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GenAI-driven solutions

Accelerate AI-driven software development with NVIDIA and Eficode

Bridge between Dev and AI

The expertise you need to integrate AI into software development

Generative AI (GenAI) is transforming software development, but successful AI adoption requires more than just implementing new tools and technology. Organizations need a structured approach to seamlessly integrate AI into their Software Development Lifecycle (SDLC) and processes, ensuring efficiency, collaboration, and future scalability.

As an NVIDIA-certified partner, we build the future of software development and provide expertise in AI-driven DevOps—helping enterprises optimise workflows, automate tasks, and enhance decision-making across development processes.

We build a plan—you execute it

Our certified DevOps and AI specialists help organizations strategically adopt GenAI by assessing existing workflows, mitigating risks, and implementing AI solutions that drive real impact. By leveraging NVIDIA NeMo and NVIDIA NIM microservices, we ensure seamless AI integration in cloud, on-prem, or hybrid environments. Our phased approach helps businesses move from using and innovating business cases to full-scale AI adoption, increasing efficiency and Developer Experience (DevEx) while reducing operational complexity.

Our three-phased approach helps businesses move from GenAI Foundation (assessment and roadmap) to GenAI experimentation (Proof of Value) and full-scale AI adoption, acceleration, and support, increasing efficiency while reducing operational complexity.
Aki Roivanen

Aki Roivanen

Email Aki Roivanen

+358 44 7324 287

Our AI readiness assessment and roadmap

When working with us, we’ll analyse your current situation GenAI architecture through an assessment and provide our expertise. We’ll also identify use cases where GenAI can provide value within your organisation’s value streams. We’ll also provide a collaborative roadmap designed for specific use cases and hands-on training through workshops to upskill your teams.

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Our three-phase approach to integrating AI into software development

1. GenAI foundation

We help to build the AI business case, and assess the infrastructure and workflows, providing organizations with a strategic roadmap for AI adoption. NVIDIA’s NIM platform enables flexible deployment across on-premises, multi-cloud, and hybrid environments. Hands-on training workshops ensure teams are ready to implement AI-powered solutions.

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2. GenAI capability

We develop, test, and deploy custom AI agents and assistants using NVIDIA’s NeMo platform to address key workflows:

  • Align requirements and specifications across teams.
  • Automate test generation to improve software quality, 
  • Modernize and optimise legacy code.
  • Validate AI solutions in real-world environments, enabling organizations to scale incrementally.
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3. GenAI acceleration and support

NVIDIA’s AI infrastructure ensures continuous optimization and lifecycle management for agents and assistants while extending your GenAI infrastructure’s capabilities. We maintain your data governance and safeguards and provide training, adaptation, and support.

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Find out how we can help empower your organisation with AI-powered software

Learn more about our collaboration with NVIDIA

NVIDIA is a world-leading software company that designs and supplies graphics processing units (GPUs), application programming interfaces (APIs) for data science and high-performance computing, and system-on-a-chip units (SoCs) for mobile computing and the automotive market. NVIDIA is also a leading supplier of AI hardware and software.

We’ve collaborated with NVIDIA to accelerate the adoption of GenAI in software development. By combining our DevOps expertise with NVIDIA AI Enterprise technologies, we help businesses integrate AI-powered automation into their SDLC efficiently and securely.

With our expertise in DevOps and AI implementation, we understand how NVIDIA’s full stack of products and services intersects with their ecosystem and alliances with server OEMs, like Dell Technologies and Arrow ECS  (Enterprise Computing Solutions), and cloud service providers, including Amazon Web Services, Microsoft Azure, and Google Cloud.