Modernization
Using AI to reduce technical debt, upgrade legacy frameworks, and lower the risk of system migrations.
Helping legacy vertical software companies lead through the AI shift.
Banyan helps vertical software leaders understand and act on the forces reshaping their markets, starting with AI. We work alongside our companies to apply AI where it can improve products, strengthen operations, and create meaningful value for customers over the long term.
Three ways AI creates practical value.
Acceleration
Applying AI to engineering workflows, testing, and go-to-market processes to increase release velocity and team efficiency.
Innovation
Using AI to analyze customer needs, prioritize product roadmaps, and build AI-enabled products that support new use cases and expand addressable markets.
How we work
A core capability across the portfolio.
Dedicated leadership, shared infrastructure, and repeatable practices turn experimentation into execution.
01
Workshops and implementation
Hands-on sessions embedded with product, engineering, and go-to-market teams to move AI features out of the lab and into production.
02
Community and best practices
Shared frameworks for security, data privacy, and governance, plus peer learning and operating examples from across the portfolio.
03
Strategy and accountability
Dedicated AI leadership working alongside operating teams, with clear expectations tied to measurable customer value.
04
Talent and capability
Building AI skills in existing teams and bringing in experienced leaders, so day-to-day work gets better rather than more complex.
AI in action
Case study 01
AI-Enabled Product Expansion
Zap Solutions embedded AI into its core platform to introduce new decision-support capabilities and drive product-led growth.
After piloting an AI-powered module with a small group of customers, the company launched the capability commercially, helping users review complex information more efficiently and make more informed decisions. The AI functionality was quickly adopted and is now a core part of the product roadmap, supporting both operational efficiency and new revenue growth.
Case study 02
Modernizing RedAlert at Alpine Software
Alpine Software is rebuilding its RedAlert product into a modern, cloud-native SaaS platform using generative AI and agentic development methods.
The Alpine Rewrite Project is helping transform RedAlert into a scalable, future-ready platform while capturing new development capabilities that can support broader product modernization efforts across our portfolio.
Case study 03
AI-Assisted Product Modernization
Softera used AI to accelerate a major UI framework upgrade and reduce the engineering effort required for modernization.
The upgrade was initially estimated to require roughly 800 days of engineering work. By applying AI-assisted development tools and targeted support, the team reduced the effort by approximately half, saving hundreds of engineering days. Beyond the immediate time savings, the team gained confidence in tackling future upgrades and modernization initiatives more efficiently.
ennergy
Michael Parrella
Snappic
Julio Amorim
RinkNet
Jonathan Hou
TransPlus
Jordan Lipson
Curious where applied AI could make a practical difference?
Let’s talk.