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Enterprise AI Development Services

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  • FROM PILOT TO PRODUCTION

    Your AI roadmap is scoped by engineers who have shipped enterprise AI systems to production.

  • CONNECT AI TO CORE SYSTEMS

    LLM, RAG, and agent systems plug into your current stack through APIs and adapters, with no platform rewrite.

  • GOVERN FROM THE FIRST SPRINT

    Audit logging and access control are designed in before any model reaches users.

What Enterprise AI Development Covers

Enterprise AI That Runs the Business

Devox Software is a US-based engineering company with development centers in Central and Eastern Europe. We take enterprise AI from a working demo to governed production software through our AI development services.

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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Why choose Devox Software

Enterprise AI Problems We Solve

  • Modernize
  • Build
  • Innovate

Models that never leave the pilot stage

We ship with MLOps, monitoring and CI/CD, so each model becomes a maintained service with an owner and a rollback path.

Siloed enterprise data

We build the pipelines, lineage and governance for enterprise data to refine for AI without breaking your source-of-truth systems.

Legacy systems that block AI rollout

We integrate through APIs, events, and adapters with no full rewrite needed to get AI into an older platform.

Assistants grounded in internal data

We build RAG systems with source citations and per-user access control, so answers stay accurate and permission-aware.

Agents that act inside business systems

We build agentic workflows with human-in-the-loop checkpoints, guardrails, and full audit logs so risky actions are blocked before they execute.

AI inside existing applications

We embed inference behind your authentication, APIs and data boundaries, so AI features work as part of the existing product.

Unclear ROI across AI initiatives

We run a scoped assessment that ranks use cases by expected ROI against implementation risk, so budget goes to what returns the most.

Slow path from idea to working pilot

We start with a two-week Discovery and build a pilot on your real data. Only what proves value in your environment moves to production, and our AI Solution Accelerator™ speeds up each stage.

Unverified model output in decision workflows

We add evaluation suites, guardrails, and live monitoring before anything reaches production.

What We Offer

Enterprise AI Development Solutions We Provide

  • Custom Enterprise AI Application Development

    Whether you’re launching a new AI-native platform or optimizing an existing enterprise system, we design and build custom enterprise AI applications built around your business processes:

    • Embedding AI into existing web, mobile, desktop, and enterprise apps without disrupting current operations
    • Developing intelligent copilots, recommendation engines, conversational interfaces, predictive analytics, and decision-support tools
    • Designing and optimizing scalable cloud-native architectures to support enterprise growth
    • Implementing and optimizing enterprise-grade security, monitoring, and governance across every AI component with AI transformation services

    Our enterprise AI application development is tailored to your business processes, data model, authentication system, and user experience, so the product fits your workflows from the first release.

  • Enterprise LLM and RAG Solutions

    Generate accurate, context-aware responses grounded in your trusted data. Our enterprise LLM and RAG services include:

    • Private enterprise assistants that answer from your internal documentation and knowledge bases.
    • Retrieval-Augmented Generation (RAG) pipelines with verifiable source citations and per-user and role-based access controls integrated with SharePoint, Microsoft 365, Confluence, CRM platforms, and enterprise databases.
    • Search across enterprise structured and unstructured data repositories with intelligent document extraction.

    Retrieval tuning and evaluation frameworks reduce hallucinations and keep answers consistent with your source documents and policies.

  • Agentic AI Development

    Get autonomous and semi-autonomous AI agents executing multistep workflows while remaining fully governed. Our custom agentic AI development services include:

    • Multi-agent systems that coordinate specialized tasks across departments and interact with other apps, APIs, databases, and business systems
    • Built-in guardrails, permission scoping, policy enforcement, and full audit logging
    • Automated workflow orchestration for customer service, finance, HR, operations, procurement, and compliance
    • Enterprise process automation to create fully connected end-to-end business workflows

    Every agent we build operates within clearly defined permission boundaries and includes safeguards to automate complex processes without sacrificing compliance.

  • MLOps and Production AI

    Deploy, monitor, govern, and continuously improve enterprise AI systems with automated deployment pipelines, continuous monitoring, model governance, and operational best practices. Our MLOps and production AI services include:

    • CI/CD pipelines for AI and machine learning
    • Version management to track model performance with automated evaluation frameworks
    • Continuous monitoring for prediction quality and model/data drift
    • Inference cost optimization through intelligent model routing, caching strategies, workload balancing, and infrastructure right-sizing
    • High-availability production infrastructure auto-scaling based on resilient cloud architectures
    • Security and governance controls (audit logging, access management, encryption, compliance reporting, and policy enforcement)
    • Retraining and continuous improvement to keep models accurate over time

    Combining robust MLOps practices with enterprise-grade software engineering, we ensure your AI systems remain reliable and cost-effective throughout their entire production lifecycle.

Our Process

How We Work

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01.

01. Assessment and Scoping

We start with your business goals, data landscape, and existing stack to ensure the optimal budget and effort distribution. As a result, you get a ranked shortlist of AI use cases scored on ROI and risk, each with a scoped delivery plan to agree.

02.

02. Pilot and Data Foundations

We build a working pilot on your real data and set up the pipelines and access model the production system will run on.

03.

03. Production Build

We push the pilot through production-environment testing into production software. Access control, data residency, audit logging, evaluation suites, and guardrails help to reinforce the security and governance, which are non-negotiable in enterprise-grade AI.

04.

04. MLOps and Hypercare

After release, we monitor accuracy, drift, cost, and uptime, run hypercare through stabilization, and keep the system improving as your data and usage grow, so you get long-term value from your investments.

  • 01. Assessment and Scoping

  • 02. Pilot and Data Foundations

  • 03. Production Build

  • 04. MLOps and Hypercare

Benefits

Value We Provide

01

Quality Excellence

Three internal offices review every engagement against agreed scope, timeline, and budget: project management, business analysis, and quality management.

02

Lower Time-to-Market

We shorten AI delivery through AI Solution Accelerator™, based on proven engineering practices, including automated testing, CI/CD pipelines, Infrastructure as Code (IaC), static code analysis, automated security checks, and reusable cloud infrastructure components.

03

Full Lifecycle Support

We cover the full path from strategy and architecture to production deployment and MLOps. After launch, we track model performance and adjust the system as business requirements change.

04

Security by Default

We engineer enterprise AI solutions with role-based access control (RBAC), encryption, data residency, comprehensive audit trails, secure API integrations, and identity management.

How We Can Work Together

Choose the Setup That Fits the Work

01

Discovery Sprint

Figure out the work before you fund the build.

If the idea is clear but the scope still has question marks, we start here. Over two weeks, we work through the requirements, architecture, dependencies, risks, and delivery plan.

You leave with a written scope, backlog, architecture, and costed estimate. It’s yours whether you build with us or take it somewhere else.

Good fit when you need a reliable number before committing the development budget.

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02

Project-Based Delivery

Give us the scope. We own the delivery.

Once the scope and date are agreed upon, our team runs the project from planning through release. We manage the day-to-day work, surface risks early, and show you working software as the project moves forward.

Your team stays involved where it matters, without having to manage another delivery team internally.

Good fit when the outcome and deadline are defined, and you want one partner accountable for getting there.

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03

Dedicated Team

Keep the roadmap. Add a team that can stay with it.

Some products are not really projects with a clean finish line. They have a roadmap that keeps moving.

In that case, we build a stable engineering team around the product. You continue to set priorities and product direction. We take care of the people, delivery setup, and day-to-day engineering operations.

Good fit when you have ongoing product work and need dependable capacity without rebuilding the team every few months.

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04

Build-Operate-Transfer (BOT)

Build the team with us. Take it over when you’re ready.

BOT makes sense when the end goal is not outsourcing forever. We assemble and operate the team first, put the delivery process and technical leadership in place, and then transfer that capability to you.

By the time the handover happens, you will inherit a functioning engineering operation.

Good fit when you want to establish your own long-term engineering team without building the whole operation from scratch.

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05

Staff Augmentation

Add experienced engineers to the team you already run.

If your process is working and you simply need more hands, there is no reason to add another management layer.

Our engineers join your existing team, work inside your tools and sprint cadence, and report through the structure you already have. You keep control of delivery. We handle employment, onboarding, and continuity on our side.

Good fit when you know exactly which skills or roles are missing and want to stay fully controlling delivery.

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Case Studies

Our Latest Works

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Custom Business Management Systems for a Freight Operator Custom Business Management Systems for a Freight Operator

Custom Business Management Systems for a Freight Operator

Spanning from order assessment to real-time reporting, the tailored transport and cargo management systems have streamlined operations and bolstered the client’s future progress.

Additional Info

Core Tech:
  • .NET
  • MS SQL
  • Query
Country:

Canada Canada

View Case Study
Juriba Juriba
  • Backend
  • Frontend
  • Cloud
  • DevOps & Infrastructure

Juriba: Enterprise Digital Workplace Management Platform for Migration & Automation

An enterprise-grade automation platform that streamlines IT project workflows through smart dashboards.

Additional Info

Core Tech:
  • .NET 6
  • MS SQL
  • Redis
  • Angular
  • NgRx
  • RxJS
  • Kubernetes
  • Elasticsearch
Country:

United Kingdom United Kingdom

View Case Study
Agentic AI System for Producer Settlement Reconciliation

Agentic AI System for Producer Settlement Reconciliation

An agentic reconciliation layer automated matching across weight tickets, contracts, and settlement records, cut manual effort by ~70%, and kept deterministic payout calculations within the client’s existing accounting environment.

Additional Info

Core Tech:
  • Python
  • OpenAI
  • PostgreSQL
  • AWS
View Case Study
Testimonials

Testimonials

Carl-Fredrik Linné Carl-Fredrik Linné
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.

Carl-Fredrik Linné
Tech Lead at CURE Media
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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.

Darrin Lipscomb
CEO, Founder at Ferretly
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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.

Daniel Bertuccio
Marketing Manager at Eurolinx
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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.

Trent Allan
CTO, Co-founder at Active Place
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Andy Morrey Andy Morrey
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.

Andy Morrey
Managing Director at Magma Trading
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.

Vadim Ivanenko
COO at Optherium
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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.

Jason Leffakis
Founder, CEO at Function4
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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.

John Boman
Product Manager at Lexplore
View on Clutch
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.

Tamas Pataky
Head of Product at Stromcore
View on Clutch
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.

Stan Sadokov
Product Lead at Multilogin
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.

Mark Lamb
Technical Director at M3 Network Limited
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FAQ

Frequently Asked Questions

  • What does enterprise AI development include?

    Enterprise AI development covers the full process from use case scoping to governed production system optimization and maintenance. It includes data pipelines, model or LLM build, security and access control, integration with existing systems, and MLOps. There, the model is a smaller part, while most of the work is the engineering and governance around it.

  • How is enterprise AI software development different from a standard AI build?

    Enterprise AI software development adds the requirements a regulated business has to meet: role-based access control and data residency, along with audit logging and deep integration with existing systems.

    A standard build proves an idea works. An enterprise build makes it secure and reliable enough to run the business on.

  • How do you integrate AI with our existing enterprise systems?

    We connect AI to your current CRM and ERP systems, as well as data warehouses, via APIs, events, and adapters. In the case of legacy platforms, we integrate AI without a full rewrite through middleware, so AI reaches the systems where the work actually happens.

  • How do we choose an enterprise AI development company?

    When choosing an enterprise AI development company, weigh a real production track record over demos. Check how they handle security, compliance, and integration issues. Ask for a case study that explains their governance and MLOps practices and shows a measurable outcome.

  • How long does an enterprise AI development project take?

    Every project starts with a two-week Discovery. During it, we assess your data and existing systems and agree on a scoped delivery plan with milestones. The timeline for the pilot and the production release depends on data readiness and compliance scope, and it is fixed in that plan.

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