Deep-Research Agentic AI Accelerator on Databricks
From complex data to clear, trustworthy insights — powered by multi-agent intelligence
Enterprises are generating data at unprecedented speed, yet the ability to extract clear, reliable insight remains limited. Most AI systems provide quick outputs but lack the transparency, control, and governance required for enterprise adoption.
The Deep Agentic AI Accelerator by DATAPAO transforms that dynamic.
Built on the Databricks Lakehouse Platform, it orchestrates a network of specialized AI agents that work together to deliver reliable, explainable insights at enterprise scale. The solution ensures end-to-end governance through Unity Catalog and secure orchestration via Mosaic AI and AI Gateway.
At the core lies an Orchestrator Agent, a control layer that analyzes each request, breaks down complex tasks into subtasks, assigns them to domain-specific agents, and synthesizes the results into a coherent, transparent answer you can trust.
This next-generation system moves beyond chatbots. It’s a strategic intelligence engine designed for enterprises that demand accuracy, adaptability, and compliance from pilot to production. We leverage the most advanced LLMs available in today’s fast-moving ML landscape — both open-source and licensed — and integrate them seamlessly into Databricks to maximize control, performance, and cost efficiency.
Key Benefits
- Deeper insights – Uncover hidden relationships across structured and unstructured data for transparent, explainable decisions.
- Faster time to market – validated agent workflows in weeks, production-ready in months.
- Governance & security first – powered by Unity Catalog for consistent data and model control.
- Agent orchestration at scale – leverage Mosaic AI for single- and multi-agent workflows.
- Continuous optimization – built-in monitoring dashboards to evaluate performance and improve results.
- Lower total cost of ownership – keep sensitive data and models in-house while reducing infrastructure costs.
Deep Agentic solution architecture
Scope of work & deliverables
Advisory
- Define LLM and agentic AI strategy.
- Model provider selection guideline and advisory.
- Governance and security best practices with Unity Catalog.
Solution Building
- End-to-end modular AI buildout.
- Agent workflows combining Delta Tables, Vector Search, Genie, MLflow, and Lakebase from the Databricks Lakehouse Platform.
- Enablement of customer teams for long-term adoption.
Model Serving
- Deployment directly in your Databricks workspace.
- Scalable, production-ready solutions.
- Accelerator built on Databricks Mosaic AI that remains independent of any model provider.
Monitoring
- Detailed multi-step model tracing.
- Dashboards for usage, performance, and compliance monitoring.
- Automated reporting to identify optimization opportunities.
Package & Price
| Transitional | Personalized | |
| Define an LLM strategy based on your requirements | ||
| Configure Databricks features for the multi-agent pipeline | ||
| Select the best-fitting AI provider | ||
| Building end-to-end LLMOps pipeline | ||
| Setting up monitoring to easily track how your model performs | ||
| Enable your Data Team to manage and maintain the solution | - | |
| VOLUME OF ENGAGEMENT | 2-3 weeks | 2-3 weeks + Enablement days |
Note: Pricing based on modular customer requirements
The one-stop Databricks partner
DATAPAO is a Data Engineering and Data Science consulting firm covering the entire data journey, including strategy, implementation, training, and innovation. As a go-to Databricks partner since 2017, we are the one-stop solution to help organizations understand and leverage data better through the leading Data Intelligence Platform.
