AI transformation built for financial services

Praxent is an AI transformation firm for financial services. Our forward-deployed fintech engineers modernize legacy platforms, build governed AI agents, roll out Claude Code and Claude Cowork to your teams, and design AI-driven customer experiences. We transform technology, processes, and people together, because AI only pays off when all three change.

We serve banks and credit unions, lenders, payments companies, capital markets firms, insurance carriers, and health benefits and PBM organizations, plus the fintechs that power them. Every engagement is in financial services, so your team never pays for us to learn the industry.

Every Praxenter pairs frontier AI expertise with deep financial services knowledge, from underwriting and settlement to claims and compliance. We bring proprietary IP built for regulated environments, we stay embedded until the work is in production, and our outcome-based offerings tie our fees to the KPI you need to move.

Praxent has 200+ AI and fintech experts across AI engineering, product design, delivery, and client services. In April 2026, Delta-v Capital made a strategic growth investment in Praxent to accelerate our AI engineering capabilities and team growth.

We're a Select Tier Anthropic partner and the only one dedicated exclusively to financial services. We're also a Microsoft Solutions Partner for Cloud and AI Platforms and one of Microsoft's select AI-native partners. Those partnerships give our clients early access to new capabilities and, for many engagements, partner funding to get started.

AI Labs packages three things we've proven across 500+ transformations: AI Natives (our forward-deployed fintech engineers), AI Accelerators (PraxentDecode℠, PraxentGuard℠, and our Claude Code harness), and outcome-based pricing. You get one team accountable for taking AI from idea to production.

Our AI Natives are forward-deployed fintech engineers that embed with your team, learn your workflows, and build inside your security and compliance controls. Praxent AI Natives blend elite AI architecture expertise with financial services domain depth to deliver lasting change and AI impact. Our AI Natives join your standups, ship to production, and train your people to run what we build together.

We agree on the metric up front, such as faster funding, fewer servicing tickets, or lower cost-to-serve, and scope and price the engagement against that result. You know what success looks like before we start, and we share accountability for reaching it.

In your first conversation. Bring a workflow you want to automate, such as loan intake or dispute handling, and our team will build a working agent prototype with you on the call, so you can see the impact before you invest.

In weeks. As one of the first partners onboarded to Microsoft's Azure Agentic AI Solution Accelerator, we turn your business problem into governed agents running in your own Azure environment, and you own everything we deploy.

We can usually start within two weeks of your go-ahead. Most clients begin with a focused first step, such as a Platform Intelligence Report, a Proof-of-Value Day for Claude Cowork, or an agent readiness assessment, so you see results before committing to a larger program.

Several of our entry engagements qualify for Microsoft and matched Praxent funding on a case-by-case basis, so you can get started for little to no investment. We'll confirm eligibility in our first conversation.

Pilots stall for the same reasons everywhere: legacy systems can't support agents, workflows live in people's heads, and teams aren't sure where they fit. We address all three together, which is how AI moves from a pilot to a KPI your board tracks.

Start where the business case is clearest and the data is ready. We map your highest-value use cases against effort and impact, then recommend a first engagement that delivers a measurable win within weeks. If you already know what you want to build, we'll start there.

We define the KPI before any work begins, instrument it from day one, and report against it throughout the engagement. With outcome-based offerings, our fees move with that number, which gives your stakeholders a clear line from investment to return.

In most cases, AI and modernization move together. PraxentDecode℠ extracts the business logic buried in your legacy code, which de-risks the migration and gives your agents the clean foundation they need. Clients modernize up to 50% faster this way.

We often partner with our project sponsor to present recommendations in a way that builds consensus across technology, risk, and business leaders, using your own data and priorities.

We build governance into the architecture from the start: identity and permissions, human-review gates, action audit logs, and data-boundary enforcement. That gives you a ready answer when examiners ask how you validated, monitored, and controlled your AI.

PraxentGuard℠ is our AI controls framework. It runs 29 security checks spanning the full range of agentic AI threats, covers the OWASP LLM Top 10, and aligns with SOC 2. Every Claude Code rollout, Cowork rollout, and agent we build runs under it.

Yes, we received our SOC 2 Type II certification in 2023 and maintain it every year.

We build on frontier models such as Claude and never train models on client data. Your data stays within the boundaries you set, and we enforce those boundaries in every system we build.

No, and in most cases we recommend against it. We separate development, testing, staging, and production environments and work within your access policies. If your team isn't set up that way yet, we'll help you get there.

Claude powers our transformations, and we're runtime-flexible. We build and run agents on Anthropic's platform, Microsoft Foundry, Amazon Bedrock, or Google Vertex AI, depending on where your stack and data live. Our recommendation always follows your environment.

We roll out licenses, build fluency, codify your engineering standards into a custom harness, and integrate it into delivery. The harness turns AI speed into production-grade output, and our clients ship product 25 to 45% faster.

We roll out Cowork with least-privilege connectors, codify your procedures into versioned skills, and stand up a center of excellence that drives adoption. Your operations teams move from having licenses to running AI-native workflows, with hours saved measured along the way.

Yes, and we recommend it. Our AI Natives join your sprint rituals, work in your repositories and collaboration tools, and coach your team as they go, so your engineers own the AI-native practices when we step back.

You own everything we build, since all work is performed on a work-for-hire basis. Where our accelerators speed delivery, we grant a permanent license for you to use and modify them.

We can continue with ongoing support, monitoring, and enhancements under a fixed monthly agreement. For agents, that includes fleet operations: evaluation, model updates, and cost management as your agents scale.

We pair change management with hands-on training, AI-native job descriptions, and a center of excellence that keeps adoption growing. Your people learn by building alongside our engineers, which is how new skills stick.

We document every release, deploy source code to repositories you own, and train your team on how the system is built and run. When the time is right, we step out so you can own and control it.