AI & ML
Analytics & AI Solutions
Data Engineering
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As a Databricks Select Consulting Partner, we are your trusted guide in transforming how your organisation thinks about data and AI. Whether you’re modernising legacy systems, building scalable platforms, or looking to deploying cutting-edge AI, we’ve got you covered at every step of the way.
We are equipped to assist you at every stage of your Databricks journey. From initial strategy and solution architecture to hands-on development and ongoing operations, we ensure your data platform on Databricks is powerful, reliable and scalable.
Successes
Delivering AI at Scale
60+
Databricks Certified Experts
25+
GenAI Engineers
500+
Live Data Pipelines
10+
TB of Data Processed Daily
20+
ML Models Deployed
$100M+
Value Delivered
VIEW CASE STUDY
Our Capabilities
Explore Our Databricks Partnership
Our expertise enables seamless AI-driven transformation—turning raw data into real business impact.
Implement Lakehouse architecture, predictive analytics, and ML Ops to drive AI innovation at scale.
Accelerate AI pipelines with real-time data processing and automated machine learning workflows.
Optimise data processing, analytics, and governance using Databricks’ unified platform for AI-driven decision-making.
Scalable AI solutions for enterprise automation.
Seamless deployment and monitoring of machine learning models.
Build a Relational Data Store using RDS, Aurora, Redshift, and Glue, ensuring a scalable, optimised foundation for structured data management.
Align effortlessly with industry standards.
OUR ACCELERATORS
Looking to Migrate to Databricks?
We provide migration accelerators from Synapse, Snowflake, Redshift, SQL Server - to Databricks
We offer a comprehensive suite of services to ensure your Databricks projects are successful from start to finish:
We get your team started on the right foot. Structured onboarding and hands-on enablement sessions help your organisation quickly set up and running with Databricks. We also provide technical support in setting up the underlying cloud infrastructure, so you have a solid foundation from day one.
We design and implement scalable data architectures using Databricks’ best practices that include Delta Lake, Apache Spark, MLflow for machine learning lifecycle, and CI/CD pipelines for automated deployments. Our tailored frameworks and templates accelerate development, so you get production-ready platforms with measurable business benefits, faster.
Secure and govern your data effortlessly. We help you establish centralised data governance using Databricks Unity Catalog and Lakehouse security features. Implement multi-tenant access controls, role-based permissions, data lineage tracking, and audit trails to ensure governed access data.
We implement production-grade MLOps capabilities to ensure your ML models remain accurate and reliable. From deployment to post-production, we enable model monitoring, versioning, and retraining workflows on Databricks. Using automated alerts mechanism for Data drift detection, accuracy drop in model performance can be detected rapidly.
We design and deploy secure, chat-based assistants, workflow automations, and embedded GenAI features built natively on the Databricks Lakehouse. Using proven RAG patterns, vector search and model serving, we connect seamlessly to your enterprise knowledge base, ensuring the responses are grounded in your data and governed by Unity Catalog.
Exponentia.ai works as your strategic partner for all things Databricks. From new use case development and ongoing platform administration & support to periodic health checks, feature updates- we continually collaborate with our clients to deliver value.
We provide a pragmatic, Databricks-native path to ship real GenAI experiences that are grounded in your data and governed end-to-end.
Databricks-native accelerators cut cost and time-to-value, moving from idea to impact within weeks.
Run chat assistants, workflow automations, and embedded GenAI on a single Lakehouse platform.
Built-in observability, guardrails, and CI/CD take solutions safely to production and keep them reliable and compliant.
Use the models you prefer, and we plug them into your existing stack so your GenAI strategy can evolve freely.
Built entirely on Databricks across all three hyperscalers.
A foundation platform for productionising GenAI use cases across industries
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We stand up a production-ready Databricks Lakehouse within just 4 weeks with prebuilt modules that automate data flow, assure quality, and keep costs visible.
Pull sources continuously and reliably, reducing manual effort and accelerating time to insight.
Validate pipelines from source to consumption, catching issues early and keeping trust high.
Preserve change history and business context so downstream analytics stay accurate.
Track usage and surface savings opportunities so spend stays in check.
Reusable, modular components
Scalable & customisable architecture
Consistent, Efficient, Auditable & Traceable
We help you modernise your SAP’s rich business context inside Databricks so you can run governed, real-time analytics and AI applications with the help of our GenAI accelerators.
Bring SAP’s structured business data together with your wider estate on the Databricks Lakehouse for a single, governed source of truth.
Build curated data products that reflect end-to-end business processes and enable consistent reporting.
Gain lineage, fine-grained access controls, and full auditability across users, teams, and workloads.
Replace brittle ETL with CDC/ODP-based ingestion that keeps downstream models and dashboards always current.
Forecast, optimise, and detect anomalies at scale—operationalised with MLflow and Databricks Model Serving.
Run seamlessly across AWS, Azure, and GCP with Databricks’ elastic architecture.
Agentic workflows on RAG architecture
NLP-based consumption layer for data dialogue
Decision intelligence & operational AI
Move from Hive Metastore to Unity Catalog with a Databricks-native approach that boosts governance, security, performance, and scalability. Using UCX’s three migration workflows, we upgrade non-UC workspaces quickly and safely, enabling fine-grained access control, dynamic data masking, and unified visibility across your data and AI assets.
Cut timelines with UCX automation. Assessments, mapping, and table conversions done faster.
Preserve users, groups, privileges, and ownership moving from Hive Metastore to Unity Catalog.
Track progress, policy coverage, and costs with real-time visibility end-to-end.
Dry-runs and phased cutovers with full auditability and rollback across environments.
Migrate managed, external, Delta, and legacy Hive tables without redesign.
Automated Assessment Engine
Group & Permission Migration
Automated Table Conversion
Harness Databricks to build a robust price-prediction engine, delivering accurate, actionable insights for your pricing strategy. We enable end-to-end, Databricks-native MLOps with production-grade monitoring, model versioning, and automated retraining so your models stay reliable and high-performing in the real world.
Design, schedule, and monitor data and ML pipelines in Databricks with reliable, auditable runs.
Develop, serve, and share data and models on a single governed platform with fine-grained access.
Serve online and offline features from the same definitions to keep training and inference aligned.
Track experiments, versions, lineage, and approvals so models are repeatable and compliant.
Autoscale to meet demand with batch and real-time serving for low-latency, high-throughput workloads.
Experiment Tracking & Model Registry
Automated Model Deployment
Data Pipeline Orchestration
Are you ready to modernise your data platform? We help you simplify legacy data warehouse migration by assessing, converting, and validating code and integrations.
Scans your existing systems to identify code patterns, complexity and dependencies. Helps determine what can be auto-converted vs manually adjusted.
Automatically generates Data Definition Language scripts for consistent and error-free schema creation in Databricks.
Transforms legacy SQL into Databricks SQL (DB SQL) up to 5x faster, with precision and structure retention.
Compares data across layers to detect mismatches and ensure completeness. Supports governance and accuracy.
Migrate complex ETL and diverse data sources.
Understand effort and cost upfront.
Boost Line of business (LOBs) confidence
SOLUTIONS
We have a suite of pre-built accelerators and solution frameworks built on Databricks, designed to integrate with your existing data platforms and fast-track value realisation
Our Gen AI-powered enterprise business analyst is built on Databricks and enables efficient analysis & insight generation from both structured & unstructured data through natural language processing in a secure and scalable manner. This accelerator can be rapidly deployed onto your existing environment in 4 Weeks*.
An industry-focused accelerator for procurement spends analytics, PSA combines your spends data on Lakehouse with GenAI to uncover cost savings opportunities, supplier risks, and efficiency improvements in your procurement supply chain. Deploy PSA in your environment in less than 6 weeks*.
Our Generative AI governance and validation framework is built on top of Databricks. As you develop AI models and capability in your organisation, GenTrust tests for compliance, data security, accuracy, and bias in the model outputs. This GenAI based testing framework ensures any AI models you deploy are responsible, secure, reliable, and enterprise ready.
Contact
Want to find out more about how our services can transform your business? Fill out the form on the right and our team will get back to you as soon as possible.
Want to find out more about how our services can transform your business? Fill out the form below and our team will get back to you as soon as possible.
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