25+
years in financial services
200+
AI Natives
500+
Transformations delivered
$3T+
Managed on Praxent-built tech
100+
Claude Certified Architects

Modernize your legacy platform and automate routine [i]engineering work[/i] at scale.

Modernize your legacy platform and automate routine [i]engineering work[/i] at scale.

Modernize your legacy platform and automate routine [i]engineering work[/i] at scale.

Modernize your legacy platform and automate routine [i]engineering work[/i] at scale.
Modernize your legacy platform and automate routine [i]engineering work[/i] at scale.
AI-Native Engineering

Your engineering team builds faster on a modern codebase, learning Claude Code and AI-native practices beside our forward-deployed fintech engineers.

Quality Assurance

Regression suites built from your recovered business rules let your QA team test and sign off on every financial calculation with zero variance.

Rapid Product Releases

Say yes to new products as your team plans new loan types, payment flows, and embedded finance offers on a platform built for the pace of change.

Stress-Free Migration

Keep daily processing on schedule with rollback ready at every migration stage, so your operations team plans new initiatives as each domain moves over.

Compliance

Show examiners where every rule came from, tracing it from legacy source to the new code, so your compliance records stay accurate and audit-ready.

Modernize with AI

PraxentDecode℠ is our AI accelerator for legacy platform modernization.

We’ll get you there

Legacy modernization case study

From a stalled modernization to a [i]build-ready plan[/i] in weeks.

From a stalled modernization to a [i]build-ready plan[/i] in weeks.

From a stalled modernization to a [i]build-ready plan[/i] in weeks.

From a stalled modernization to a [i]build-ready plan[/i] in weeks.
From a stalled modernization to a [i]build-ready plan[/i] in weeks.

At a top-5 global payment processor, nearly $2B a day in payments reconciliation ran on a platform of undocumented Delphi code no one could compile, patch or rehost. Its builders had left, and an earlier modernization had stalled. PraxentDecode℠ reverse-engineered the full codebase, recovering core logic and dependencies, surfacing 5 security issues, and producing a complete platform map and a future modernization plan.

14K+
Lines of legacy code mapped, with 714 business requirements recovered
48x
Faster system discovery than manual analysis
100x
Cost reduction vs. traditional modernization
Where you start

Every business rule your platform runs on, [i]recovered first[/i].

Every business rule your platform runs on, [i]recovered first[/i].

Every business rule your platform runs on, [i]recovered first[/i].

Every business rule your platform runs on, [i]recovered first[/i].
Every business rule your platform runs on, [i]recovered first[/i].

Every business rule, dependency, integration, and data model in your legacy code is recovered by our AI agents, then confirmed by your experts, so you own a verified record before any rebuild starts.

2 to 4 weeks

PraxentDecode℠

PraxentDecode℠

PraxentDecode℠

PraxentDecode℠
PraxentDecode℠

What it produces

A Platform Intelligence Report on what your system does today
A Business Rules Library of calculations and compliance checks
A Dependency Map of integrations, APIs, and data connections
A Modernization Roadmap with prioritized waves and effort estimates
Our approach

How you go from legacy code to an [i]AI-ready platform[/i] in production.

How you go from legacy code to an [i]AI-ready platform[/i] in production.

How you go from legacy code to an [i]AI-ready platform[/i] in production.

How you go from legacy code to an [i]AI-ready platform[/i] in production.
How you go from legacy code to an [i]AI-ready platform[/i] in production.
3 to 4 months

[i]01[/i]

[i]01[/i]

[i]01[/i]

[i]01[/i]
[i]01[/i]

Design and Architect

We design your target-state architecture as cloud-native on Azure around the regulatory requirements financial services demands, so AI agents and modern experiences plug right in.

2 to 3 months

[i]02[/i]

[i]02[/i]

[i]02[/i]

[i]02[/i]
[i]02[/i]

Build and Migrate

We build the platform, prove parity, and migrate in waves with legacy running side-by-side and rollback-ready. Development timelines are compressed 25–40% as value lands in weeks with no big cutover.

4 to 6 weeks

[i]03[/i]

[i]03[/i]

[i]03[/i]

[i]03[/i]
[i]03[/i]

Cutover and Handoff

With all domains migrated and validated, we execute the production cutover and decommission your legacy systems. Your team fully owns the modern platform with the decoded specifications as documentation.

Meet the

Meet the

Meet the

Meet the
Meet the
FORWARD DEPLOYED FINTECH ENGINEERS

To deliver hyper-customized workflows, Praxent embeds Forward-Deployed Fintech Engineers (FDEs). These are certified experts who combine

Elite AI Architects

Elite AI Architects

Elite AI Architects

Elite AI Architects
Elite AI Architects

AI-native engineers with hands-on experience around modern AI capabilities, governance, tokenomics, and rapid iteration to deliver results.

BFSI Expertise

BFSI Expertise

BFSI Expertise

BFSI Expertise
BFSI Expertise

Specialists who deeply understand regulated financial operations, fraud, compliance, and core processing systems.

Paul Tidwell
Nolan Egly
Matthew Wooley
Rico Callirgos
René López
Kara Konop
100+
more AI Natives
100+
more AI Natives
Paul Tidwell
Claude Certified Architect

“On a lending platform the model is rarely the hard part. The hard part is deciding which credit decisions a person still owns, and making that line clear to an examiner.”

Nolan Egly
Claude Certified Architect
Microsoft Azure AZ-305 Certified

“Most core banking code holds twenty years of business rules nobody wrote down. I pull those rules out and turn them into something an agent can follow and an auditor can read.”

Matthew Wooley
Claude Certified Architect
Microsoft Azure Certified

“A pilot runs on clean sample data. Production runs on real customer files with missing fields and edge cases, and that’s where I spend my time.”

Rico Callirgos
Claude Certified Architect
AZ-305 Solutions Architect Expert

“Before I design anything, I sit with the people doing the work. In servicing and collections, the real process is usually a few steps longer than the documented one.”

René López
Claude Certified Architect
Microsoft Azure Certified

“Every model output in a regulated workflow needs a trail: what data it used, which version ran, who approved it. I build that in from the first sprint.”

Kara Konop
Claude Certified Architect
Microsoft Azure Certified

“I judge an engagement by what happens after I leave. If your team can extend what we built without calling us, it went well.”

The latest AI Native news and notes.

The latest AI Native news and notes.

The latest AI Native news and notes.

The latest AI Native news and notes.
The latest AI Native news and notes.
Article
Insurance

How AI Decodes Decades-Old Business Logic for Core Systems

Modernizations stall when interviews and partial code reviews miss the rules that are buried in legacy code. See how AI recovers that logic first, using insurance core systems as the example.

Article
Lending

Breaking Down the Next-Gen Commercial Lending Tech Stack

Before you rebuild a legacy lending platform, you should know what you're building toward. This breakdown shows what makes a next-gen commercial lending stack smart, fast, and adaptable.

Article
Banking

Why Modular, API-First Architecture Defines Market-Leading Lending

A migration can recreate old silos and carry technical debt onto the new platform. Learn what modular, API-first architecture changes, and what a migration plan needs to avoid both.

We identify and map your [i]workflows[/i] before we rebuild your platform.

We identify and map your [i]workflows[/i] before we rebuild your platform.

We identify and map your [i]workflows[/i] before we rebuild your platform.

We identify and map your [i]workflows[/i] before we rebuild your platform.
We identify and map your [i]workflows[/i] before we rebuild your platform.

As legacy systems carry undocumented workflows or unclear rules, we review each one with your team, from loan servicing to payment settlement. You decide what to redesign, and your experts shape the platform.

Modernization in Banking →
Modernization in Lending →
Modernization in Payments →
Modernization in Investing →
Modernization in Insurance →
Modernization in Health Benefits and PBM →

PraxentGuard℠ runs 29 security checks that protect your data, code, and credentials.

See How This Works →
OWASP LLM Top 10
SOC 2 alignment
AI Business Transformation

Become an AI-native market leader by transforming your [i]full stack[/i].

Become an AI-native market leader by transforming your [i]full stack[/i].

Become an AI-native market leader by transforming your [i]full stack[/i].

Become an AI-native market leader by transforming your [i]full stack[/i].
Become an AI-native market leader by transforming your [i]full stack[/i].
Every AI investment that follows builds on the platform you modernize.
01
Digital Experience

Customers state what they want and an agent does the work.

02
Cowork

Your teams run codified procedures at AI-native speed.

03
Agents

Governed agents take over your routine financial operations.

04
Data

The AI context your people and your agents both work from.

05
Platform

Advanced AI demands modern architecture and rapid engineering.