Trusted by teams at
Altimi is a tech modernization partner that has helped 300+ teams migrate legacy systems, accelerate delivery, and scale capacity — with AI-augmented workflows and phased, low-risk execution.
Trusted by teams at
A 2–4 week accelerated analysis phase combining AI-assisted discovery, dependency mapping, and impact analysis — delivering a concrete modernization roadmap with a phased execution plan and cost estimation.
Discovery Sprint, fixed price
€8,500
What you get:
Architecture assessment & migration feasibility
Full legacy stack analysis, dependency mapping, upgrade path validation — powered by AI-assisted code understanding.
90-day execution roadmap
Phased migration plan with quick wins, effort estimates, team structure, and AI toolset recommendations.
Business case with CAPEX/OPEX projections
Cost estimation, productivity gains (30–60% with AI-augmented workflows), and payback timeline for stakeholder approval.
“Our internal team is highly satisfied with their work. Knowledgeable and professional, Altimi goes above and beyond to meet all our needs. Their ability to stay focused and promptly address any issues makes them a reliable partner.”
“Altimi’s understanding and responsive approach enables seamless collaboration and accurate cost and timeline estimates. The team takes ownership of their work quality and remains open to constructive feedback.”
“We recommend Altimi as a trusted partner whose strengths include flexibility, high quality, and a deep understanding of our needs and those of our customers.”
OUR DELIVERABLES
The Discovery Sprint delivers a complete modernization package — from legacy analysis to execution-ready roadmap with business case.
Deliverable 1
AI-powered legacy codebase analysis — dependency mapping, tech debt quantification, and a phased vs. big-bang comparison with risk scoring. You get a clear picture of what to modernize first and why.
Deliverable 2
A concrete phased plan: quick wins in weeks 1–4, medium-term refactoring in weeks 5–8, strategic architecture changes in weeks 9–12. Each phase has effort estimates, team structure, and AI-augmented workflow recommendations delivering 30–60% productivity gains.
Deliverable 3
Cost projections for the full modernization engagement, productivity gains from AI-augmented workflows, and payback timeline. Formatted for stakeholder approval with clear ROI framing — ready for your board or budget committee.
Check all that apply. Be honest.
Fill out the intake form about your current tech stack, architecture, and modernization priorities. Provision read-only access to code repositories and cloud console.
We review architecture docs, set up AI-assisted code analysis tools (Cursor, Sourcegraph Cody, Semgrep), and identify initial focus areas based on your roadmap priorities.
Day 1-3
Automated dependency mapping, business logic extraction, and hidden coupling detection across the legacy codebase
Day 4-5
Stack evaluation, migration feasibility analysis, upgrade path validation for frontend and backend
Day 6-8
CTO sessions, delivery maturity evaluation, capacity scaling analysis, AI workflow readiness
Day 9-10
Phased vs. big-bang comparison, risk scoring, preliminary roadmap draft
Week 3
Frontend-first migration to React/Next.js, incremental backend refactoring, microservices extraction
Week 3
Recommended AI tools for code understanding, refactoring, QA, and documentation — with governance model
Week 3-4
Quick wins, medium-term refactoring, strategic architecture changes — with effort estimates and ROI
Week 4
Business case with CAPEX/OPEX, C-level walkthrough, execution proposal handover
CASE STUDIES
These are actual Altimi engagements where legacy systems were modernized under time pressure, compliance constraints, and scaling demands.
Germany · IoT / Utilities
Challenge: Project delayed, risk of missing regulatory compliance deadline for German smart metering market.
Scope: Delivery restart, architecture support (Java/Kotlin/Kafka/AWS/Kubernetes), test automation, roadmap management.
Results
Iceland · Finance / Banking
Challenge: Legacy banking systems and mobile applications needed modernization under strict security and compliance requirements.
Scope: Banking system modernization, mobile app development with encryption, certificate pinning, and secure P2P payments.
Results
Sweden · E-commerce
Challenge: Scaling platform serving thousands of businesses needed further modernization for performance and capacity.
Scope: Platform modernization (ASP.NET MVC, Web API, SQL Server, AWS), dedicated development team.
Results
Denmark · Logistics
Challenge: Warehouse management operations needed better ergonomics and system alignment with real-world processes.
Scope: New WMS development and modernization of logistics support applications.
Results
We don't do big-bang rewrites. Our approach is phased, frontend-first modernization with incremental backend extraction. This consistently outperforms full rewrites — ~85% success rate vs ~30% for rewrites — with faster time-to-value (months 2-4 vs. month 18+) and lower risk.
We modernize from legacy stacks like AngularJS, jQuery, Meteor, legacy Java, PHP monoliths, and outdated .NET versions. Target stacks typically include React/Next.js for frontend, modern Node.js or Java/Kotlin for backend, and cloud-native infrastructure on AWS, Azure, or GCP.
We use AI tools across the entire workflow: Cursor and Sourcegraph Cody for code understanding, Semgrep/CodeQL for security scanning, Grit.io for codemods, CodiumAI for test generation, and Playwright for E2E testing. This delivers 30-60% productivity improvements — but with human-in-the-loop governance at every architectural decision point.
Phase 1 typically starts with frontend migration to React/Next.js and a technical spike to validate backend upgrade feasibility. Phase 2+ covers backend refactoring, microservices extraction, and platform modernization. Each phase delivers working software — you see value from week one, not month eighteen.
The Discovery Sprint takes 2-4 weeks and delivers a complete modernization roadmap. Full execution depends on system complexity — typically 3-9 months for Phase 1 (frontend + critical backend), with subsequent phases running in parallel with normal product development.
You receive a detailed execution proposal with phased roadmap, team structure, effort estimates, and CAPEX/OPEX projections. If you proceed, Altimi assembles a dedicated modernization team and begins execution. If not, you keep all deliverables — the Sprint is standalone value.
THE TEAM
The Discovery Sprint is delivered by a senior modernization squad combining architecture, frontend migration, backend refactoring, and AI-augmented delivery expertise — the same team structure used in projects like Cuculus, JetShop, and Origo.
Senior technical oversight with 20+ years of experience. Validates key architecture decisions, recommends AI toolset configurations, and ensures alignment with security and maintainability standards. Guides the effective use of AI in delivery while maintaining human oversight at critical decision points.
Leads the architecture assessment, migration planning, and microservices design. Evaluates legacy system decomposition strategies, defines API-first communication layers, and ensures the modernized architecture supports long-term scalability and product evolution.
Specializes in migrating legacy frontends (AngularJS, jQuery, Meteor templates) to modern React/Next.js with TypeScript and Tailwind CSS. Uses AI-assisted component conversion (Cursor Composer, Grit.io codemods) for efficient, safe migration at scale.
Handles backend refactoring, database modernization, cloud infrastructure assessment, and CI/CD pipeline design. Focuses on progressive rollout strategies, observability improvements, and ensuring the operational backbone supports the modernized platform.
For the full modernization engagement, the core team scales with additional QA automation engineers, security specialists, and domain-specific developers. Team size typically ranges from 4–8 depending on system complexity.
This structure combines deep modernization expertise with AI-augmented productivity — delivering 30–60% efficiency gains on migration and refactoring tasks while maintaining human oversight at every architectural decision point. It mirrors the actual team composition used in successful modernization projects across finance, IoT, and e-commerce.
Start with a 2–4 week Discovery Sprint. No lock-in — just a clear modernization plan you can act on.
Currently booking Q2 2026 · 3 slots remaining
CO-FOUNDER & CTO, KARA CONNECT
🇮🇸 Iceland
Our internal team is highly satisfied with their work. Knowledgeable and professional, Altimi goes above and beyond to meet all our needs. Their ability to stay focused and promptly address any issues makes them a reliable partner.
RESEARCH & INSIGHTS
Research-backed articles with original data, charts, and sourced citations. Each piece is built from 3 parallel deep research streams.
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Start with a 2-4 week Discovery Sprint. No lock-in - just a clear modernization plan.
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