Your Legacy Estate.
One Modern Lakehouse.
We migrate legacy BI, ETL, and warehouses to Databricks,
then build the agents that put your data to work.
A Trusted
Databricks Partner.
Where legacy stacks end, the Lakehouse takes over. Ten modernization tracks run by certified practitioners on the same platform that powers AlchemyLake, EvidAI, FreightCortex, and the rest of the Zorost portfolio.
Individual Databricks practitioner certifications held in-house
Why Databricks
Six forces on every modernizationFederal agencies modernizing legacy reporting, manufacturers consolidating quality data, pharma teams unifying evidence pipelines, freight platforms serving real-time analytics: the same five forces converge on the Databricks Lakehouse with Mosaic AI. The question is not whether to modernize. It is how to modernize without breaking what works.
One platform
SQL, ML, streaming, and agentic AI on one governed lakehouse instead of five disconnected stacks.
Open formats
Delta Lake and Iceberg at the data layer. No lock-in where it matters most.
Unity Catalog
One governance and lineage plane across tables, files, models, and functions.
Mosaic AI
Vector search, model serving, AI gateway, and agent framework native to the lakehouse.
Economics
Measured FinOps so modernization pays for itself. Typical TCO reductions of thirty to sixty percent versus legacy estates for equivalent workloads.
Agent-ready
Genie, Agent Bricks, and MCP surfaces make governed data callable by agents. A modernized estate is not just reportable, it is ready for the agentic era.
Reference Architecture
Consumption to ingestionThe Practice
Ten modernization tracksEach track ships as a fixed-price assessment, a fixed-price implementation, and optional managed operations. Deliverable on Azure, AWS, and GCP.
Legacy BI Migration
OBIEE, Cognos, MicroStrategy, and BusinessObjects estates rebuilt on Databricks SQL with governed semantic layers and modern consumption in Power BI or Tableau.
Related Signal (when published) >>ETL Conversion
Informatica, SSIS, DataStage, and Talend pipelines converted to Lakeflow, Spark, and DLT with expectations, quarantine, and lineage built in.
Related Signal (when published) >>Dimensional Modeling on Delta
Star and snowflake schemas, slowly changing dimensions, and performance engineering on Delta Lake with conformed dimensions across the estate.
Related Signal (when published) >>Streaming on the Lakehouse
Auto Loader, DLT, and structured streaming for event hubs, Kafka, and cloud object notifications on one engine with batch parity.
Related Signal (when published) >>Unity Catalog Governance
Row and column security, lineage, audit, and access control mapped from legacy BI roles to a single catalog plane.
Related Signal (when published) >>Production ML & MLOps
MLflow, Feature Store, model registry, and calibration discipline for models that ship with governance, not as side projects.
Related Signal (when published) >>Mosaic AI & RAG
Vector search, model serving, and AI gateway patterns for production-grade retrieval on governed lakehouse data.
Related Signal (when published) >>Agentic Workflows
Multi-agent workflows on Mosaic AI Agent Framework with tools, evaluation, and guardrails wired to Unity Catalog.
Related Signal (when published) >>BI Modernization
Power BI Direct Lake and Tableau on Databricks SQL: semantic models, time intelligence, and report rebuild at scale.
Related Signal (when published) >>Cost Optimization & FinOps
Warehouse economics, cluster right-sizing, serverless migration, and chargeback models so the platform funds its own modernization.
Related Signal (when published) >>Proven on Production Platforms
We run what we sellAlchemyLake
Lakehouse-native creative production installed in your workspace
Explore platform >>EvidAI
Evidence pipelines on governed data
Explore platform >>FreightCortex
National freight intelligence at lakehouse scale
Explore platform >>AeroFarr
Aviation fusion and prediction in production
Explore platform >>We modernize the platform, then prove it with applications that run on it.
Databricks Signals
25 published · page 2 of 2Power Bi Direct Lake on Databricks SQL: a Modernization Playbook
Production ML on Databricks: Mlflow, Feature Store, Calibration
Building Multi-Agent Workflows on Databricks (mosaic AI Agent Framework)
Production-Grade RAG on the Lakehouse with Mosaic AI Vector Search
Unity Catalog: Governance Done Right
Streaming on the Lakehouse: Auto Loader + DLT in Practice
Dimensional Modeling on Delta Lake — and When to Choose Data Vault Instead
Modernizing ETL: Informatica/ssis/datastage to Lakeflow + DLT
OBIEE to Databricks: a Practical Migration Pattern
Every Databricks Modernization post
How we engineer it
Talk to the engineers
Serving those who
need to stay ahead.
We don't pitch slide decks. We show you what we've already built in your domain, then engineer what your mission requires.
