Build. Modernize. Scale.
Trelven helps organizations solve complex Data, AI, Cloud and enterprise technology challenges. From architecture and modernization strategy to hands-on engineering and production implementation — we help companies migrate legacy systems, build modern data platforms, modernize cloud infrastructure and implement AI-ready architectures.
Solutions
What we solve
Three capabilities where senior architecture and real engineering change the outcome — not slideware, but systems that run in production. They apply across every industry we serve.
Data & AI
Turn fragmented enterprise data into a scalable foundation for analytics, automation and AI. Modern data platforms, pipelines and AI-ready architecture.
ExploreCloud & Platform Engineering
Standardize and modernize enterprise software delivery across applications, environments and engineering teams — with reliability and governance built in.
ExploreMigration & Modernization
Reduce the repetitive engineering, validation and operational risk in complex enterprise migrations — with reconciliation and traceability throughout.
ExploreWhy Trelven
Strategy that can actually be implemented.
Most firms sell either advice or hands. Trelven combines senior consulting, architecture, hands-on engineering and reusable accelerators — so the recommendation and the working system come from the same team.
Architecture & engineering
Target-state architecture designed by people who will also build it. No handoff gap between the deck and the code.
Reusable accelerators
Frameworks and reference implementations for migration, data platforms and delivery that reduce repetitive engineering and risk.
From pilot to production
We prove the approach on something real, then scale it — instead of a big-bang program with an uncertain outcome.
Senior by default
Engagements led by people who have solved complex enterprise and regulated technology problems first-hand.
Outcome, not headcount
We are not a staffing desk. You buy a solved problem and a system that runs — not a stream of resources.
Long-term partnership
Start with a focused assessment; grow into implementation and ongoing engineering as trust and scope expand.
How we engage
Assess → Design → Prove → Implement
A model built to de-risk change. Prove the architecture on something real before committing to a large program — then scale with confidence.
Assess
Understand current architecture, systems, constraints, technical debt, risks and business objectives.
Design
Define target architecture, migration approach, operating model and a sequenced roadmap.
Prove
Build a focused pilot or representative implementation to validate the architecture before a large commitment.
Implement
Deliver the real production solution with senior, hands-on engineering.
Scale
Extend across repositories, teams, datasets, systems and business units.
Operate
Optional ongoing engineering, optimization, reliability and managed services.
Start small. Scale with confidence.
Start small
Begin with a focused assessment.
A low-risk first step that produces a real deliverable you keep — scored findings, a target architecture and a sequenced roadmap — whether or not you continue into implementation.
Architecture Assessment
Review your current architecture, constraints and technical debt against your business objectives.
Deliverable: target architecture + prioritized roadmap
Cloud & Platform Modernization Assessment
Evaluate AWS, Kubernetes, IaC and delivery patterns across applications and teams.
Deliverable: modernization plan + reference pipeline design
Data Platform Assessment
Assess your data estate, pipelines and warehouse for an analytics- and AI-ready foundation.
Deliverable: data platform blueprint + migration approach
Data Migration Assessment
Profile source systems, map complexity and de-risk a complex enterprise migration.
Deliverable: migration strategy + validation approach
AI & Data Readiness Assessment
Determine what it takes to make your data and platform ready for GenAI and AI workloads.
Deliverable: AI-readiness scorecard + architecture
Life Sciences Technology Assessment
Assess clinical, data and cloud modernization in a regulated environment.
Deliverable: modernization roadmap + risk view
Selected expertise
Technology we work in
A focused stack, chosen deliberately. We go deep where it matters for enterprise data, cloud and platform work — rather than claiming everything.
Cloud
- AWS
- Cloud-native architecture
- Environment automation
- FinOps & cost optimization
Platform
- Kubernetes & Amazon EKS
- Terraform / IaC
- GitHub Actions
- CI/CD modernization
Data
- Snowflake
- dbt
- Streaming / CDC
- Lakehouse architecture
Engineering & AI
- APIs & data products
- Python & Java
- LLM / GenAI integration
- AI-assisted delivery
Representative engagements
Problems we help solve
Illustrative of the work Trelven is built for. Representative engagement patterns — not specific client deliverables.
Modernize a legacy ETL estate into Snowflake and dbt without disrupting downstream consumers.
Standardize CI/CD across dozens of applications and repositories with reusable pipelines.
Migrate complex enterprise data while maintaining reconciliation and full traceability.
Build an AI-ready enterprise data platform as a foundation for analytics and GenAI.
Modernize AWS infrastructure using Kubernetes, Terraform and automated delivery.
Integrate fragmented clinical technology and data ecosystems in a regulated environment.
Consolidate applications and data after a merger or acquisition.
Move legacy applications toward modern, cloud-native architectures.
Industries
Built for your industry.
The same capabilities, shaped to the realities of your sector. We bring particular depth in Life Sciences — and apply the same data, cloud and migration engineering across technology, financial services and PE-backed enterprises.
Life Sciences
Biotech, pharma, CROs and clinical technology — modern clinical, data and regulated cloud, with validation and reconciliation taken seriously.
ExploreHealthcare Insurance
Payers and health insurers automating claims processing with ML, searching across claims data, and modernizing claims platforms on secure cloud.
ExploreTechnology & SaaS
Software and technology companies modernizing data platforms, cloud infrastructure and software delivery to scale reliably.
ExploreFinancial Services
Banks, insurers and fintechs modernizing regulated data, complex migrations and platforms — with control and evidence.
ExplorePE-backed & Enterprise
Portfolio companies and enterprises consolidating and modernizing legacy technology — often after a merger or acquisition.
ExploreHave a modernization, migration, data or cloud challenge?
Let’s discuss the architecture and determine the right first step — usually a focused assessment or pilot, not a big-bang program.