Databricks Deployment Services

Deploy Lakehouse, Unity Catalog, and MLflow the right way—secure, governable, and cost-aware from day one.

Request a Lakehouse Readiness Review
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iconTechnology Stack
  • Workspaces
  • Unity Catalog
  • Delta Live Tables
  • MLflow
  • Photon
  • Terraform
  • GitHub Actions
  • Delta Sharing
  • Immuta
  • Privacera

Databricks, Production-Grade

Workspace & Terraform Foundations

Tooling rail: workspaces • SCIM • Terraform modules

Edge: Environment parity and repeatable provisioning.

Unity Catalog & Security

Tooling rail: UC • metastore • ABAC/RBAC • data masking

Edge: Policy-as-code with auditable access tiers.

Delta Lake & DLT Pipelines

Tooling rail: Delta • DLT • expectations • medallion

Edge: SLA’d bronze/silver/gold with observability hooks.

MLflow & Feature Stores

Tooling rail: MLflow registry • feature store • serving

Edge: Qμβrix™ sets latency/cost/quality SLOs for LLM/ML.

Cost Governance & FinOps

Tooling rail: cluster policies • serverless • spot policies

Edge: Budget caps, auto-shutdowns, and usage telemetry.

BI & Sharing Integration

Tooling rail: SQL endpoints • Delta Sharing • semantic layers

Edge: Certified datasets for Power BI/Tableau/Looker.

Our Clients

Clients that trusted Us

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Methodology

Assess & Blueprint Architecture

Target lakehouse in 2–3 weeks

Build & Secure Governance

UC + pipelines + policies live.

Operationalize FinOps

Runbooks, SLOs, cost dashboards

Lakehouse with guardrails

Catalog, security, FinOps—and value tracking from day one.

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  • Unity Catalog and policy-as-code
  • DLT pipelines with expectations
  • MLflow registry & feature stores
  • Cost policies and budgets enforced
  • Certified BI integration

Assurance Strip

Foundational safeguards ensuring compliance, accountability, and operational integrity.

UC Use Case documentation capturing objectives, requirements, and expected outcomes for AI initiatives
Lineage Tracking the origin, transformations, and flow of data and models to ensure transparency and auditability
SLOs Service-level objectives defining operational performance targets and reliability standards for AI systems
FinOps Implementing financial operations practices to control costs, optimize resources, and maintain budget accountability

Boardroom Kit

Executive tools to govern, track, and fund AI initiatives responsibly.

UC Hardening Guide Best practices for securing, optimizing, and validating AI use cases to ensure reliability and compliance
DLT Expectations Pack Defined standards and guidelines for distributed ledger technology usage, performance, and governance
MLflow Registry SOP Standard operating procedures for registering, versioning, and managing machine learning models in MLflow
FinOps Policy Set Comprehensive policy framework to govern financial operations, cost optimization, and cloud resource usage

Get Started – AI Efficiency with
Proven Performance

Accelerate AI workloads with rigorously tested Quantum-Inspired Neuromorphic AI.

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Services
United States

Strategemist Corporation
16192 Coastal Highway Lewes, Delaware 19958

United Kingdom

Strategemist Limited
71-75 Shelton Street,Covent Garden, London, WC2H 9JQ

India

Strategemist Global Private Limited
Cyber Towers 1st Floor, Q3-A2, Hitech City Rd, Madhapur, Telangana 500081, India

KSA

Strategemist - EIITC
Building No. 44, Ibn Katheer St, King Abdul Aziz, Unit A11, Riyadh 13334, Saudi Arabia