI Agents. This ensures that your agents are working with the most current information available, which is crucial for making time-sensitive decisions.

PX42 deploys MARL agent swarms that continuously monitor pipeline health, detect latency or quality anomalies, and take corrective actions automatically. These autonomous agents collaborate in real time to balance loads, reroute traffic, and ensure pipeline resilience.

We generate high-fidelity synthetic datasets that mirror production characteristics while ensuring data privacy and compliance. This allows agents to be trained, tested, and iterated on safely—even when real-world data is limited or restricted.

PX42 designs intelligent training systems that auto-scale based on resource availability and model complexity. These loops continuously retrain agents as new data becomes available, maintaining performance while optimizing cloud compute costs and usage.