Choose Your Path
What Does Your Business Need?
Fix the Compute. Unlock the AI.
We cut Databricks overspend with Serverless migration and activate Genie and AgentBricks — intelligent workflows built directly on your existing Databricks environment.
- Serverless Migration & Compute Optimization
- AI on Databricks — Genie & AgentBricks
- Databricks Apps & Platform Enablement
- Compute Audit & Cost Reduction
Databricks-Centric Offerings
Built for the Data Intelligence Era
Serverless Migration & Compute Optimization
Most teams on Databricks are significantly overspending — running workloads on legacy Classic compute when Serverless delivers the same performance with zero infrastructure overhead. We audit your compute posture, identify waste, and migrate workloads to Serverless so your Databricks spend becomes a competitive advantage, not a cost centre.
- Compute audit: map idle clusters, over-provisioned SKUs, and Classic compute waste
- Serverless Jobs & SQL Warehouses: eliminate warm-up time and idle DBU spend
- Right-sizing: match cluster configurations to actual workload profiles
- Cost forecasting: model post-migration DBU spend before any cutover
AI on Databricks — Genie & AgentBricks
Your data is already on Databricks. We activate its AI capabilities without standing up separate infrastructure. Genie turns your tables into a natural-language interface so business users get answers without SQL. AgentBricks lets you build autonomous agents that trigger actions, run pipelines, and orchestrate workflows — all within your existing Databricks environment.
- Genie spaces: configure AI/BI for natural-language queries across your data
- AgentBricks: build autonomous agents that act on Databricks data and pipelines
- Databricks Apps: deploy internal tools hosted directly on your Databricks platform
- No separate AI stack: everything runs inside your existing environment
Databricks Apps & Platform Enablement
Databricks Apps lets teams build and host internal data applications directly on the platform — no external servers, no separate deployment pipeline. We design, build, and deploy internal tools using Databricks Apps, configure your workspace for team-wide self-service, and make your platform production-ready from day one.
- Databricks Apps: build and host internal tools within your Databricks environment
- Workspace configuration: cluster policies, access controls, and team onboarding
- Self-service enablement: Genie spaces for non-technical stakeholders
- Usage monitoring and cost governance across teams and workspaces
Platform Depth
Technology We Master
We don't sell tooling. We cut Serverless compute spend, activate Genie for natural-language analytics, and build agentic workflows on AgentBricks — all within your existing Databricks environment.
Apache Spark
Serverless compute runs on Spark. Knowing how to optimise Spark workloads — partition strategies, broadcast join thresholds, AQE configuration — is what makes our Serverless migrations efficient, not just functional. We diagnose your existing Spark jobs before any migration so compute savings are real, not theoretical.
Spark optimisation informs every Serverless migration
Delta Lake
Delta Lake's ACID transactions and Z-Order clustering are what make Serverless compute fast and Genie accurate. We implement Medallion Architecture pipelines — Bronze ingestion through to Gold business-ready tables — optimised for low-latency SQL Warehouses and AI/BI Genie queries.
Required foundation for Genie and AgentBricks
Serverless Compute
Classic compute clusters leave money on the table. Serverless eliminates cluster management overhead, auto-scales to workload demand, and charges only for compute consumed — no idle DBUs, no cold-start tuning. We audit your existing cluster configurations and migrate workloads to Serverless for immediate, measurable cost reduction.
Typical savings: 30–50% on compute spend
Genie & AgentBricks
Genie turns your Databricks tables into a conversational interface — business users ask questions in plain English and get answers without writing SQL. AgentBricks lets you build autonomous data agents that trigger actions and orchestrate workflows directly on Databricks, with no separate AI infrastructure required.
Built on your existing Databricks environment