Modernization

Legacy applications moved onto modern platforms in steps, without starting from zero and without stopping the work that depends on them. We modernize what should change and connect what should stay.

12: process centers where PepsiCo R&D associates browse and book pilot-plant equipment
9: engagements with Honda Research Institute

Schematic — client UI under NDA

Legacy systems
APIs and integration
Modern platform

Trusted by

Most organizations cannot replace everything at once. We modernize in steps: move what needs to move, connect what should stay, and keep the whole environment running while it changes.

For PepsiCo R&D we built the Process Gallery (2016–2019), where associates browse and book pilot-plant equipment across 12 process centers. For Honda Research Institute a research prototype became a production platform in 2016 and moved to Honda’s infrastructure in Japan in 2018–2019, so teams in the US and Japan work from the same data. For Stanford University we took AXESS from a 2021 redesign to a 2022 implementation on Liferay DXP, with an accessible theme.

01What we deliver

Modern platforms, without starting from zero.

An honest assessment
What you have, what it costs to keep, and what to modernize first.
APIs and integration
Modern front ends and services connected to the systems that should stay.
Data migration
Data moved and cleaned in phases, with the old system running until the new one is proven.
Platform upgrades
Version upgrades of custom modules and themes, as for CMAP’s move to Liferay DXP 7.2.
Accessibility in the rebuild
A rebuild is the cheapest moment to fix accessibility; we build it in, as in Stanford’s accessible theme.
Teams ready for the new platform
Training and documentation so your people run what we modernize.

02How an engagement runs

From legacy to modern, one step at a time.

Evaluate
Applications, dependencies and users, and the order that avoids disruption.
Prototype
The target experience and architecture, proven on one slice before the rest.
Build
Modernization in agile increments, with legacy systems running alongside.
AI: code assistance speeds up the routine work; engineers review every change.
Adopt
Training, cutover and support, so the new platform is the one people use.

Schematic — client UI under NDA
Food & Beverage
PepsiCo
2016–2020
PepsiCo Process Gallery: pilot-plant time booked from one screen instead of a spreadsheet per site
460+
pilot-plant trials booked by 240+ R&D associates in the first three months (PepsiCo Snacks R&D, 2017)
data.ohio.gov
Public sector
State of Ohio · DataOhio
2018–2026
DataOhio: opening the State’s data to the people who use it
1.5M+
dataset views, per the portal (September 2026)
Schematic — client UI under NDA
Retail & Consumer
Coppel
2019–2020
Coppel: a tablet point of sale designed with the salespeople who use it
15
salespeople and managers interviewed at their stations, in 6 stores