Modernize Your Data Foundation for the AI Era
We help enterprises break free from legacy data platforms and rebuild on modern, cloud-native foundations designed for speed, flexibility, and intelligence.
The Strategic Reality
Most enterprise data platforms were built for a different era
What once accelerated analytics now constrains innovation. The world has changed. Your data architecture needs to change with it.
Platforms like Informatica, Talend, and SSIS solved yesterday's problems. Today, they create friction:
- Escalating licensing costs
- Rigid transformation logic
- Opaque dependencies
- Vendor lock-in
- Slow iteration cycles
- Limited adaptability for AI workloads
Our Philosophy
We don't migrate platforms. We eliminate the ones that are holding you back — and build something your team can actually own, operate, and evolve without calling us.
The Stack Comparison
What you're leaving behind. What you're building toward.
Legacy Architecture
Informatica / Talend / SSIS
GUI-based, opaque transformation logic
Monolithic ETL pipelines
Thousands of tightly-coupled mappings
On-premise or lifted VMs
No auto-scaling, high maintenance burden
Vendor lock-in
Expensive licensing, slow release cycles
Weeks to change a pipeline
High regression risk, no unit testing
Minimal observability
Failures discovered downstream, not at source
Modern Architecture
dbt + Snowflake / Databricks
Code-first, version-controlled transformations
Modular, testable pipelines
Independent units with clear ownership
Cloud-native infrastructure
Auto-scaling, pay-as-you-go compute
Open standards
No vendor dependency, portable logic
Days to iterate
CI/CD, automated testing, safe deployments
Full observability
Lineage, quality checks, alerting built in
AI-Assisted Migration
Automated analysis of legacy mappings — not manual rewrites.
Informatica Exit Strategy
Breaking Free from Informatica
For many enterprises, Informatica has become deeply embedded — powering hundreds or thousands of mappings. That creates fear: it's too complex to untangle, it would take years, we don't even know what all the dependencies are.
That fear is why most organizations stay stuck. We solve that problem — not with brute-force manual rewrites, but with automation and intelligence.
Our AI-assisted inspection tools:
- Parse and analyze legacy mapping structures
- Extract transformation logic and dependencies
- Identify redundancies and optimization opportunities
- Generate modern equivalents in modular, testable formats
- Surface high-risk edge cases for targeted review
AI doesn't just power your future stack. It accelerates your exit from the past one.
How It Works
A structured path from legacy to modern
Discovery & Assessment
We audit your current data platform — mapping dependencies, cataloging pipelines, and identifying the highest-risk and highest-value migration targets.
Typical output: a complete dependency map of your environment, often revealing consolidation opportunities and cost savings that justify the migration before a single line of code is written.
Exit Strategy Design
We design a phased migration roadmap — sequencing workloads to minimize risk and deliver early wins while systematically replacing the legacy layer.
You receive a migration plan that your CFO and CTO can both read. Phase 1 delivers measurable value before Phase 2 begins.
AI-Assisted Migration Build
Our tooling parses your legacy mappings and generates modern equivalents, dramatically accelerating the migration while preserving business logic.
The majority of mappings are auto-converted and test-covered. The remainder are flagged for targeted engineering — so your team spends time on what matters.
Architecture Optimization
We don't just replicate — we improve. Pipelines are simplified, consolidated, and redesigned for modularity and observability.
Clients consistently leave this phase with a simpler, leaner stack. Fewer pipelines. Clearer ownership. Less to break.
Enablement & Handoff
We document, train, and enable your team to own and operate the new platform — with confidence.
You own what we build. No residual dependency on Tiber to keep the lights on — that's a feature, not an oversight.
Architecting for the AI Era
Your modernized stack should support what's coming next
Modernization isn't just about escaping the past. The decisions you make today determine what's possible in three years.
Real-time Decision Systems
Architectures that support low-latency, event-driven decision making at scale — built on the foundations we helped you modernize.
Retrieval-Augmented AI
Data layers designed to serve as knowledge bases for RAG and AI applications. Your modernized stack becomes the intelligence layer.
Embedded Intelligence
Foundations that let AI capabilities be embedded directly into products and workflows — modular pipelines make this possible.
Scalable ML Workflows
Modern pipelines that support feature engineering, model training, and serving at scale — designed for iteration, not one-time deployment.
Secure Governed Access
Row-level security, data lineage, and compliance controls built into the modern stack from day one — not bolted on later.
Cloud-Native Infrastructure
AWS, Snowflake, dbt, and event-driven patterns — the best of the modern data stack, selected for your scale and team.
Legacy Platforms Solved Yesterday's Problems.
We help you build for tomorrow's. If your organization feels constrained by its data platform — it's time to evaluate your options.