How We Migrated a 15-Year .NET Monolith to Microservices
Architecture decisions, migration strategy, and lessons learned from a real client engagement.
We modernize outdated applications and build AI capabilities into them so your old software becomes your smartest asset. 80+ engineers. 15 years. 2,500+ projects delivered.
Your 10-year-old monolith is slowing down your team, blocking new features, and creating security risks. We decompose it into modern microservices, move it to the cloud, and set up CI/CD — so your team ships weekly instead of quarterly.
Your competitors are adding AI-powered features. Your architecture needs to support it. We integrate LLMs, intelligent automation, predictive analytics, and AI agents directly into your modernized platform — not as a bolt-on, but as a core capability.
Need more engineers who understand both legacy systems AND modern AI? We embed dedicated teams (4-12 engineers) into your workflow, with a US-based technical lead, 4-hour timezone overlap, and 94% retention rate.
Migrated a legacy ERP system to a cloud-native architecture with embedded AI analytics, enabling real-time data insights and automated reporting.
Decomposed a .Net monolith into microservices and integrated an AI-powered risk scoring engine, reducing manual review time and improving accuracy.
Revamped warehouse management with predictive AI for inventory, route optimization, and demand forecasting, significantly reducing operational bottlenecks.















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From MVP to AI-powered product, we build the modern architecture from day one so you never accumulate the tech debt that slows your competitors down.
How we help startupsYour legacy system is 10 years old and blocking AI adoption. We modernize the core platform and add intelligent features without disrupting your daily operations.
How we help mid-marketComplex systems, strict compliance, zero tolerance for downtime. We modernize at scale, migrating core systems while integrating AI across business units.
How we help enterprisesHIPAA compliant systems that are 10+ years old, blocking AI-powered patient analytics and telehealth capabilities.
Legacy banking and payment platforms that need real-time processing, AI fraud detection, and regulatory compliance.
Warehouse and fleet management systems built on outdated architecture, blocking predictive AI and real-time optimization.
Claims processing and underwriting platforms that need modernization to support AI-driven risk assessment and automation.
Architecture decisions, migration strategy, and lessons learned from a real client engagement.
A practical guide to integrating AI capabilities without rebuilding your entire system.
How we helped a HealthTech company achieve continuous delivery after years of manual releases.