Data platform strategy
We assess your current data estate and design a Lakehouse target architecture and roadmap tied to the analytics and AI outcomes you actually need.
Outcome-led architectureData and AI, unified on Databricks.
Brainvire is a Databricks partner that builds the Lakehouse foundation for enterprise analytics, machine learning, and generative AI — so your data works as one governed platform instead of a dozen disconnected silos.
14+Years engineering enterprise software
1,000+Engineers, architects & data specialists
2,000+Brands served worldwide
95%Client retention
/ Built on the Lakehouse
One Lakehouse for analytics, ML, and generative AI.
Fragmented data stops AI before it starts. On the Databricks Lakehouse we bring engineering, analytics, and machine learning onto one governed platform, so the same trusted data powers your dashboards, your models, and the AI you put in front of customers.
Foundation
Lakehouse architecture
A single governed platform on Delta Lake and Unity Catalog that replaces the split between data lakes and warehouses — one source of truth, secured and lineage-tracked.
Engineering
Data engineering & pipelines
Reliable, incremental ingestion and transformation with Delta Live Tables, so analytics and ML run on fresh, quality-checked data.
ML & MLOps
Machine learning at scale
Model training, tracking, and deployment with MLflow, plus the MLOps to keep models monitored and reproducible in production.
GenAI
Generative AI on your data
RAG, vector search, and Mosaic AI to build governed generative-AI applications grounded in your own enterprise data.
Trusted by enterprise commerce leaders worldwide
/ What we build on Databricks
From data foundation to production AI. One accountable team.
A full path from data strategy to running machine learning and generative AI, delivered by the same team that has engineered enterprise systems for 14+ years, with governance built in from day one.
Lakehouse implementation & migration
Stand up Databricks on your cloud and migrate off legacy warehouses and lakes, with validated data and no loss of history or lineage.
Low-risk migrationData engineering & pipelines
Production ingestion and transformation pipelines on Delta Live Tables, with quality checks so downstream analytics and models can trust the data.
Quality-checked pipelinesMachine learning & MLOps
Feature engineering, model training, and MLflow-based deployment and monitoring, so models ship, stay accurate, and stay reproducible.
MLflow-based MLOpsGenerative AI & analytics
Governed GenAI apps and BI on the same platform — RAG, vector search, and dashboards grounded in one trusted set of data.
Governed GenAI & BIGovernance & Unity Catalog
Central access control, lineage, and auditing with Unity Catalog, so data and AI stay secure, compliant, and explainable.
Secured & lineage-tracked/ Data & AI in production
Lakehouse and AI work we've taken to production.
Representative enterprise engagements, anonymized. Each shows the pattern we deliver on Databricks: one governed platform where the same trusted data powers analytics, machine learning, and generative AI.
[Lakehouse]
Unity Catalog governance + demand-forecasting ML
A global manufacturer unifies data and forecasts demand
We consolidated fragmented sources onto the Databricks Lakehouse with Unity Catalog governance, then built a demand-forecasting pipeline on top. The business moved from siloed reporting to a single governed source of truth with production-grade forecasts.
Talk to our data team →
[MLOps]
Data engineering + model deployment modernization
A life-sciences organization moves models out of notebooks
We modernized data engineering and MLOps on Databricks, taking models stuck in notebooks into monitored, repeatable production pipelines with MLflow, so data science work reaches operations reliably.
Talk to our data team →
[GenAI]
Generative AI grounded in the Lakehouse, with governance
A financial-services firm grounds AI in trusted data
We built a governed generative-AI knowledge layer on the Lakehouse — RAG and vector search over permissioned data with evals and guardrails — so answers are accurate, auditable, and compliant.
Talk to our data team →
/ Next step
Let's turn your data into a platform for AI.
A 30-minute working session with a Brainvire data architect: your Lakehouse target state, the fastest path off legacy silos, and where analytics and AI pay back first, on one page.
Book a Working Session →