01
AI should earn trust
Trust should come from evidence: representative testing, measurable performance, source traceability, failure analysis, and predictable behavior where it matters.
About Relytic
Relytic exists to build the opposite.
AI has enormous potential to change how companies search for knowledge, process documents, automate work, and make decisions. But too many AI products are built to impress in a demo rather than survive real workflows.
We are an AI engineering company focused on building systems that are useful, measurable, and dependable in real-world use.
What we believe
Build AI systems people can rely on
Evaluation, failure analysis, traceability, and production engineering belong in the product from the beginning—not after the demo works.
02
Functional beats impressive
A polished prototype is not enough. The system has to work with the real documents, users, integrations, latency constraints, permissions, and edge cases it will face in production.
03
Evaluation is part of engineering
We do not separate building from testing. We define success, build, measure, find failures, improve, and measure again.
04
The problem comes before the model
We choose architectures, models, and infrastructure around the workflow instead of forcing every problem into the newest AI pattern.
Founder / AI Engineer
MA
Mohamed Abdelhamid
Founder
Mohamed Abdelhamid
Mohamed is an AI engineer whose work spans enterprise RAG and document intelligence, AI evaluation, computer vision, medical imaging, and production machine-learning systems.
He is a member of the Elite Network of Bavaria through LMU Munich's Elite Graduate Program in Data Science and a scholar in the Konrad Zuse School of Excellence in Reliable AI (relAI), a joint TUM-LMU initiative focused on reliable AI systems.
- M.Sc. Data Science — LMU Munich, Elite Graduate Program (final thesis in progress)
- B.Sc. Computer Science (Applied AI) — Innopolis University
- Research — published in IEEE Access on adversarial robustness and conceptual bottlenecks
How do we know the AI system actually works well enough to depend on?
What we are building
A specialist AI engineering company with a durable standard.
Relytic is being built with the ambition to grow into a world-class engineering organization. The technologies and the types of systems will evolve. The standard should not: strong engineering, measurable performance, and AI that earns the trust required for real use.
Next step
Want to build something that has to work in the real world?
Book a 30-minute conversation with Relytic to discuss the problem, the current workflow, and what a reliable AI system would require.