Deep Research Agentic AI Accelerator
From complex data to clear, trustworthy insights.
What the solution delivers for your organisation
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 and security first
Powered by Unity Catalog for consistent data and model control across every agent in the system.
Agent orchestration at scale
Leverage Mosaic AI for both single-agent and multi-agent workflows, without a second orchestration stack to maintain.
Continuous optimization
Built-in monitoring dashboards to evaluate performance and improve results over time.
Lower total cost of ownership
Keep sensitive data and models in-house while reducing infrastructure costs.
Deep Agentic solution architecture on Databricks
01
Analyse the request
Is this a simple lookup, or a complex multi-step task?
02
Decide the approach
Run it directly if it's straightforward, or break it into subtasks if it's complex.
03
Orchestrate execution
Delegate subtasks to specialised sub-agents, run them in parallel, and bring the results together.
Instead of relying on one model to do everything, the system behaves like a coordinated team of domain experts. That is what makes answers complete, reliable, and explainable - something a single AI model alone cannot guarantee.
Four phases. From LLM strategy to a monitored, governed deployment.
We define your LLM and agentic AI strategy, advise on model provider selection, and establish governance and security best practices with Unity Catalog. Provider choice is locked here, based on your data, your controls, and your cost profile.
End-to-end modular AI buildout. Agent workflows are assembled from Delta Tables, Vector Search, Genie, MLflow, and Lakebase on the Databricks Lakehouse Platform. Enablement of your teams runs alongside the build, for long-term adoption rather than handover at the end.
Deployment directly into your Databricks workspace as a scalable, production-ready endpoint. Built on Databricks Mosaic AI and independent of any single model provider, so the provider decision stays reversible.
Detailed multi-step model tracing, plus dashboards for usage, performance, and compliance. Automated reporting is configured to surface optimisation opportunities rather than waiting for someone to go looking.
Two tiers. Modular scope.
Choose where to start.
Transitional
Personalized
Pricing is based on modular customer requirements. Tell us your scope and we'll price against it.
Applied LLM on Databricks
