App modernization and intelligent automation, delivered together. We help enterprises modernize legacy applications, build cloud-native apps, and scale RPA programs that drive measurable ROI.
Enterprise application services cover the design, build, modernization and operation of the applications enterprises run their business on — increasingly augmented with AI, agents and modern data foundations to deliver better experiences and operating leverage.
Done well, enterprise applications combine modern UX, agentic workflows, integrated data and governance — so apps deliver real business outcomes from day one, not after a multi-year transformation.
Dataflix designs and builds AI-native enterprise applications on the Jo enterprise AI platform, integrated with your systems of record, warehouses and operational tools.
Most enterprises run on a mix of legacy systems, vendor platforms and home-grown apps. We modernize that estate, build the cloud-native apps that fill the gaps, and put automation behind the workflows that still run on people copy-pasting between screens.
Lift, refactor or re-architect legacy systems on a path that fits the business — not a rip-and-replace gamble.
Cloud-native applications engineered for scale, observability and integration with your existing estate.
Scale RPA and intelligent automation across operations — measured by hours reclaimed and errors avoided.
Four practice areas, designed to work together — so modernization, new builds and automation reinforce each other instead of fighting for budget.
Assess, refactor and re-platform legacy applications — moving toward modular, cloud-native architectures without breaking the business.
New applications built on modern stacks — APIs, microservices, event-driven backends and modern web/mobile front-ends.
Production-grade RPA programs across finance, ops, HR and customer service — with the governance and CoE to make them stick.
RPA combined with AI — document understanding, decisioning and conversational front-ends — for processes that aren't purely rule-based.
Three engineering tracks that run in parallel — so you can fix what you have, ship what's new, and take the repetitive work off your team's plate without three separate vendors.
Move legacy estate to a modern, modular foundation
Reduce technical debt and unit cost while keeping the business running through the change.
Engineer new applications for scale, observability and integration
Ship new capabilities faster — with the reliability and governance enterprise IT expects.
Scale RPA and AI-driven automation across operations
Convert manual, repetitive work into reliable digital workers — measured in hours reclaimed.
A single delivery rhythm across modernization, new builds and automation — so the same governance, the same telemetry and the same release model cover every track.
Inventory the application estate. Score each app for business value, complexity and modernization fit.
Per-app roadmap — refactor, re-platform, re-architect or replace. Automation pipeline triaged in parallel.
Modernize the legacy estate, ship cloud-native apps and deploy production-grade bots in disciplined sprints.
Operate under CI/CD, observability and automation governance — with rollback paths and clear ownership.
Measure unit cost, cycle time and hours reclaimed; feed the numbers back into the next wave.
Jo is our enterprise AI platform — the foundation we use to make modernization, cloud-native builds and automation programs predictable, governed and scalable.