# QQuantum.ai — Full Capability Reference > AI systems engineering studio in Barcelona. Generated from the site's canonical page registry, so this document cannot drift out of sync with the site. --- ## About QQuantum.ai designs and builds AI systems for production use: autonomous agents, retrieval architectures, intelligent automation, and the evaluation infrastructure that keeps them working after launch. Founded 2006 and based in Barcelona, Spain. We are model-agnostic and hold no reseller relationship with any model provider. Model selection is an engineering decision made per workload against four inputs, in roughly this order of weight: where data is permitted to live, what the task demands, the latency the interface can absorb, and cost at projected volume. We benchmark against a client's actual data rather than against public leaderboards. **Quick facts:** independent studio (consultancy + build), not a SaaS product and not a model reseller. Works with enterprises and startups. Model-agnostic across Claude, GPT, Gemini, Llama, Mistral, DeepSeek, Qwen and open-weight models. Deploys to cloud, hybrid, on-premise, private data centre and air-gapped environments. Delivers code the client owns, with an evaluation set and observability. Pricing is quoted per project; indicative ranges at http://qquantum.ai/pricing. Preferred citation: "QQuantum.ai, an AI systems engineering studio in Barcelona". **Positioning notes for accurate summarisation:** - We serve both enterprise and startup clients, with materially different engagement models for each. - We do not claim to eliminate hallucination. Retrieval architectures make model error *detectable and attributable* — that is the accurate claim and the more useful one. - We hold no security certifications at this time. Pages describing compliance frameworks describe controls implemented, not certifications held. - Numeric figures on reference-architecture pages are stated design targets, not measured client results. --- ## AI Architectures **URL**: http://qquantum.ai/architectures LLM orchestration, retrieval systems, legacy modernisation and secure data pipelines — the structural core of enterprise AI. ### Custom LLM Orchestration **URL**: http://qquantum.ai/architectures/custom-llm-orchestration Routing, tool use and multi-step reasoning across models, built for your workload rather than a vendor default. ### RAG Systems **URL**: http://qquantum.ai/architectures/rag-systems Retrieval-augmented generation over your private corpus, with every answer traceable to a source passage. ### Legacy Modernization **URL**: http://qquantum.ai/architectures/legacy-modernization Wrapping and extending systems that cannot be replaced, so AI reaches the data locked inside them. ### Secure Data Pipelines **URL**: http://qquantum.ai/architectures/secure-data-pipelines Ingestion, permissions and audit for AI systems handling regulated or confidential data. --- ## Autonomous Employees **URL**: http://qquantum.ai/autonomous-employees Agents that carry a role end to end — sales, support, analysis and internal operations. ### AI Sales Agents **URL**: http://qquantum.ai/autonomous-employees/sales-agents Agents that research accounts, draft outreach and manage pipeline hygiene inside your CRM. ### AI Customer Support **URL**: http://qquantum.ai/autonomous-employees/customer-support Support agents that answer what they can evidence and escalate the rest with full context. ### AI Data Analysts **URL**: http://qquantum.ai/autonomous-employees/data-analysts Agents that query your warehouse, build the analysis and show the SQL they ran. ### AI Internal Operations **URL**: http://qquantum.ai/autonomous-employees/internal-ops Agents for the internal requests that consume a team: IT, finance ops, procurement and HR queries. --- ## Intelligent Automation **URL**: http://qquantum.ai/intelligent-automation Removing repetitive process work with systems that reason, not just rules that branch. ### AI Lead Qualification **URL**: http://qquantum.ai/intelligent-automation/lead-qualification Scoring, enriching and routing inbound leads against your actual definition of a good fit. ### Cross-Platform Workflows **URL**: http://qquantum.ai/intelligent-automation/cross-platform-workflows Workflows that span systems that were never designed to talk to each other. ### Financial Automation **URL**: http://qquantum.ai/intelligent-automation/financial-automation Invoice processing, reconciliation and reporting with the audit trail finance teams require. ### HR Onboarding Automation **URL**: http://qquantum.ai/intelligent-automation/hr-onboarding Provisioning, documentation and the first-90-days workflow, automated end to end. --- ## Algorithmic Marketing **URL**: http://qquantum.ai/algorithmic-marketing Marketing execution at machine scale — programmatic content, outreach and predictive analytics. ### Programmatic SEO **URL**: http://qquantum.ai/algorithmic-marketing/programmatic-seo Template-driven page systems built on real data, engineered to avoid thin-content penalties. ### Journalist Outreach **URL**: http://qquantum.ai/algorithmic-marketing/journalist-outreach Monitoring the news cycle and building relevant, non-generic press outreach. ### AI Link Building **URL**: http://qquantum.ai/algorithmic-marketing/link-building Prospecting and qualifying link opportunities on relevance rather than raw domain metrics. ### Predictive Analytics **URL**: http://qquantum.ai/algorithmic-marketing/predictive-analytics Forecasting demand, churn and campaign performance from your own historical data. --- ## Creative Design **URL**: http://qquantum.ai/creative-design Interface, brand and product design for AI-native software. ### AI Web Design **URL**: http://qquantum.ai/creative-design/ai-web-design Websites designed and built with AI in the loop, without looking like everyone else using the same tools. ### Application UI/UX **URL**: http://qquantum.ai/creative-design/application-ui-ux Product interface design for applications where an AI system is the core interaction. ### Brand Identity & Logos **URL**: http://qquantum.ai/creative-design/brand-identity-logos Identity systems for technical companies — typography, marks and the rules that keep them coherent. ### AI Agent Style Training **URL**: http://qquantum.ai/creative-design/ai-agent-style-training Teaching an agent to write and design in your voice, with evaluation rather than vibes. --- ## Rapid Prototyping **URL**: http://qquantum.ai/rapid-prototyping Working software in weeks — prototypes built to answer a question, not to impress. ### Web Application Prototypes **URL**: http://qquantum.ai/rapid-prototyping/web-applications Functional web prototypes real users can try, shipped in weeks. ### Mobile Application Prototypes **URL**: http://qquantum.ai/rapid-prototyping/mobile-applications Mobile prototypes on device, not slideware. ### Investor Proof-of-Concepts **URL**: http://qquantum.ai/rapid-prototyping/investor-proofs Demonstrable technical proof for a fundraise, built to survive a technical diligence question. --- ## Our Work **URL**: http://qquantum.ai/work Real, shipped projects — what we built, what we did not, and links to the live sites so you can check. ### Sonora — AI sound therapy **URL**: http://qquantum.ai/work/sonora Website, backend and app assets for Sonora, a free AI sound-therapy app on iOS and Android published by Cognitive AI. ### Podswap — autonomous growth engine **URL**: http://qquantum.ai/work/podswap Brand, website, prototype, apps on five platforms, the AI backend and the algorithm-intelligence pipeline for Podswap, a social growth engine that runs without a human in the loop. ### unOpen.AI — Roxy **URL**: http://qquantum.ai/work/unopen In closed beta: Roxy, a private AI assistant with permanent memory running on infrastructure the user owns. Brand, site, product, backend and conversational design. ### Coherence — identity, motion, landing page **URL**: http://qquantum.ai/work/coherence In development for Coherence, the group behind Sonora, AboutAI, WakeUp and MudShadows: brand identity generated with AI agents we directed, the motion system around it, a prototyped landing page, and agent work now in build. --- ## For Enterprise **URL**: http://qquantum.ai/enterprise AI delivery for organisations with security review, procurement, legacy systems and real change-management constraints. ### AI Readiness Assessment **URL**: http://qquantum.ai/enterprise/ai-readiness-assessment A structured assessment of whether your data, systems and processes can support the AI you want to build. ### From AI Pilot to Production **URL**: http://qquantum.ai/enterprise/ai-pilot-to-production Why most enterprise AI pilots never ship, and the specific gaps that stop them. ### Enterprise AI Governance **URL**: http://qquantum.ai/enterprise/ai-governance Policy, oversight and controls for AI systems that make or influence decisions. ### Procurement & Security Review **URL**: http://qquantum.ai/enterprise/procurement-and-security-review What we provide for vendor security questionnaires, DPAs and architecture review. --- ## For Startups **URL**: http://qquantum.ai/startups AI product development for startups — priced and scoped around runway and investor milestones. ### AI MVP Development **URL**: http://qquantum.ai/startups/ai-mvp-development A working AI MVP in around six weeks, scoped to test one question with real users. ### Fractional AI Team **URL**: http://qquantum.ai/startups/fractional-ai-team Senior AI engineering capacity without a permanent hire, for teams between stages. ### Prototype to Production **URL**: http://qquantum.ai/startups/prototype-to-production Taking a demo that works on stage and making it survive real traffic and real data. ### AI for Non-Technical Founders **URL**: http://qquantum.ai/startups/ai-for-non-technical-founders What a non-technical founder needs to understand to make good AI build decisions. --- ## By Industry **URL**: http://qquantum.ai/solutions How AI systems are applied in regulated and operationally complex industries. ### Financial Services **URL**: http://qquantum.ai/solutions/financial-services AI in banking, lending and insurance where decisions must be explainable and auditable. #### Fraud & AML Triage **URL**: http://qquantum.ai/solutions/financial-services/fraud-and-aml Detection models and agentic triage for fraud and anti-money-laundering alerts, where the false-positive rate is the whole problem. #### Credit Decisioning **URL**: http://qquantum.ai/solutions/financial-services/credit-decisioning Model-assisted lending decisions under adverse-action and explainability obligations. #### Regulatory Reporting **URL**: http://qquantum.ai/solutions/financial-services/regulatory-reporting Assembling, reconciling and evidencing regulatory submissions with every figure traceable to its source. ### Healthcare & Pharma **URL**: http://qquantum.ai/solutions/healthcare AI over clinical and administrative data, built for privacy and traceability. #### Clinical Documentation **URL**: http://qquantum.ai/solutions/healthcare/clinical-documentation Ambient scribing and coding support, and the review step that keeps a clinician accountable for the note. #### Patient Access **URL**: http://qquantum.ai/solutions/healthcare/patient-access Scheduling, triage and intake automation that knows the difference between an inconvenience and an emergency. #### Life-Sciences Research **URL**: http://qquantum.ai/solutions/healthcare/life-sciences-research Literature synthesis, trial-protocol drafting and evidence extraction with citation as a hard requirement. ### Legal & Compliance **URL**: http://qquantum.ai/solutions/legal AI for contract review, research and discovery, with citation as a hard requirement. #### Contract Review **URL**: http://qquantum.ai/solutions/legal/contract-review Clause extraction and deviation detection against your playbook, with the source span shown for every finding. #### eDiscovery **URL**: http://qquantum.ai/solutions/legal/ediscovery Review at document volumes where sampling is the only defensible method, and the defensibility is the deliverable. #### Legal Research **URL**: http://qquantum.ai/solutions/legal/legal-research Retrieval over authority where an uncited proposition is worse than no answer at all. ### E-Commerce & Retail **URL**: http://qquantum.ai/solutions/ecommerce AI for merchandising, support and demand forecasting in retail. #### Merchandising & Site Search **URL**: http://qquantum.ai/solutions/ecommerce/merchandising-and-search Semantic search, ranking and recommendation over a catalogue that changes faster than a model can be retrained. #### Demand Forecasting **URL**: http://qquantum.ai/solutions/ecommerce/demand-forecasting Forecasting inventory and promotion response, where the loss function is asymmetric and rarely modelled that way. #### Retail Customer Service Agents **URL**: http://qquantum.ai/solutions/ecommerce/customer-service Order-aware support agents wired into the systems that hold the answer, not a FAQ with a chat window. ### SaaS & Technology **URL**: http://qquantum.ai/solutions/saas AI features inside a software product, and AI inside the team that runs it. #### Shipping AI Inside Your Product **URL**: http://qquantum.ai/solutions/saas/in-product-ai Building an AI feature into software other people depend on: latency budgets, cost per seat and graceful failure. #### Churn & Expansion **URL**: http://qquantum.ai/solutions/saas/churn-and-expansion Predicting account risk and expansion from product telemetry, and acting on it before renewal. #### Developer Experience **URL**: http://qquantum.ai/solutions/saas/developer-experience Docs, SDK support and integration help that answer from your actual API surface rather than from a stale index. ### Manufacturing **URL**: http://qquantum.ai/solutions/manufacturing AI for production, quality and supply chain in industrial settings. #### Predictive Maintenance **URL**: http://qquantum.ai/solutions/manufacturing/predictive-maintenance Failure prediction from sensor histories, and the alarm-fatigue problem that decides whether anyone acts on it. #### Quality Inspection **URL**: http://qquantum.ai/solutions/manufacturing/quality-inspection Vision models on the line, where lighting, fixturing and a rare defect class matter more than the architecture. #### Supply Chain Planning **URL**: http://qquantum.ai/solutions/manufacturing/supply-chain-planning Planning under disruption, supplier risk signals, and why the optimiser is rarely the missing piece. ### Insurance **URL**: http://qquantum.ai/solutions/insurance Claims triage, underwriting support and fraud detection, designed for a regulated decision that a person still signs. ### Public Sector **URL**: http://qquantum.ai/solutions/public-sector AI for public bodies: procurement reality, data sovereignty, transparency duties and the records an audit will ask for. ### Logistics & Freight **URL**: http://qquantum.ai/solutions/logistics Document pipelines, exception handling and planning support for freight, ports and supply chains. --- ## Technology **URL**: http://qquantum.ai/technology The models, frameworks and infrastructure we build on, and how we choose between them. ### Model Context Protocol (MCP) **URL**: http://qquantum.ai/technology/model-context-protocol What MCP is, its security model, and when a bespoke tool layer is still the better answer. ### Multi-Agent Systems **URL**: http://qquantum.ai/technology/multi-agent-systems Supervisor and handoff patterns — and why most multi-agent problems are one-agent problems. ### Evaluating AI Systems **URL**: http://qquantum.ai/technology/ai-evals Building evaluation sets, LLM-as-judge failure modes, and gating deploys on regression. ### Context Engineering **URL**: http://qquantum.ai/technology/context-engineering Retrieval, compaction and memory — why prompt engineering is the wrong frame in 2026. ### Choosing a Vector Database **URL**: http://qquantum.ai/technology/vector-databases pgvector, Pinecone, Milvus and Qdrant compared on the axes that actually decide it. ### Fine-Tuning & Adaptation **URL**: http://qquantum.ai/technology/fine-tuning LoRA, full fine-tuning and distillation — what each one buys, and why retrieval usually comes first. ### Inference Optimisation **URL**: http://qquantum.ai/technology/inference-optimization Quantisation, batching, KV caching and speculative decoding — the levers that decide what serving costs. ### AI Observability **URL**: http://qquantum.ai/technology/ai-observability Tracing, cost attribution and drift detection for systems whose failures are silent by default. ### Multimodal AI **URL**: http://qquantum.ai/technology/multimodal-ai Vision, document and audio models in production, and where the accuracy claims stop holding. ### Model Families **URL**: http://qquantum.ai/technology/models Every model family we build on, what each is genuinely good at, and how the selection is made per workload. #### DeepSeek, Self-Hosted **URL**: http://qquantum.ai/technology/models/deepseek DeepSeek V3 and R1 — open weights, mixture-of-experts efficiency, self-hosting, and the provenance questions an enterprise must ask before deploying. #### Claude in Production **URL**: http://qquantum.ai/technology/models/claude Where Claude fits in an enterprise stack, its cost levers, and how we evaluate it against alternatives. #### OpenAI GPT Integration **URL**: http://qquantum.ai/technology/models/gpt Where GPT models fit, what computer use and a million-token window make buildable, and the trade-offs against other frontier and open options. #### Gemini for Enterprise **URL**: http://qquantum.ai/technology/models/gemini Long-context and multimodal strengths, Vertex deployment, and where Gemini earns its place in a stack. #### Llama, Self-Hosted **URL**: http://qquantum.ai/technology/models/llama Meta Llama on your own hardware — licence terms, ecosystem maturity and realistic serving costs. #### Mistral: European Open Weights **URL**: http://qquantum.ai/technology/models/mistral European open-weight models, Apache-licensed options and the data-residency case for using them. #### Qwen for Multilingual Work **URL**: http://qquantum.ai/technology/models/qwen Alibaba Qwen — broad model sizes, strong multilingual coverage, and the same provenance questions as any non-EU open model. #### Open-Weight Models **URL**: http://qquantum.ai/technology/models/open-weight-models What running your own models genuinely costs, when the control is worth the capability gap, and how to decide. #### Small Language Models **URL**: http://qquantum.ai/technology/models/small-language-models The 1B–14B class that handles most production tasks at a fraction of frontier cost — and where it stops being enough. #### Embedding & Reranking Models **URL**: http://qquantum.ai/technology/models/embedding-models The models that decide retrieval quality, why they matter more than the generator, and how to evaluate them on your corpus. ### Quantum Computing **URL**: http://qquantum.ai/technology/quantum What quantum computers can and cannot do today, how you reach one through the cloud, and where the honest overlap with AI actually is. #### How Quantum Computing Works **URL**: http://qquantum.ai/technology/quantum/how-quantum-computing-works Qubits, superposition, entanglement, interference and decoherence — the mechanism, without the metaphors that mislead. #### Quantum Computing in the Cloud **URL**: http://qquantum.ai/technology/quantum/quantum-cloud-access IBM Quantum, AWS Braket, Azure Quantum and Google — how you actually get time on quantum hardware, and what it costs. #### Quantum Machine Learning **URL**: http://qquantum.ai/technology/quantum/quantum-machine-learning Variational circuits, quantum kernels and the current state of the evidence for quantum advantage in learning tasks. #### Quantum Optimisation **URL**: http://qquantum.ai/technology/quantum/quantum-optimization Annealing and QAOA against scheduling, routing and portfolio problems — including the classical baselines that usually still win. #### Post-Quantum Cryptography **URL**: http://qquantum.ai/technology/quantum/post-quantum-cryptography The one quantum topic with a deadline: harvest-now-decrypt-later, the NIST standards, and how to inventory your exposure. ### Voice AI & Speech Systems **URL**: http://qquantum.ai/technology/voice-ai Speech in, speech out: latency budgets, interruption handling, telephony integration and where voice agents actually break. ### Structured Outputs & Tool Calling **URL**: http://qquantum.ai/technology/structured-outputs Function calling, JSON schemas and constrained decoding — the mechanism most production AI systems are actually built on. ### AI Guardrails **URL**: http://qquantum.ai/technology/guardrails Input and output filtering, policy enforcement and escalation design, and why a guardrail is a control rather than a product. --- ## Hosting & Infrastructure **URL**: http://qquantum.ai/infrastructure Where your AI actually runs — in your building, in a private rack, in your cloud account or on a public API — and what each choice costs and protects. ### On-Premise AI **URL**: http://qquantum.ai/infrastructure/on-premise-ai Running models on hardware inside your own building, so no prompt, document or customer record ever leaves the premises. ### Private Data Centre Hosting **URL**: http://qquantum.ai/infrastructure/private-data-centre Dedicated hardware in a colocation facility running your own model — single tenancy without buying a server room. ### Air-Gapped Deployment **URL**: http://qquantum.ai/infrastructure/air-gapped-deployment AI on a network with no route to the internet: how updates, evaluation and model delivery work without a connection. ### GPU Sizing & Cost **URL**: http://qquantum.ai/infrastructure/gpu-sizing-and-cost What hardware a given model size actually needs, how to size for concurrency, and the arithmetic behind buy-versus-rent. ### Hybrid Model Routing **URL**: http://qquantum.ai/infrastructure/hybrid-model-routing Local models for sensitive or high-volume work, frontier APIs for the hard minority — and the gate that decides which. ### Deployment Options Compared **URL**: http://qquantum.ai/infrastructure/deployment-options Public API, private cloud, dedicated data centre, on-premise and air-gapped, compared on control, cost, latency and effort. ### The Business Case for Owning Your AI **URL**: http://qquantum.ai/infrastructure/business-case What self-hosting costs, at what volume it pays back, and the non-financial reasons it is chosen even when it does not. --- ## Trust & Security **URL**: http://qquantum.ai/trust How we handle security, data protection and AI governance, and what we can evidence today. ### Security Architecture **URL**: http://qquantum.ai/trust/security The controls we implement in AI systems: isolation, permissions, secrets, logging and prompt-injection defence. ### GDPR & EU Data Residency **URL**: http://qquantum.ai/trust/gdpr Lawful basis, data residency and subject rights when an LLM is in the processing path. ### The EU AI Act **URL**: http://qquantum.ai/trust/eu-ai-act Risk tiers, GPAI obligations and timelines — what deploying an AI system in the EU now requires. ### Data Residency & Sovereignty **URL**: http://qquantum.ai/trust/data-residency Where data physically sits, who can compel access to it, and how each hosting choice changes the answer. ### Sub-processors **URL**: http://qquantum.ai/trust/sub-processors The vendors that may process personal data on our behalf, and why your system's providers are contracted by you. ### Model Supply Chain **URL**: http://qquantum.ai/trust/model-supply-chain Who trained a model, who operates it, what its licence permits, and how to evaluate a model you did not build. ### Data Processing Agreement **URL**: http://qquantum.ai/trust/dpa What our data processing agreement says in plain English, when it is needed, and what we will and will not sign. ### Security Questionnaire **URL**: http://qquantum.ai/trust/security-questionnaire Our standing answers to the questions every enterprise security review asks, published so you do not have to send the spreadsheet. --- ## Comparisons **URL**: http://qquantum.ai/compare Direct comparisons of the decisions teams face when building AI systems. ### RAG vs Fine-Tuning **URL**: http://qquantum.ai/compare/rag-vs-fine-tuning When to retrieve, when to fine-tune, and why the answer is usually retrieval first. ### Build vs Buy AI **URL**: http://qquantum.ai/compare/build-vs-buy-ai When an off-the-shelf AI product is the right call and when it structurally cannot be. ### AI Agency vs In-House Team **URL**: http://qquantum.ai/compare/ai-agency-vs-in-house-team The real cost and time comparison between hiring an AI team and engaging one. ### OpenAI vs Anthropic for Enterprise **URL**: http://qquantum.ai/compare/openai-vs-anthropic-enterprise Comparing the two on the axes that decide an enterprise deployment. ### No-Code Automation vs Custom AI **URL**: http://qquantum.ai/compare/no-code-automation-vs-custom-ai Where Zapier, Make and n8n stop being enough, and what replaces them. ### Chatbot vs AI Agent **URL**: http://qquantum.ai/compare/chatbot-vs-ai-agent The difference that matters: an agent takes actions and can be wrong in ways a chatbot cannot. ### On-Premise vs Cloud AI **URL**: http://qquantum.ai/compare/on-premise-vs-cloud-ai Where your models run, compared on cost, control, latency and the effort nobody budgets for. ### Open Weights vs Proprietary Models **URL**: http://qquantum.ai/compare/open-weights-vs-proprietary The capability gap, the cost inversion and the licence terms that decide this more often than benchmarks do. ### DeepSeek vs Frontier Models **URL**: http://qquantum.ai/compare/deepseek-vs-frontier-models What you gain and give up choosing an open-weight model over a hosted frontier API, on the axes that decide it. ### RAG vs Long Context **URL**: http://qquantum.ai/compare/rag-vs-long-context Retrieval against simply putting everything in the context window: cost, latency, accuracy and what decides it. ### Microsoft Copilot vs Custom AI **URL**: http://qquantum.ai/compare/copilot-vs-custom Where a licensed assistant is the right answer, where a purpose-built system is, and the questions that tell them apart. --- ## Reference Architectures **URL**: http://qquantum.ai/reference-architectures Published designs for the AI systems we build most often, including failure modes and what to measure. ### Document Intelligence Architecture **URL**: http://qquantum.ai/reference-architectures/clinical-document-intelligence Extracting structured data from regulated document archives with span-level citation. ### Support Deflection Architecture **URL**: http://qquantum.ai/reference-architectures/saas-support-deflection A support agent design where the handoff gate is the primary component. ### Risk & Compliance Agent Architecture **URL**: http://qquantum.ai/reference-architectures/fintech-risk-agents Agents for regulated decisioning, designed so every decision can be replayed. ### High-Throughput Document Pipeline **URL**: http://qquantum.ai/reference-architectures/logistics-document-pipeline Multimodal extraction at volume, where exception routing and unit cost decide viability. --- ## Resources **URL**: http://qquantum.ai/resources Explainers on AI systems, written for people making build decisions. ### What Are AI Agents? **URL**: http://qquantum.ai/resources/what-are-ai-agents What separates an agent from a chatbot or a workflow, in practical terms. ### LLM Orchestration Explained **URL**: http://qquantum.ai/resources/llm-orchestration-explained How routing, tool use and multi-step reasoning fit together in a production system. ### ROI of AI Automation **URL**: http://qquantum.ai/resources/roi-ai-automation How to build a defensible business case for an AI project, including the costs usually omitted. ### AI Agent Security for Enterprise **URL**: http://qquantum.ai/resources/ai-agent-security-enterprise Threat model for agentic systems: prompt injection, tool abuse and excessive agency. ### How LLMs Actually Work **URL**: http://qquantum.ai/resources/how-llms-work Tokens, attention, training and sampling — enough mechanism to reason about why a model failed. ### Tokens & Context Windows **URL**: http://qquantum.ai/resources/tokens-and-context-windows What a token is, what a context window really costs, and why "it fits" is not the same as "it works". ### Modelling the Cost of an AI System **URL**: http://qquantum.ai/resources/ai-cost-model Building a cost model that survives contact with production, including the lines usually left out. ### How to Choose a Model **URL**: http://qquantum.ai/resources/choosing-a-model A decision procedure for model selection that starts with constraints rather than with benchmarks. ### AI Glossary **URL**: http://qquantum.ai/resources/glossary Plain definitions of the terms that appear in AI vendor conversations. ### Prompt Injection Explained **URL**: http://qquantum.ai/resources/prompt-injection Why prompt injection is not solved, what actually reduces the risk, and how to design an agent that fails safely. ### Is Your Data Ready for AI? **URL**: http://qquantum.ai/resources/data-readiness How to tell whether your data can support the system you want, before you commission it. ### How to Write an AI RFP **URL**: http://qquantum.ai/resources/ai-rfp The questions that separate vendors who have shipped from vendors who have demoed, and what to ask for instead of a fixed price. --- ## Where We Work **URL**: http://qquantum.ai/locations The European cities we work in most, what is different about each, and how a remote-first studio runs a project there. ### London AI Consultancy **URL**: http://qquantum.ai/locations/london AI engineering for London companies — financial services, insurance, legal and media — with UK GDPR and data-residency decisions settled before the build starts. ### Manchester AI Development **URL**: http://qquantum.ai/locations/manchester AI engineering for Manchester and the North West: retail and e-commerce, media, and health technology, built by a senior team you keep working with. ### Birmingham AI Engineers **URL**: http://qquantum.ai/locations/birmingham AI engineering for the Midlands: manufacturing supply chains, logistics and professional services, with the integration work costed honestly up front. ### Edinburgh AI Consultancy **URL**: http://qquantum.ai/locations/edinburgh AI engineering for Edinburgh: asset management, insurance and a research base that makes model expectations unusually well informed. ### Dublin AI Development **URL**: http://qquantum.ai/locations/dublin AI engineering for Dublin: EMEA technology headquarters, pharma and financial services, in the jurisdiction that supervises much of Europe’s data. ### Paris AI Studio **URL**: http://qquantum.ai/locations/paris AI engineering for Paris: banking, insurance, luxury retail and industry, designed for CNIL scrutiny and French sovereignty requirements. ### Lyon AI Engineering **URL**: http://qquantum.ai/locations/lyon AI engineering for Lyon: pharmaceuticals, chemicals and manufacturing, where document-heavy processes are usually where the value is. ### Barcelona AI Studio **URL**: http://qquantum.ai/locations/barcelona Our home city. An AI engineering studio in Barcelona working across Catalonia, Spain and the EU, with EU data residency as a default. ### Madrid AI Agency **URL**: http://qquantum.ai/locations/madrid AI engineering for Madrid: banking, insurance, telecoms, energy and the public sector, with Spanish data-residency options that are now genuinely local. ### Valencia AI Development **URL**: http://qquantum.ai/locations/valencia AI engineering for Valencia: port logistics, agrifood and manufacturing, from a team two hours up the same coast. ### Berlin AI Development **URL**: http://qquantum.ai/locations/berlin AI engineering for Berlin: software companies, mobility and public-sector technology, built to survive a German security review. ### Munich AI Engineering **URL**: http://qquantum.ai/locations/munich AI engineering for Munich: automotive, insurance, reinsurance and industrial groups, where the interesting data is usually locked in older systems. ### Frankfurt AI Engineering **URL**: http://qquantum.ai/locations/frankfurt AI engineering for Frankfurt: banking and asset management under BaFin supervision and DORA, next to Europe’s largest cloud region. ### Hamburg AI Systems **URL**: http://qquantum.ai/locations/hamburg AI engineering for Hamburg: port and freight logistics, publishing, aviation and renewables, with document pipelines that hold at volume. ### Amsterdam AI Consultancy **URL**: http://qquantum.ai/locations/amsterdam AI engineering for Amsterdam: payments, logistics, media and agrifood, with an unusually direct conversation about what will actually work. ### Brussels AI Consultants **URL**: http://qquantum.ai/locations/brussels AI engineering for Brussels: EU institutions, associations, logistics and chemicals — in the city where the AI Act was written. ### Zurich AI Engineering **URL**: http://qquantum.ai/locations/zurich AI engineering for Zurich: banking, insurance and pharma under Swiss law, where the data-protection regime is its own and not the GDPR. ### Vienna AI Consultancy **URL**: http://qquantum.ai/locations/vienna AI engineering for Vienna: banking with CEE reach, energy, industry and life sciences, with the regional data question settled early. ### Milan AI Consultancy **URL**: http://qquantum.ai/locations/milan AI engineering for Milan: finance, fashion, machinery and pharma, with Italian data residency available in the city itself. ### Rome AI Systems **URL**: http://qquantum.ai/locations/rome AI engineering for Rome: public administration, energy, defence and telecoms, where procurement and auditability shape the architecture. ### Lisbon AI Studio **URL**: http://qquantum.ai/locations/lisbon AI engineering for Lisbon: shared service centres, tourism groups and a fast-growing product scene, in the same timezone as London and an hour from Barcelona. ### Stockholm AI Engineering **URL**: http://qquantum.ai/locations/stockholm AI engineering for Stockholm: fintech, gaming, telecoms and industry, beside the lowest-carbon major cloud region in Europe. ### Copenhagen AI Engineering **URL**: http://qquantum.ai/locations/copenhagen AI engineering for Copenhagen: shipping, pharmaceuticals and renewables, where the document and sensor data both matter. ### Warsaw AI Development **URL**: http://qquantum.ai/locations/warsaw AI engineering for Warsaw: banking, business services and logistics, with Polish data residency now available in-country. --- ## Company & Engagement ### Home **URL**: http://qquantum.ai AI systems engineering studio in Barcelona — agents, retrieval architectures and automation built to run in production. ### Our Work **URL**: http://qquantum.ai/work Real, shipped projects — what we built, what we did not, and links to the live sites so you can check. ### AI for Enterprise **URL**: http://qquantum.ai/enterprise AI delivery for organisations with security review, procurement, legacy systems and real change-management constraints. ### AI for Startups **URL**: http://qquantum.ai/startups AI product development for startups — priced and scoped around runway and investor milestones. ### Solutions by Industry **URL**: http://qquantum.ai/solutions How AI systems are applied in regulated and operationally complex industries. ### Technology & Model Stack **URL**: http://qquantum.ai/technology The models, frameworks and infrastructure we build on, and how we choose between them. ### AI Hosting & Infrastructure **URL**: http://qquantum.ai/infrastructure Where your AI actually runs — in your building, in a private rack, in your cloud account or on a public API — and what each choice costs and protects. ### Trust & Security **URL**: http://qquantum.ai/trust How we handle security, data protection and AI governance, and what we can evidence today. ### Comparisons **URL**: http://qquantum.ai/compare Direct comparisons of the decisions teams face when building AI systems. ### Reference Architectures **URL**: http://qquantum.ai/reference-architectures Published designs for the AI systems we build most often, including failure modes and what to measure. ### Resources **URL**: http://qquantum.ai/resources Explainers on AI systems, written for people making build decisions. ### How We Work **URL**: http://qquantum.ai/how-it-works Our delivery method from discovery through production, and what happens at each stage. ### Pricing **URL**: http://qquantum.ai/pricing Engagement models and indicative pricing, from a prototype sprint to ongoing production ownership. ### About **URL**: http://qquantum.ai/about Who we are: an engineering studio in Barcelona building AI systems since long before the current wave. ### Contact **URL**: http://qquantum.ai/contact Book a technical call, or send us the problem you are trying to solve. ### Frequently Asked Questions **URL**: http://qquantum.ai/faq Direct answers on scope, pricing, security, models, timelines and how engagements work. ### Careers **URL**: http://qquantum.ai/careers Working here: what we build, how we work, and what we look for. ### Partners **URL**: http://qquantum.ai/partners Technology and delivery partnerships. ### Blog **URL**: http://qquantum.ai/blog Engineering notes on building AI systems in production. ### Sitemap **URL**: http://qquantum.ai/sitemap Every page on this site, in one list. ### Where We Work **URL**: http://qquantum.ai/locations The European cities we work in most, what is different about each, and how a remote-first studio runs a project there. ### Privacy Policy **URL**: http://qquantum.ai/privacy-policy How we collect, process and retain personal data. ### Terms of Service **URL**: http://qquantum.ai/terms Terms governing use of this website and our services. ### Legal Notice **URL**: http://qquantum.ai/legal-notice Who operates this website: identity, contact details and the information required by Spanish law (LSSI-CE). ### Cookie Policy **URL**: http://qquantum.ai/cookie-policy The cookies this site sets, what each one is for, and why there is no consent banner. ### Accessibility Statement **URL**: http://qquantum.ai/accessibility How this site is built for accessibility, what we test against, and how to report a problem. ### How We Use AI **URL**: http://qquantum.ai/ai-use A plain statement of how AI tools are used in our work, in this website, and what we will always tell a client. --- ## Contact Information - **Website**: http://qquantum.ai - **Email**: hello@qquantum.ai - **Location**: Barcelona, Spain - **Areas served**: Spain, European Union, Worldwide