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The latest in infrastructure, technology, and security
From emerging innovations to real-world applications, we cover what helps leaders navigate complexity, drive transformation, and make smarter decisions in a rapidly evolving landscape.
Data Center Infrastructure
Enhance your data center infrastructure with tailored solutions that boost performance and efficiency, ensuring rapid growth and exceptional customer experiences.
Cybersecurity
Fortify your operations with comprehensive cybersecurity solutions that deliver resilient protection and end-to-end risk mitigation.
Managed Cloud Services
Align your cloud strategy with your business objectives through our end-to-end managed services, delivering expert oversight across infrastructure, data optimization, and cost control.
Cloud Adoption
Adopt the cloud confidently with expert guidance on capacity, cloud-native technologies, and a step-by-step path for successful migration.
DevOps
Energize your software development lifecycle with tailored DevOps to match your needs and workflows.
Data Analytics
Successfully adopt advanced analytics capabilities to unlock insights, inform the design of your products, and make smarter decisions.
Artificial Intelligence
Leverage Artificial Intelligence to generate actionable insights, uncover new revenue opportunities, and drive more informed decision-making.
Application Modernization
Modernize your applications with advanced development methodologies, driving greater agility, efficiency, and continuous innovation to excel in today’s competitive environment.
Data Analytics
The gap between your analytics and your AI is a data foundation problem.
Redapt starts with the business decisions and AI outcomes you need to support, then builds the data architecture, analytics layer, and governance to deliver them — not the other way around.
Best-in-class solutions with world-class partners:
WHY REDAPT
We start with the decision, not the platform
Most data engagements begin with a tool selection. Redapt's begin with the business decisions the data has to support. We work backward from the outcome — what changes when the data is right — and design the platform, the governance model, and the use-case roadmap to deliver against it. No strategy decks without execution attached.
We design for the platform you'll need in three years, not just the one you have today
Snowflake. Databricks. Microsoft Fabric. BigQuery. Lakehouse architectures spanning multiple clouds. We design data architectures that preserve your leverage and are built to support AI from day one — feature pipelines, semantic layers that serve both your BI tools and your RAG applications, and model-ready data products your AI teams can actually use. So when your AI strategy, your M&A integration, or your regulatory requirements shift, your data foundation supports the new direction instead of locking you to a single vendor’s roadmap.
Operational depth across 50+ managed data & analytics customers
We operate analytics programs in production today across Azure, AWS, and Google Cloud — not just design them on a whiteboard. The patterns work because we've seen what breaks them.
OFFERINGS
Most Data & Analytics engagements begin from one of these starting points. Every engagement is scoped against your specific data environment, platform investments, and use-case roadmap. If your situation does not map clearly to one of these, the Discovery Conversation is the right first call.
Platform Modernization
Migrate and modernize legacy data warehouses and EDW workloads to reduce cost, improve manageability, and build a foundation that scales for AI — on the platform that fits your architecture and cloud investments.
Data Architecture & Lakehouse Build
Design and implement the data architecture your organization needs to support AI use cases, regulatory requirements, and cross-team self-service — from ingestion and transformation through governance and delivery.
Self-Service Analytics & Reporting
Turn fragmented data sources into governed dashboards and reports the business actually uses — with clear data ownership, lineage, and access controls that prevent sprawl and enable adoption.
AI Data Foundation & Readiness
Most AI initiatives stall because the data isn’t ready — not because the model is wrong. We map the data your AI programs require, assess quality and governance gaps, and build the foundation — pipelines, semantic layers, and model-ready data products — that move your AI from pilot to production. Data and AI teams work on the same engagement.
Data Governance & Lineage Program
Governance built into the data pipeline — not bolted on afterward. We implement catalog, lineage, access tiering, and PII controls as architectural constraints, enabling self-service analytics and AI adoption while satisfying audit, compliance, and regulatory requirements from day one.