Quovia builds AI systems that understand how your organization thinks — not just what it stores. From knowledge architecture to production at scale.
SkiLLM · xAPI / LRS · LLM Fine-Tuning · Agentic Workflows · RAG Architecture
Every organization has a knowledge topology: what it knows, where it lives, how it flows through decisions. Most AI implementations ignore this completely — they bolt LLMs onto existing workflows and call it transformation.
Quovia starts with knowledge engineering. We map the cognitive structure of your domain before touching a model. That structure determines everything: retrieval strategy, context design, fine-tuning targets, agent topology.
The result is AI that behaves like a domain expert — not a general-purpose assistant with your company logo on it.
Thirty years of building systems at national scale teaches you what matters. Not the model — the architecture around it.
Every engagement is led by a serial founder who has written core systems from scratch across five ventures. Not a project manager — an architect who still codes.
We operate AI and data infrastructure at the scale of a country's entire education system: 10M+ learning events per day, hundreds of thousands of concurrent users.
Working AI products with measurable ROI. Not decks, not pilots that never ship. Every engagement ends with systems in production and KPIs attached to them.
A focused methodology that eliminates the discovery theater common in large consultancies. We move fast because we've done it before — five times.
We map your organization's knowledge topology — what you know, where it lives, how it flows — before touching any model. This step typically reveals the actual problem, which is rarely what was initially described.
Model selection, retrieval strategy, agent topology, context design, evaluation framework. Every technical decision is proposed and justified before a line of code is written.
Working prototype in weeks, on real data. We validate business hypotheses before committing to production infrastructure — and we're comfortable telling you when the hypothesis is wrong.
Full deployment, monitoring, and knowledge transfer to your team. You own the system — not a black-box dependency. We stay on for architecture reviews as you scale.
Deep expertise in domains where language, knowledge, and decision-making intersect at scale.
Adaptive learning systems, LLM-integrated tutoring, SCORM/xAPI infrastructure, curriculum personalization. Our deepest vertical — we built the platform used by the Israeli Ministry of Education at national scale.
Learn moreDocument intelligence, regulatory compliance automation, risk assessment, and investment research augmentation. From fintech startups to institutional-scale data pipelines.
Learn moreAI scheduling, demand forecasting, route optimization, operations intelligence. Proven with a SAT-solver engine that cut empty-run kilometres by 23% on a live 100-bus fleet.
Learn moreHow do LLMs represent your brand? We build diagnostic systems that identify AI misrepresentation at the source — entity signals, knowledge graph gaps — and prescribe commercially-tied remediation.
Learn moreOrganizational memory systems, internal search, expert system capture, AI-augmented decision support. We specialize in the hard problem: making tacit organizational knowledge computable.
Learn moreNational-scale platform design with appropriate privacy, sovereignty, and compliance constraints. Direct experience working with ministerial technology divisions on large public infrastructure.
Learn moreWe design the complete cognition stack — from raw data ingestion to the model interface your users actually touch.
Most consultancies deliver one layer and hand off the integration risk to you. We architect and build the complete system — data to interface — and we're accountable for how it performs end to end.
Government, education, and financial services operate under strict data sovereignty and audit requirements. Our architecture meets these constraints from day one — not retrofitted at the end.
We select the right model for the task — Anthropic, OpenAI, open-source, or hybrid. Our architecture doesn't lock you into any single provider's pricing or capability curve.
Serial technical founder with thirty years of building systems from zero — and consistently the hands-on architect who writes the core systems while building the R&D organizations around them.
Most recently, built and operates the technology backbone of Israel's national digital education system: an AI and data platform serving hundreds of thousands of learners daily, developed in direct partnership with the Ministry of Education's technology division. Annual revenue: ₪12M.
Prior to that, founded Ethrix — a telecom infrastructure company operational for fourteen years, scaling to 40+ engineers and millions of daily active users across international deployments. Deep expertise in distributed systems, real-time protocol engineering, and the full engineering arc from MVP to international scale.
Currently based in Limassol, Cyprus. Engages globally.
Quovia didn't just implement AI tools — they built a system that actually understands how our organization thinks. The difference in output quality was immediate and measurable.
Deep technical relationships with the leading AI labs — giving clients model selection guidance, early access, and informed architecture choices.
We work with a small number of clients at a time. Tell us what you're building — we'll tell you in one conversation whether we're the right fit.