Speed vs. Security
Employees are using public ChatGPT with sensitive data. Compliance is complex, EU AI Act and internal policies are slowing you down. Meanwhile, legacy system integration remains a barrier to AI deployment.
The result? Endless POC projects that never scale.
Our approach: Controlled, secure, and ready to scale.
Private LLM & Central AI
Deploy open-weight models (Llama 3, Mistral) in your VPC, AWS Bedrock, or On-Premise. Your data never leaves your secure network.
AI Center of Excellence
Set up internal structures, roles, and policies for centralized AI adoption management. Unified governance and risk minimization.
Modernization & Integration
Connect core systems with modern AI capabilities through robust API layers.
AI Readiness Audit: Technology, Data & Skills
Governance & Compliance: EU AI Act Preparation
Custom LLM Development & Fine-tuning
Employee Education & Upskilling
Petra Brýdlová
Project Manager
“Extraordinary work commitment”
Coordinating integration tests and debugging is always difficult, plus we had to deal with issues from six teams of participating banks at once. Thanks to the people from DX Heroes, everything went smoothly and we managed to solve all integration problems in various systems. DX Heroes demonstrated not only perfect work organization and extraordinary work commitment, but also a proactive approach in many crisis situations we dealt with. I especially appreciate the ability to reach consensus across different solution teams and bring everything to a successful conclusion.
Have Any Questions?
How do you handle data security and privacy?
We implement enterprise-grade security with end-to-end encryption, strict access controls, and compliance with GDPR and industry standards. Your data never leaves your secure environment, and we can deploy fully on-premise if required.
Can you integrate AI with systems like SAP or Mainframe?
Yes. We specialize in connecting modern AI capabilities with legacy enterprise systems through robust API layers and middleware. Our team has extensive experience with SAP, Oracle, IBM mainframes, and other enterprise platforms.
What is the timeline for an Enterprise AI pilot?
Typically 8-12 weeks for an initial pilot, depending on complexity. We start with a 2-week discovery phase, followed by implementation and testing. Our goal is to deliver measurable results quickly while ensuring enterprise-grade quality.
Do you provide support for EU AI Act compliance?
Yes. We ensure all AI implementations comply with EU AI Act requirements, including risk assessment, transparency documentation, human oversight provisions, and ongoing compliance monitoring. We stay updated on regulatory changes and help you adapt accordingly.
From Pilot to Production
Let's design a secure AI future for your organization together.
Prokop Simek
CEO
With over 12 years of experience in software engineering, I help our clients effectively bridge business goals with technology.