We help startups, SMEs, product teams, and investors assess, design, and improve AI-driven systems — from feasibility and technical due diligence to applied R&D and prototyping.
Most challenges do not come from the model alone. They appear when AI needs to work with messy data, real-time constraints, evolving requirements, security risks, and production environments.
We step in when AI projects become technically complex, strategically important, or expensive to get wrong.
We evaluate AI ideas, products, architectures, and startups from a technical perspective — helping teams understand feasibility, risks, data requirements, and system bottlenecks before major investments are made.
We design and prototype custom AI and machine learning systems for technically challenging use cases where standard solutions are not enough.
We help organizations identify where AI can realistically improve internal workflows, automate processes, and support decision-making.
We support the technical side of research and innovation proposals, including AI architecture, feasibility, research methodology, and technical leadership.
Our AI experience did not start with the recent wave of AI adoption. For over 15 years, we have worked on applied AI, machine learning, data processing, speech technologies, network intelligence, and research-driven innovation. Today, we bring this long-term perspective to modern AI projects — understanding not only what is possible, but also what tends to fail in real-world conditions.
Voice agents, conversational & embedded speech systems
RAG, knowledge synthesis & structured data automation
Assistive speech tech & e-health intelligence
Resilient, self-managing IPv6 networks & autonomic systems
When you need to validate an AI product idea, reduce technical uncertainty, or design a system before investing in development.
When you want to understand where AI can improve internal workflows, automation, or decision-making — or when your existing team needs senior AI expert support for technically complex challenges.
When you need independent technical due diligence of an AI startup, product, architecture, or vendor claim.
When you need a credible technical concept, AI architecture, or research plan for an innovation project or funding proposal — supported by senior technical leadership with a proven R&D track record.
We combine applied research expertise with practical engineering experience. This allows us to understand both the scientific depth of AI systems and the business constraints behind real-world deployment.
Co-founder & CEO | Strategic AI Advisor
Monika combines 15+ years of experience in artificial intelligence, machine learning, and applied R&D with hands-on AI system architecture and implementation experience. Her expertise includes voice agents, voice biometrics, embedded AI, embedded LLM systems, and real-time multimodal interfaces.
She helps organizations evaluate AI ideas, design robust AI systems, and identify technical risks before costly development decisions are made.
Co-founder | AI Architect | R&D and Innovation Expert
Agnieszka brings close to 20 years of experience in research-driven innovation and technology development, including work on speech technologies, e-commerce solutions, data pipelines, and RAG systems.
As a former European Commission expert evaluating EU funding proposals, she brings strong insight into what makes innovation concepts technically credible and strategically sound. She supports clients in shaping robust R&D concepts, preparing strong research proposals, and leading applied R&D initiatives.
We are especially interested in AI projects with meaningful real-world impact — including healthcare, climate and environmental protection, longevity and wellness, e-commerce, green energy solutions, and eco-innovation.
If you are building, evaluating, or planning an AI system, we can help you understand what is technically feasible, what risks to expect, and what architecture makes sense.
