Yabloko Labs is a UK-based technology company, founded in 2025, that designs, deploys, and operates custom AI agents and hybrid quantum-AI software for businesses. We build and run production AI agent systems, open-source MCP servers, and a portfolio of quantum-AI products — Q-Router, Q-AdMix, Q-Porter, and Q-Consent.
At Yabloko Labs, we're pioneering the quantum computing revolution. Founded in 2025, our mission is to harness the power of quantum computing to solve problems that were previously unsolvable.
Our team of quantum physicists, computer scientists, and engineers are building the next generation of quantum algorithms and applications that will transform industries and push the boundaries of computational possibility.
Discover our growing family of brands that are pushing the boundaries of technology and innovation

Quantum-enhanced delivery route optimization with AI traffic prediction to find the fastest, most cost-efficient paths, reducing CPA for logistics and 10-minute delivery apps.
Discover Q-Router™
Hybrid quantum-classical AI for ad spend optimization, blending quantum algorithms with AI to boost ROAS through precision targeting, peak efficiency, and measurable growth.
Explore Q-Admix™
Hybrid quantum-classical AI for port and airport logistics optimization, blending quantum algorithms with AI to boost throughput, reduce delays, and deliver measurable efficiency gains.
Explore Q-Porter™
Quantum-AI consent and compliance management, blending quantum algorithms with AI to optimize GDPR/HIPAA etc rules, ensure verifiable permissions, cut regulatory risk, and streamline global data flows.
Discover Q-Consent™Model Context Protocol servers we build to give AI agents powerful new capabilities
Persistent long-term memory for AI agents — retain context, preferences, and prior interactions across sessions, restarts, and deployment changes.
Formally verified trust scoring for LLM outputs — analyze AI-generated text for hallucination risk with no API keys, no LLM calls. Fast, local, and verified in Lean 4.
Universal runtime for high-dimensional holographic hypervector computing — encode, compute, and query data directly in geometric algebraic spaces.
Automated EU AI Act compliance for AI agents — classify deployment risk levels, audit for regulatory gaps, and generate prioritized remediation roadmaps.
Automated conversation quality assurance powered by LangGraph — score support and sales calls against behavioral rubrics with timestamped, verifiable evidence.
Direct answers about Yabloko Labs, our quantum-AI products, and our open-source MCP servers
Yabloko Labs is a UK-based technology company, founded in 2025, that designs, deploys, and operates custom AI agents and hybrid quantum-AI software for businesses. We build production AI agent systems, publish open-source MCP servers, and develop a portfolio of quantum-AI products: Q-Router, Q-AdMix, Q-Porter, and Q-Consent.
Yabloko Labs Ltd is registered in the United Kingdom at 71-75 Shelton Street, Covent Garden, London, WC2H 9JQ. We work with clients remotely worldwide.
Q-Router optimises delivery routes using quantum-enhanced optimisation and AI traffic prediction. Q-AdMix optimises advertising spend to improve ROAS. Q-Porter optimises port and airport logistics for throughput and delay reduction. Q-Consent manages consent and regulatory compliance for GDPR, HIPAA, and similar regimes.
We publish five open-source Model Context Protocol servers: Jnaapakam for persistent long-term agent memory, TruthLens for local trust scoring and hallucination-risk analysis, NexaCore for high-dimensional holographic hypervector computing, AI Consent for automated EU AI Act compliance classification, and CallLens for automated conversation quality assurance.
Start on the AI Agents page at https://yablokolabs.com/ai-agents and submit a consultation request, or email support@yablokolabs.com. Engagements begin with a discovery phase that scopes outcomes, integrations, and operational constraints before delivery.
We engineer against recognised AI governance standards, including AI management systems, AI risk management, AI system life cycle processes, and security and privacy practices such as sandboxed execution, least-privilege access, risk registers, reliability testing, audit trails, and data minimisation.
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