Enterprise-grade AI development

You’ve seen what AI can do. Getting it to run inside your security rules, your compliance requirements, and your existing systems is the hard part. We handle that end-to-end, from first workshop to production.

Talk to an Engineering Consultant →

Trusted by great companies

This service is for companies that…

Tried building AI in-house and stalled somewhere between prototype and launch
Need AI that clears security, legal, and compliance review
Have data across a dozen systems and no clear way to put it to work
Answer to a board that wants AI results, not AI experiments

We don’t stop at a pilot

We help enterprises move from a working prototype to an AI system that’s actually running inside their infrastructure, with the reliability and oversight that requires.

Capacity-planning platform that processes 400,000+ daily reservations

Modernized processes and saved $100M+ for a Norfolk Southern

We built a powerful reservation platform that gives the client’s teams full control over intermodal train capacity. With real-time data, automated workflows, and deep system integrations, the system is transforming their operations—cutting waste, increasing efficiency, and delivering substantial cost savings. Read case study →

I would strongly recommend DECODE to anyone looking for software development. From the outset, the engagement felt like a true partnership rather than a traditional vendor relationship.
Chris Ingraham
AVP of Operations Infrastructure & Efficiency at Norfolk Southern

Combined 12 tools into 1 platform for a US wealth management firm

We ran product discovery and built a custom operations platform from scratch, replacing a dozen disconnected tools with a single system for client hierarchies, advisory workflows, document management, and compliance, all in one place.

Read case study →

Built an all-in-one business platform for a $50M-funded AI startup

We partnered with an Australian AI startup to build a unified business platform, where we expanded their engineering capacity and delivered key AI features using Ruby on Rails, React, and major AI integrations. Read case study →

DECODE doubled my development team in 24 hours.
Tom Allen
Product Manager at Decidr

Helped health professionals deliver supplement plans with a digital platform

We built a platform that helps health professionals assess clients through structured questionnaires, review results, and create personalized supplement plans. It connects to the client’s product catalog, supports ordering, and includes tools like scheduling, client dossiers, and AI-assisted notes. Read case study →

DECODE is down to earth and has no ivory tower.
Koen Robinne, CIOO, Supplentia

Our process

Phase 1

Mapping where AI creates real leverage

We look at your workflows, your data, and where security and compliance will actually push back, before we design anything.

Team involved — Solutions Architect, Business Analyst, Senior Software Engineer

Phase 2

Building against your actual constraints

We design the system around your existing infrastructure, access controls, and audit requirements, not around a demo environment.

— Integrating AI into existing systems

— Build AI-powered solutions from scratch

Phase 3

Proving it works before it’s everywhere

We ship a working version inside your systems first, so security and compliance can review something real.

Phase 4

Running it in production, not just launching it

We build in the observability and safety checks that let you trust what the system did and why, long after it goes live.

Private AI for regulated industries

For projects with stricter privacy, security, or compliance needs, we can run AI models locally inside controlled infrastructure.

Spark is our dedicated AI workstation — equipped with an Nvidia GPU and 128 GB of RAM — built specifically for running and training models in-house.

That means your data isn’t sent to external providers or public AI APIs during experimentation, testing, or integration.

This allows us to prototype, train, and refine systems without exposing sensitive documents, internal processes, or proprietary information to third parties.

Great, but why DECODE?

Security built in, not bolted on

We’re ISO/IEC 27001 certified, and we build with secure coding practices, access control, and audit trails from day one, extending to HIPAA, GDPR, or SOC 2 alignment depending on what your industry requires.

Senior engineers who’ve actually shipped AI in production.

We hire the top 1.5% of applicants. 42% hold an M.S. in Computer Science, and many have hardened AI systems for enterprise clients, not just built prototypes for a portfolio.

One team, one project

The engineers who scope your AI system are the ones building and running it. No handoff to a different team once the contract’s signed.

Talk AI with an Engineering Consultant, not a salesperson.

We get on a call and go through your actual situation, not a pitch deck. Here’s what that conversation covers:

Where AI can actually clear your security and compliance review, and where it can’t (yet).
What’s realistic to build against your existing systems without a full rebuild
Which use case is worth funding first, and which ones can wait
What it takes to get from a working pilot to something your team can run and trust long after we’re gone
If it’s not worth building yet, we’ll tell you that too

Book a time

or Request a proposal

You’ll speak directly with Marin, a senior engineering consultant with 25+ years of international experience. Connect with him on LinkedIn.

OUR AI TECH STACK

Platforms

OpenAI

Anthropic (Claude)

Gemini

Hugging Face

Llama

Frameworks

PyTorch

TensorFlow

LangChain

Streamlit

Databases

PostgreSQL

MySQL

Cassandra

Redshift

Vector databases

Pinecone

Qdrant

Chroma

This could be the start of a great partnership

Want to get in touch? Just fill in the short form below, or skip to the bottom to arrange a chat direct with our client strategy specialist. Either way, we’ll be back in touch as soon as we can to arrange an informal call.

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Still unsure about something?

Don’t worry, whatever it is, we’ve got you covered in our FAQ.

How much does enterprise AI development cost?

Hard to say precisely without knowing your scope, that’s what moves the number most. As a rough ballpark, a scoped agentic workflow or AI feature engagement typically runs €150k to €300k. Larger or longer-running programs, especially ones that include modernization work, tend to land at €500k+. The real number comes out of the first conversation, once we understand what you’re actually building.

What does a typical engagement look like, and who are we actually working with?

Most enterprise AI engagements run as a dedicated team or team extension, senior engineers working inside your systems and your review process from day one. You’ll have a direct point of contact throughout, not a rotating cast, and you can connect directly with Marin, our Chief Client Officer, before committing to anything.

Are we locked into one AI vendor if we work with you?

No. We build across OpenAI, Anthropic, Gemini, and open-source models, so your architecture doesn’t depend on one company’s pricing or roadmap. If a model provider changes course, you’re not stuck rebuilding from scratch.

Do we actually need AI here, or is this really a modernization problem?

Often the latter, and we’ll say so. A lot of AI projects stall because the underlying system can’t support them: no structured data, no real-time visibility, no single source of truth.

How do you handle integration with a dozen existing enterprise systems?

We start discovery by mapping your actual systems and where they’ll push back, not just the happy path. Integration work gets scoped up front, based on your real infrastructure and access controls, not discovered mid-build.

Can you run AI models without our data leaving our infrastructure?

Yes. For regulated environments, we run models locally on Spark, our in-house AI workstation, so nothing is sent to external providers or public APIs during development, testing, or integration.