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The Agentic Platform for Legacy Software
Your legacy systems finally understood.
Glover ingests everything about your legacy systems — code, UIs, docs, tickets, logs, and expert knowledge — to build a living knowledge graph that powers daily operations, maintenance, and modernization.
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From the Industry’s Best
Built by Engineers From
Our team consists of engineers both from modern and large enterprise companies - ensuring that everything we build is backed by relevant and real-life data.
The Problem
Legacy tech is an expensive problem that is not going away
Orphaned
Newer products eat all resources, talent, attention
Knowledge Gaps
Supported by teams with too few engineers that know how it works or too many to just keeping it running
Opaque
Knowledge lives in scattered docs, tribal memory, and outdated tools
$700 Billion
Spent on legacy maintenance annually
Our Vision
creating powerful “Figure 8” agent loops
Our team works with design partners in insurance, banking, and financial services - ensuring that everything we build is backed by relevant and real-life data.
What's Our Differentiator
We capture the complete picture not just the source files
Who's It For?
A platform used across your entire organization.
CXOs
Monthly
Portfolio-wide understanding of risk, state, and cost across your full legacy portfolio. Board-ready analysis.
Cross-Functional
Daily
Accurate, comprehensive responses to audits, compliance, RFPs, and customer questions — enabling smaller, nimbler teams.
Eng & Product
Daily
Accurate, comprehensive responses to audits, compliance, RFPs, and customer questions — enabling smaller, nimbler teams.
Modernizers/SIs
Projects
Verifiably accurate specs for use by modernizers and AI coding tools. Faster ramp-up for new AI-native engineers.
Support & Compliance
Daily
Instant answers to support tickets and compliance questions, backed by the knowledge graph — not tribal memory.
Why Now?
The physics of software have dramatically changed.
The Old Reality
Discovery Blind Spots
Error-prone manual audits that inevitably miss critical edge cases and hidden logic.
The Expert Bottleneck
Success throttled by reliance on tribal knowledge and the “people contention” of retiring talent.
Sunk Cost Paralysis
Slow, capital-intensive roadmaps often abandoned before delivering a single piece of value.
Multi-Year Timelines
$XX-XXXM rebuilds that exceed a CTO’s tenure. New code, same old products.
The New Reality
Automated De-complexification
Frontier reasoning models now perform logic extraction that was previously considered "un-refactorable."
Extreme Engineering Leverage
AI-native workflows allow lean teams to achieve the output of traditional hundred-person organizations.
Compressed Cycles
Multi-year modernization roadmaps are collapsing into weeks of agentic execution and automated testing.
Knowledge Preserved Forever
Multi-modal AI captures what people know — not just what's in code — before it walks out the door.
Who We Are
the agentic platform for legacy software.
Glover believes that spec-driven AI development is the paradigm shift that makes legacy maintenance less costly and modernization possible.
We help forward-thinking and open-minded businesses bridge the gap in their systems. By providing high quality context to dated legacy pieces of code, we enable these pieces of code to be better integrated and function within the most complex systems. We ultimately strive to enable our clients to operate more efficiently, make well-informed decisions, and transform with confidence in an AI-integrated landscape.
Uniquely qualified and motivated to solve this problem
We’re modern tech builders who spent the last 2.5 years living the modernization pain at a Fortune 250. We are bringing on-board engineers who have lived in both legacy and modern
Dylan Lorimer
CEO
Google, Lyft, Atelio
Sid Vijayakrishnan
CTO
Google, Lyft, Atelio
Ben Schrom
CEO
Google, Lyft, Atelio
Stop losing knowledge. Understand your systems.
See how Glover builds a living map of your systems that stays current as your organization
evolves for your legacy portfolio in weeks, not months.
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