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

Trustworthy data means better decisions across [i]every workflow[/i] you run.

Trustworthy data means better decisions across [i]every workflow[/i] you run.

Trustworthy data means better decisions across [i]every workflow[/i] you run.

Trustworthy data means better decisions across [i]every workflow[/i] you run.
Trustworthy data means better decisions across [i]every workflow[/i] you run.
Underwriting and claims decisioning

Credit, exposure, and payment history arrive as one complete profile, so your adjusters assess and settle and your underwriters price risk accurately.

Fraud and risk signals

Streaming transaction and account data replaces the overnight batch, so your team sees patterns across accounts in time to stop them before any money leaves.

Transaction and settlement ops

Payments and transactions reconcile to one set of numbers so that your operations team investigates real breaks instead of chasing timing differences.

Reporting and compliance

Board and regulatory reporting run off defined numbers with their full lineage attached, so your controller can show an examiner where each one came from.

KYC/KYB Intake and onboarding

Identity and compliance checks resolve to one record per customer, vendor, and merchant. Opening accounts takes minutes and nothing comes back for rework.

When you’re AI native . . .

You own a governed data estate that powers every decision and agent at scale

We’ll get you there

Data transformation case study

From fragmented to [i]governed data[/i].

From fragmented to [i]governed data[/i].

From fragmented to [i]governed data[/i].

From fragmented to [i]governed data[/i].
From fragmented to [i]governed data[/i].

A professional liability insurer covering 7,000+ state lawyers had four fragmented sources, board reporting done by hand, and 25 years of logic nobody had written down. Praxent consolidated the four sources onto one platform, replaced manual reporting with governed dashboards, and recovered the logic with AI code analysis.

95%
Less time on board reports
120
Annual reconciliation hours eliminated
7 to 1
Interfaces decreased
Read the full case study →
Where you start

Figure out what to do with your data [i]before you migrate it[/i].

Figure out what to do with your data [i]before you migrate it[/i].

Figure out what to do with your data [i]before you migrate it[/i].

Figure out what to do with your data [i]before you migrate it[/i].
Figure out what to do with your data [i]before you migrate it[/i].

We review your data estate with a set scope and interview your business stakeholders on what they need most. You get a prioritized Fabric build plan with the costs, returns, and what goes first.

4 weeks

The Data Assessment

The Data Assessment

The Data Assessment

The Data Assessment
The Data Assessment

What it produces

A data catalog with owners, consumers, and criticality.
A data quality scorecard run against BSA/AML, PII, and fair-lending.
A ranked list of the questions your business needs answered.
A Fabric build plan organized by priority with each business case.
Our approach

How your data goes from fragmented to fueling [i]agent fleets[/i].

How your data goes from fragmented to fueling [i]agent fleets[/i].

How your data goes from fragmented to fueling [i]agent fleets[/i].

How your data goes from fragmented to fueling [i]agent fleets[/i].
How your data goes from fragmented to fueling [i]agent fleets[/i].
6 weeks

[i]01[/i]

[i]01[/i]

[i]01[/i]

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

Design and Architect

With your target architecture mapped to your domains, licensing sized for your busiest week, and governance settled, you’ll know who owns what and how much it all costs before the build begins.

12 weeks

[i]02[/i]

[i]02[/i]

[i]02[/i]

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

Build and Migrate

Your highest-value domains are the first to go live, as we migrate them one wave at a time. Your legacy system runs alongside until every number is reconciled to its source.

6 weeks

[i]03[/i]

[i]03[/i]

[i]03[/i]

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

Optimize and Operate

Your AI programs run on governed data, tuned to a cost you can see and plan for. Your team keeps running the platform after we leave and you have the playbook to wind down your legacy system.

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.
Case Study
Banking

How a community bank built its first cloud data foundation

Locality Bank's data was locked within its core and across systems, so every report meant manual work. Learn how Praxent built a bank-owned data lake and data catalog to automate their reporting.

Article
Payments

AI-Driven Automation for AR/AP in B2B Payments

Before AI can reconcile accounts receivable and payable, your invoice, purchase order, and remittance data must be standardized and flowing in real time. See why automation depends on clean data.

Article
Lending

Guide to Equipment Financing Trends

Fragmented data gives AI inconsistent inputs but when credit, asset, and usage data arrive as one profile, lenders can approve deals in hours instead of days. See the pipelines and rules that power it.

We simplify your data so your teams and agents all [i]read it the same way[/i].

We simplify your data so your teams and agents all [i]read it the same way[/i].

We simplify your data so your teams and agents all [i]read it the same way[/i].

We simplify your data so your teams and agents all [i]read it the same way[/i].
We simplify your data so your teams and agents all [i]read it the same way[/i].

We label your data in the terms your business already uses and name an owner for every domain, so your people and agents all work from one definition and your reporting stays consistent.

Data in Banking →
Data in Lending →
Data in Payments →
Data in Investing →
Data in Insurance →
Data 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].
Trustworthy data needs a modern platform to enable AI in production, and we build all of it.
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.