Modernize: Move Beyond Legacy Data
Migrate complex platforms and workloads to Databricks while preserving business logic, data quality and confidence in the results.
From legacy modernisation to production AI, Palni helps enterprises build trusted data foundations on Databricks through data engineering, governance, analytics and industry focused solutions.
Palni combines Databricks engineering, industry understanding, accelerators and practical AI experience to address complex enterprise data challenges. We build foundations that support trusted reporting today and new intelligence use cases over time.
Build and modernise scalable data platforms, pipelines and data products that support reliable analytics and AI.
Learn moreConnect data initiatives to industry priorities, operating realities and business decisions.
Learn moreExplore conversational analytics, AI agents and intelligent workflows grounded in enterprise data.
Learn moreUse relevant prebuilt components to support migration, engineering and selected AI delivery needs.
Learn moreConnect the early decisions, engineering work and operating discipline needed to make enterprise data useful. Palni supports the journey from direction and architecture through delivery and ongoing improvement.
Define the data roadmap, architecture priorities and business case before committing to a delivery path.
Move legacy data environments to modern platforms through structured discovery, conversion and validation.
Build scalable pipelines, dependable ingestion and transformation, and trusted data products.
Strengthen access control, lineage, ownership, quality and governance across the data environment.
Turn governed data into reporting, analytics, machine learning and AI applications.
Improve reliability, performance, cost and scale as data products and usage grow.
Connect fragmented data, modernise critical platforms and put trusted intelligence into the hands of the people who need it.
Migrate complex platforms and workloads to Databricks while preserving business logic, data quality and confidence in the results.
Unify, reconcile and govern enterprise data so teams and AI agents can work from trusted information with the controls and lineage the business requires.
Bring governed analytics, GenAI, conversational experiences and AI agents together with enterprise context to deliver useful answers, applications and actions.
Short answers to what people ask us most. Still unsure? Ask us directly
Palni helps enterprises modernise data platforms, build trusted data products, strengthen governance and bring analytics and AI closer to enterprise data.
Modernize moves legacy data to Databricks. Trust unifies and governs it. Intelligence puts analytics, GenAI and AI agents to work on that governed data.
Yes. The AI Powered Data Migration accelerator automates Teradata migrations, and Security Migration moves Teradata security controls into Unity Catalog.
Usually with Advisory and Strategy: defining the data roadmap, architecture priorities and business case before choosing a delivery path.
Palni has more than 80 Databricks certified resources and more than 100 data engineers and AI practitioners.
Yes. Palni builds machine learning, GenAI, conversational analytics and AI agent use cases on governed Databricks data.
Talk to our Databricks experts about your data, modernisation or AI priorities. We can help you clarify the opportunity and identify the next practical step.