Legacy code migration
We map, refactor, and re-platform decades-old codebases — COBOL, Java monoliths, PHP, .NET Framework — into clean, testable, agent-ready services without disrupting production.
AI-native modernization
Turn legacy code into agentic systems
PervoTech re-engineers your aging applications into autonomous, agent-ready software — connected to the world through open connectors. Keep your business logic. Lose the technical debt.
40+Years of legacy code modernized
10xFaster than manual rewrites
100%-native, standards-based
0Rip-and-replace required
What we do
AI solutions, engineered — not prompted
We are a research-led studio. Every engagement pairs deep software engineering with frontier AI to move your systems from static and legacy to autonomous and agentic.
connector engineering
We wrap your systems, databases, and APIs in Model Context Protocol servers — so any AI agent can safely read, act, and orchestrate against your software through a single open standard.
Agentic architecture
We design the , , and layer that let autonomous agents run real workflows — with controls, , and baked in.
AI readiness audit
A rapid, scientist-led assessment of where AI creates real leverage in your stack — with a costed, sequenced roadmap you can act on in weeks, not quarters.
Knowledge & data pipelines
We turn scattered documents, tickets, and tribal knowledge into governed, retrievable context that your agents can reason over — accurately and with citations.
Team enablement
We embed with your engineers, transfer the patterns, and leave you with an in-house team that can build and ship agentic software long after we are gone.
How it works
A migration path that never stops production
Connectors first, rewrites second. Our sequence de-risks modernization by putting an agent-ready interface in front of your systems before a single line of legacy code is touched.
01
Discover & map
We ingest your codebase, dependencies, and data flows, then build a living architecture map. AI-assisted static analysis surfaces the business logic worth keeping and the debt worth retiring.
02
Wrap in
Rather than a risky big-bang rewrite, we expose your existing systems as Model Context Protocol servers — giving agents a safe, typed, permissioned interface to your software from day one.
03
Refactor incrementally
Behind those connectors, we modernize the code path by path — with and guarding behavior — so you ship continuously and never freeze the business.
04
Orchestrate agents
We compose agentic workflows on top of your connectors, add controls and , and tune them against real production tasks until they earn trust.
05
Hand over & scale
You keep the connectors, the tests, the playbooks, and a team trained to extend them. The result is a platform that gets more capable every time a new model ships.
The connective tissue
connectors: your legacy systems, agent-ready
The Model Context Protocol turns any system into a first-class tool an AI agent can call. We engineer these connectors so your software becomes something agents can safely reason about and act on.
- ✓One open standard is the emerging protocol for connecting AI to real systems. Build once, and every compliant agent or model can use your tools.
- ✓Permissioned by designEvery tool, resource, and action is typed and scoped. Agents get exactly the access you grant — nothing more.
- ✓Model-agnostic & future-proofSwap models, add agents, or change vendors without rewiring your integrations. Your connectors outlive any single AI.
Local & private LLMs
Run open models on your own infrastructure
Prefer to keep AI in-house? PervoTech deploys, tunes, and operates open-weight models on servers you control — so your data stays private and you’re not paying per token.
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Your data stays in-house
Models run on hardware you control — or your private cloud. Sensitive code, documents, and customer data never leave your network.
No per-token bills
Fixed infrastructure cost instead of metered cloud-API charges — predictable spend that doesn’t balloon with usage or scale.
Tuned to your domain
We pick, , and the right open model for your workload, then benchmark it against the actual task — not a generic leaderboard.
Agent-ready, with a cloud fallback
Local models plug straight into your connectors and agentic workflows — and we can route to a frontier cloud model automatically when a task needs it.
How it works
1
Assess
We profile your workloads, data sensitivity, and hardware to choose the right and sizing.
2
Deploy
We stand the models up on your servers — , private cloud, or air-gapped — with a production .
3
Tune & benchmark
Quantize, where it pays off, and benchmark against your real tasks — not a generic leaderboard.
4
Integrate
Wire the models into your apps and agentic workflows via , with an optional cloud fallback.
Enablement & AI DevOps
We upskill your team and modernize how you ship
PervoTech doesn’t just deliver code — we train your engineers to build with AI and embed modern practices: AI-assisted TDD, intelligent CI/CD, evals, and observability. You keep a team that can extend it all.
AI-assisted team training
We embed with your engineers and level them up on building with AI — prompting, agent design, tools, and when to trust versus verify model output.
AI DevOps (AIOps)
Intelligent , automated code review, and AI-driven monitoring, alerting, and incident triage — so pipelines surface issues before your users do.
Test-driven development
with AI-generated unit and that lock in behavior before refactors — the safety net that makes agentic changes trustworthy.
AI code review
Automated, context-aware review on every pull request — catching bugs, regressions, and drift early, so humans focus on the decisions that matter.
Evals & observability
We stand up , tracing, and so AI in production is measurable, debuggable, and reversible — never a black box.
Pipelines & IaC
Reproducible and infrastructure-as-code with agentic automation in the loop — so your team ships faster with , not more risk.
Testimonials
What teams say after the migration
Modernization is a trust exercise. Here’s the kind of outcome teams describe once their systems are connected, agent-ready, and in their own hands.
They put an layer in front of our mainframe in weeks — our agents could act on it safely long before we touched the legacy code. Zero downtime, and the team finally trusts the automation.
FSHead of EngineeringFinancial services
PervoTech didn’t just modernize our stack — they trained our engineers to build with AI and left us with the and tests to keep it honest. We ship faster now, with far fewer surprises.
LGVP of ProductLogistics
Running on our own infrastructure kept sensitive data in-house and cut our AI spend dramatically — with a clean cloud fallback for the hard cases. Exactly the balance we needed.
HSCTOHealthcare SaaS
Ready to make your software agentic?
Tell us about your stack. We’ll come back with a concrete, costed path from legacy code to an MCP-connected, agent-ready platform.