Enterprise Data Services - Powered by ReOrc Studio

Build, Modernize, and Run Your Enterprise Data Stack — End-to-End.

AI-READY + ENTERPRISE DATA FOUNDATION

With ReOrc, we design, implement, and operationalize AI-ready data foundations that accelerate delivery, enforce best practices, and scale with your business. Choose to run on ReOrc Studio, open-source frameworks, or your own tech stack with full flexibility and no lock-in.

Strategy-First Thinking

We start with your business goals, not your tech stack, aligning data strategy to company priorities so every effort drives measurable outcomes.

Built for Independence

We design, build, and train your team to run the data stack confidently, so you’re never locked into bloated retainers or black-box systems.

Fast Results, Solid Foundations

Our AI-accelerated approach delivers quick wins in weeks, while building scalable architecture you can rely on for years.

One Source of Truth

We unify data, metrics, and workflows so every team can make decisions from the same trusted foundation, powering analytics, dashboards, and future AI agents.

How We Deliver Data Capabilities

Data Consultancy

Align your data strategy with your business goals.

We start by understanding your business model, existing systems, and long-term goals to design the right data architecture and roadmap.

Requirements elicitation and stakeholder interviews

Assess current systems, identify strengths and gaps

Propose future-state architecture and tooling

Prioritize backlog and align delivery with business success

Data Collection

Bring all your data together in one place.

Once the architecture is defined, we consolidate your raw data from all sources into a centralized environment.

Set up data pipelines using ReOrc Studio or existing ingestion tools

Integrate data from SaaS platforms, internal systems, and cloud services

Implement monitoring and logging for ingestion reliability

Data Foundation Setup

Turn raw data into analytics-ready datasets.

We transform raw data into structured, governed models that power analytics and future AI agents.

Design and deploy your data warehouse (cloud or on-prem)

Architect layered data models

Set up transformation frameworks (e.g. dbt or ReOrc Studio)

Build automated tests (unit, integration) for quality control

Implement CI/CD pipelines for data model orchestration

Data Activation

Turn analytics-ready data into real business value.

We help you activate your data by delivering insights to your teams and embedding data into business workflows.

Scope and deliver reporting products (dashboards, KPIs, etc.)

Choose and configure BI tools

Embed analytics outputs into AI agents, dashboards, and operational systems

Design team structure aligned with your data strategy

Handover & Operational Model

Choose the model that fits your business, no lock-in, full flexibility:

ReOrc as a Managed DevOps Platform

Use ReOrc Studio as a managed data DevOps platform with no operational overhead.

Open Source Stack

We implement your stack fully on open-source frameworks like dbt, Airflow, Cube.dev, giving you transparency, flexibility, and community-backed innovation.

Client Tech Stack

Prefer your own tools? We build and run everything on your chosen infrastructure (Snowflake, BigQuery, Azure, etc.), ensuring alignment with your internal standards.

ReOrc Studio

Your Data Foundation, Built Right from the Start

ReOrc Studio is the engine that powers your data journey. Instead of stitching together multiple tools or reinventing the wheel, ReOrc Studio provides a ready-to-use foundation that accelerates every stage of data management: ingestion, modeling, orchestration, governance, and quality assurance.

All-in-One Platform

Manage the full data lifecycle without juggling tools or custom glue code

Faster Time-to-Value

Launch analytics-ready data in weeks, not months

Scale with Confidence

Data quality control, observability and data governance built-in from day one

No Lock-In

You can migrate to open-source frameworks later for full flexibility

Frequently Asked Questions

Still have questions?

Reach out to our team any time

Building an in-house stack usually takes 6–12 months, requires a dedicated engineering team, and creates ongoing maintenance overhead. Along the way, you risk technical debt, inconsistent metrics, and governance gaps that slow adoption. ReOrc Studio provides battle-tested foundations out of the box, so your team can skip the plumbing and focus on delivering insights and business value. And if you already have a preferred tech stack, we’re fully open to adapting and implementing with the highest quality standards.

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Both. We can design and implement your entire data stack end-to-end using ReOrc Studio, open-source frameworks, or your preferred technology. We also offer team training to make you fully self-sufficient, our philosophy is “Hire us to fire us.” With ReOrc Studio, you save significant time and cost by bringing data closer to your business faster, though you also have the option to build everything on your own tech stack, which typically requires more time and higher costs.

ReOrc Studio provides the foundation, a reliable data platform that unifies ingestion, modeling, orchestration, governance, and quality. On top of this, our ReOrc Data Agents leverage that foundation to deliver AI-powered insights, proactive analytics, and automated workflows.

In other words, ReOrc Studio ensures your data is trusted and analytics-ready, while Data Agents turn that data into actionable intelligence for business teams.

Depending on scope, the initial setup takes 2–8 weeks (data ingestion, modeling, semantic layer). Advanced models and dashboards can be added in later phases.

Yes. We adapt to your environment (AWS, GCP, Azure, dbt, Airflow, Cube.dev, etc.) or modernize your legacy systems.

Studio enforces data tests, validation rules, and CI/CD pipelines, ensuring that your data is reliable, consistent, and trusted before reaching business users.

Build, Modernize, and Run Your Enterprise Data Stack — End-to-End.