AI Transformation Services

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  • MOVE PILOTS INTO PRODUCTION

    Take AI out of isolated experiments and into live workflows, with success metrics agreed before the build starts.

  • EMBED AI WHERE WORK HAPPENS

    Put AI inside your ERP, CRM, and internal tools, so teams use it without switching systems.

  • SCALE ONE USE CASE AT A TIME

    Each new use case reuses the data pipelines, controls, and delivery process built for the first one.

Why Devox Software

AI that reaches production: 100+ engineers and 70+ deliveries since 2018

Devox Software is a US-based engineering company founded in 2018, with 100+ engineers and 70+ international deliveries. We take AI from use case discovery through data pipelines, model development, and system integration to production rollout.

Every project runs on the AI Solution Accelerator, our delivery playbook. It sets the tests, review points, and release criteria each AI component must pass before it reaches production, so AI scales in steps your stakeholders can check.

Modernizing unstable systems? Launching new products?

We build development environments that deliver enterprise-grade scalability, compliance-driven security, and control baked in from day one.

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What We Offer

What We Offer

AI-Native Operating Model

Each AI initiative gets an owner, a budget, and a success metric, tracked in one place.

AI-Embedded Interfaces

AI works inside your CRM, ERP, and internal tools, so nobody has to copy data into a separate chat window.

Decision Intelligence Backbone

Do teams question which numbers to trust? Every metric gets one definition and one source, shared by your reports and your AI models.

Production-Grade AI Delivery

Does AI struggle to move beyond experiments? Each AI component passes the same tests and release checks as the rest of your software.

Our Services

AI Transformation Services We Deliver

  • AI Readiness Assessment

    We review your processes, data, and infrastructure to find where AI can deliver measurable value and what blocks it today. You get a ranked list of use cases and the gaps to close before the first build. See our. See our legacy modernization services for details.

  • AI Strategy Consulting

    We connect AI investment to your business goals and decide which use cases go first, second, and later. You get a phased roadmap with budgets, KPIs, and decision points for each phase.

  • AI-Native Core Infrastructure

    We set up the infrastructure AI needs to run inside your core systems: model hosting, access controls, monitoring, and cost tracking. Every new use case runs on the same foundation.

  • Data Infrastructure Setup

    We build the pipelines that bring your data into one consistent layer, with agreed metric definitions. Reports and AI models then work from the same numbers.

  • AI Integration and Development

    We build AI features into the systems your teams already use, such as ERP, CRM, and internal tools. People get AI help at the step where they make the decision.

  • Custom AI Product Development

    We build AI features into your product, trained or grounded on your own data. Because the data is yours, the feature is hard for competitors to copy.

  • AI Agents and Process Automation

    We replace fixed-rule automation with AI agents that handle exceptions and route only the unclear cases to people. Each agent works within set permissions and logs every action. See our AI development services.

  • Cultural & Talent Transformation

    We train your teams on the AI systems we build and pair your engineers with ours during delivery. By handoff, your people can run and extend the system on their own.

Our Process

Our Process

01.

01. Align

We define the specific business outcomes AI should impact, such as speed, cost, revenue, and risk, and establish clear success metrics. Everyone leaves with the same target and the same decision rules for what gets built first.

02.

02. Map

We turn your operations and products into a ranked set of AI opportunities. The output is a clear list of high-impact use cases tied to owners, inputs, and measurable business lift.

03.

03. Foundation

e fix the data and infrastructure gaps found in the assessment: data pipelines, access controls, and the environment AI will run in. The first use case can then go to production without workarounds.

04.

04. Build

We build the first use case on components the next ones can reuse: data connectors, knowledge bases, and agent tools. Each component is tested on your real data before release.

05.

05. Deploy

We release the use case into a live workflow, first to a small group of users, then to the whole team. Results are measured against the metrics set in the Align step.

06.

06. Scale

We roll out the next use cases from the ranked list on the same foundation. Each one takes less time than the last, because the data, controls, and delivery process are already in place.

  • 01. Align

  • 02. Map

  • 03. Foundation

  • 04. Build

  • 05. Deploy

  • 06. Scale

Engagement Models

Engagement Models for AI Transformation

01

AI Discovery Sprint

The starting point for companies early in AI adoption. We map your operations to a ranked list of AI use cases and assess data readiness for each. You finish with an agreed first use case and a rollout plan leadership can approve and budget.

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02

Project-Based Delivery

Devox takes one AI use case from data pipelines to production rollout, with a defined scope and success metrics agreed upfront. This model fits companies that have chosen a use case and need a team that owns delivery end-to-end.

Read more
03

Dedicated Team

A long-term team of ML, data, and software engineers that works through your AI roadmap, one use case after another. It suits companies planning continuous AI rollout across several functions, where the same engineers keep the context from release to release.

Read more
04

Build-Operate-Transfer (BOT)

Devox builds and runs your AI engineering function, then transfers the team, processes, and systems to your company. This model fits organizations that want in-house AI capability long-term and need production results while their internal team is still forming.

Read more
05

Staff Augmentation

ML engineers, data engineers, or MLOps specialists join your existing team to close a specific skill gap. It fits companies that already run AI in production and need to scale it faster. If an engineer turns out to be the wrong fit, Devox replaces them at its own cost.

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Case Studies

Our Latest Works

View All Case Studies
AI-Driven Intelligent Automation Engine for Multicountry Export Certification AI-Driven Intelligent Automation Engine for Multicountry Export Certification

AI-Driven Intelligent Automation Engine for Multicountry Export Certification

A modular, AI-powered platform that automates the generation of export certificates by extracting structured data from multi-format documents and rendering country-specific outputs.

Additional Info

Core Tech:
  • React
  • FastAPI
  • Python
  • Google Gemini API
  • pytesseract
  • PostgreSQL
  • Docker
  • AWS/Azure/GCP Cloud Services
Country:

Germany Germany

Intelligent Automation for Global Logistics Platform Intelligent Automation for Global Logistics Platform

Intelligent Automation for Global Logistics Platform

From a 30-year-old monolith to an AI-driven logistics platform: how Devox slashed shipment costs by 30% while accelerating operations

Additional Info

Core Tech:
  • .NET 7 microservices
  • SQL Server
  • Docker & Kubernetes
  • Azure DevOps CI/CD
  • Azure API Management
  • Python
  • Apache Kafka
  • Azure Data Factory
  • Prometheus/Grafana
Country:

USA USA

Scalable, AI-Powered TMS to Drive Market Expansion for a Logistics Company Scalable, AI-Powered TMS to Drive Market Expansion for a Logistics Company

Scalable, AI-Powered TMS to Drive Market Expansion for a Logistics Company

A logistics multi-module platform that helps manage parcel tracking, intelligent routing, barcode generation, and returns.

Additional Info

Core Tech:
  • Node.js
  • React.js
  • PostgreSQL
  • AWS Cloud Infrastructure
  • NetworkX
Country:

United Kingdom United Kingdom

Testimonials

Testimonials

Carl-Fredrik Linné                                            Sweden

The solutions they’re providing is helping our business run more smoothly. We’ve been able to make quick developments with them, meeting our product vision within the timeline we set up. Listen to them because they can give strong advice about how to build good products.

Darrin Lipscomb Darrin Lipscomb
Darrin Lipscomb United States

We are a software startup and using Devox allowed us to get an MVP to market faster and less cost than trying to build and fund an R&D team initially. Communication was excellent with Devox. This is a top notch firm.

Daniel Bertuccio Daniel Bertuccio
Daniel Bertuccio Australia

Their level of understanding, detail, and work ethic was great. We had 2 designers, 2 developers, PM and QA specialist. I am extremely satisfied with the end deliverables. Devox Software was always on time during the process.

Trent Allan Trent Allan
Trent Allan Australia

We get great satisfaction working with them. They help us produce a product we’re happy with as co-founders. The feedback we got from customers was really great, too. Customers get what we do and we feel like we’re really reaching our target market.

Andy Morrey                                            United Kingdom

I’m blown up with the level of professionalism that’s been shown, as well as the welcoming nature and the social aspects. Devox Software is really on the ball technically.

Vadim Ivanenko Vadim Ivanenko
Vadim Ivanenko Switzerland

Great job! We met the deadlines and brought happiness to our customers. Communication was perfect. Quick response. No problems with anything during the project. Their experienced team and perfect communication offer the best mix of quality and rates.

Jason Leffakis Jason Leffakis
Jason Leffakis United States

The project continues to be a success. As an early-stage company, we're continuously iterating to find product success. Devox has been quick and effective at iterating alongside us. I'm happy with the team, their responsiveness, and their output.

John Boman John Boman
John Boman Sweden

We hired the Devox team for a complicated (unusual interaction) UX/UI assignment. The team managed the project well both for initial time estimates and also weekly follow-ups throughout delivery. Overall, efficient work with a nice professional team.

Tamas Pataky Tamas Pataky
Tamas Pataky Canada

Their intuition about the product and their willingness to try new approaches and show them to our team as alternatives to our set course were impressive. The Devox team makes it incredibly easy to work with, and their ability to manage our team and set expectations was outstanding.

Stan Sadokov Stan Sadokov
Stan Sadokov Estonia

Devox is a team of exepctional talent and responsible executives. All of the talent we outstaffed from the company were experts in their fields and delivered quality work. They also take full ownership to what they deliver to you. If you work with Devox you will get actual results and you can rest assured that the result will procude value.

Mark Lamb Mark Lamb
Mark Lamb United Kingdom

The work that the team has done on our project has been nothing short of incredible – it has surpassed all expectations I had and really is something I could only have dreamt of finding. Team is hard working, dedicated, personable and passionate. I have worked with people literally all over the world both in business and as freelancer, and people from Devox Software are 1 in a million.

FAQ

FAQ

  • How long does AI transformation take?

    The first use case typically reaches production through a 4- to 6-week pilot after the readiness assessment. Each following use case takes less time because it reuses the same data pipelines and controls.

  • Where should we start if AI is scattered across several teams?

    With the readiness assessment. It puts every existing pilot and idea into one ranked list, so you can decide what to scale, what to merge, and what to stop.

  • Do we need to replace our current systems?

    No. AI is added to the ERP, CRM, and tools you already run. Where an old system blocks integration, we modernize only the part that stands in the way.

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We Fix, Transform, and Skyrocket Your Software.

Tell us where your system needs help — we’ll show you how to move forward with clarity and speed. From architecture to launch — we’re your engineering partner.

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