Cloud migration consulting that turns legacy data platforms into a cloud-native AI advantage
We design, build and operate cloud data migration solutions that move your analytics, AI and BI workloads from on premise to cloud-native and multi cloud data platforms – safely, fast and with measurable cost savings.
Cloud migration consulting that turns legacy data platforms into a cloud-native AI advantage
We design, build and operate cloud data migration solutions that move your analytics, AI and BI workloads from on premise to cloud-native and multi cloud data platforms – safely, fast and with measurable cost savings.
Cloud migration consulting that turns legacy data platforms into a cloud-native AI advantage
Is your cloud migration supposed to cut costs and unlock AI, but instead feels risky, slow and impossible to execute without breaking critical reports and operations? Modernizing from on premise to cloud data platforms often stalls because of unclear ownership, underestimated complexity and fear of outages. Teams see overlapping tools, fragile pipelines and compliance concerns, so data migration to the cloud becomes a series of tactical fixes instead of a structured, value-focused transformation.
Who gets the most value from cloud migration
What We Deliver
Cloud data migration factory and automation
We set up a reusable cloud data migration factory that standardizes how you move schemas, pipelines, dashboards and machine learning workloads into cloud native AI platforms.
Cloud agnostic and multi cloud data platform design
Our architects design cloud agnostic data platforms that run on Google Cloud, Azure, AWS or hybrid, using containerization and multi cloud orchestration so you are not locked into a single provider.
From on premise and big data to modern data lakes
We help you migrate traditional on premise data warehouses, Hadoop clusters and bespoke big data platforms into modern, elastic data lakes and lakehouses in the cloud.
Cloud data migration testing and quality-by-design
We build robust cloud data migration testing into your pipelines: automated reconciliation, schema checks, performance benchmarks and data quality rules that run from dev to production.
What We Deliver
Step 1 — Discovery and Scoping
We align business goals, KPIs, priority lines, use cases, and constraints with service, operations, digital, and IT stakeholders.
Step 2 — Data and Telephony Assessment
We review sample data, telephony setup, routing logic, and system dependencies to identify the best first use case.
Step 3 — Design and Build MVP (6-8 weeks to first outcome)
We design conversation flows, implement integrations, configure guardrails, and launch the first production use case.
Step 4 — Adoption and Scale
We optimize real data and expand to more lines, markets, and languages.
How Collaboration Looks in Practice
Meet our results
What our clients say
Anonymous
CEO, Sports Analytics Company
Maciej Mościcki
CEO, Macmos Stream
Selected Clients
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Book a 30-minute consultation about your cloud migration
Business Impact
Business Impact of Migration to Cloud
Infrastructure cost reduction
30–50% infrastructure cost reduction over 3 years by decommissioning on premise data centers and rightsizing cloud compute and storage.
Faster delivery of analytics and AI
2–3x faster delivery of new analytics and AI use cases thanks to standardized data migration on cloud, reusable patterns and automated testing.
Fewer incidents on reporting and data pipelines
40–60% fewer incidents on reporting and data pipelines after migration, due to built-in quality checks, observability and clear ownership.
Faster region and acquisition integration
Weeks instead of months to roll out cloud to cloud data migration for new regions or acquisitions, accelerating integration and time-to-value.
Higher data adoption across business units
Measurably higher data adoption across business units as users gain a single, trusted multi cloud data platform instead of fragmented legacy systems.
Drop us a line and check how Data Engineering, Machine Learning, and AI experts can boost your business.
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Discover our insights
From fragmented legacy systems to a cloud-native, multi cloud data platform you can scale and govern
Cloud data migration factory and automation
Cloud agnostic and multi cloud data platform design
Data Lake Migration
Cloud data migration testing and quality-by-design
Let’s talk and work together
We’ll get back to you within 4 hours on working days (Mon – Fri, 9am – 5pm CET).
Service Delivery Partner
We start with a discovery and assessment phase, define a phased data migration to cloud strategy, and implement layered controls.
Reference architectures
Automated cloud data migration testing
Clear rollback plans
Real-time data migration reporting dashboards for your stakeholders
Yes, we design cloud agnostic architectures that span on premise, private cloud and multiple public clouds.
Yes, we design cloud agnostic architectures that span on premise, private cloud and multiple public clouds, using containerization and multi cloud orchestration so workloads can run where they are most secure and cost-effective.
Not necessarily; we often integrate your existing data migration cloud tooling into a broader cloud data migration solution.
Fill capability gaps
Standardize patterns so teams work with a consistent playbook rather than isolated scripts
We apply FinOps and performance engineering practices from day one.
Right-sizing
Workload scheduling
Storage optimization
Continuously benchmark your big data cloud and data lake environments against agreed SLAs and budgets
We have deep experience in Google Cloud but also deliver migrations on Azure and AWS.
We have deep experience in google cloud data migration, but we also deliver migrations on Azure and AWS and often run cloud to cloud data migration between providers as part of broader modernization programs.