# Dot Square Lab

> Pragmatic AI consultancy and product company based in London. We design, develop, and deploy AI that runs in production: ready-to-deploy products, custom builds, and strategy. Working with global enterprises and growing businesses across logistics, manufacturing, finance, defence, and beyond.

## Products

- [Our Products](https://dotsquarelab.com/products): Production-grade AI platforms for document intelligence, manufacturing, supply chain, and business automation. Ready to deploy.
- [DSL AI Hub](https://dotsquarelab.com/products/dsl-ai-hub): Document intelligence platform built around a proprietary Vision Language Model pipeline. 98% accuracy on PDFs, slides, contracts, and financial reports. Validated by Bayer, Colgate-Palmolive, and OGCI; winner of the EU EIT AI Challenge.
- [FactoryLens](https://dotsquarelab.com/products/factorylens): Real-time production intelligence for manufacturers. Edge AI for predictive maintenance, automated quality control, and complete scene understanding. Retrofits existing CCTV without infrastructure overhaul.
- [Logistack](https://dotsquarelab.com/products/logistack): Large-scale, event-driven digital twin for end-to-end supply chain simulation. Models container ports, shipping routes, trucking, and warehousing in a single integrated simulation.
- [DSL Automate](https://dotsquarelab.com/products/dsl-automate): Production-grade, code-first business automation. Replaces visual workflow tools (n8n, Make, Zapier) with maintainable software. Predictable pricing, fully managed.

## Services

- [Our Services](https://dotsquarelab.com/services): AI strategy, custom platform development, and technology audits.
- [AI Roadmap & Implementation](https://dotsquarelab.com/services/ai-roadmap-building): We audit your business, prioritise AI opportunities, and route each to the right delivery path: off-the-shelf tools, productised solutions, or custom build. Typical engagement $3,000–$7,000.
- [End-to-End Platform Development](https://dotsquarelab.com/services/e2e-platform-building): Custom AI platform development from architecture to deployment. Full-stack engineering across computer vision, NLP/LLMs, time series, reinforcement learning, and multimodal AI.
- [Technology Audit & Due Diligence](https://dotsquarelab.com/services/technology-audit-strategic-review): Independent expert assessment of AI systems, codebases, and digital infrastructure. For investors, acquirers, and leadership teams. Typical engagement $5,000–$15,000.

## Expertise

- [Our Expertise](https://dotsquarelab.com/expertise): Deep expertise across the full AI stack, applied across automotive, defence, logistics, chemical engineering, sustainability/ESG, finance, manufacturing, robotics, agriculture, and creative industries.
- [Computer Vision](https://dotsquarelab.com/technologies/computer-vision): AI that sees, understands, and interprets visual data for real-world applications.
- [NLP and LLMs](https://dotsquarelab.com/technologies/nlp-and-llms): Extract insights and automate workflows from complex language and text.
- [Time Series Analysis](https://dotsquarelab.com/technologies/time-series-analysis): Forecast, detect trends, and react to changes with dynamic data modelling.
- [Reinforcement Learning](https://dotsquarelab.com/technologies/reinforcement-learning): Optimise strategies and actions through adaptive, goal-driven AI systems.
- [Multimodal Processing](https://dotsquarelab.com/technologies/multimodal-processing): Combine text, images, audio, and more for rich, cross-modal intelligence.
- [Graphs and Relational Reasoning](https://dotsquarelab.com/technologies/graphs-and-relational-reasoning): Understand relationships and structures to power smarter, connected decisions.

## Industries

- [All Industries](https://dotsquarelab.com/industries): Sector-specific AI deployments and case studies.
- [Automotive](https://dotsquarelab.com/industries/automotive): AI for manufacturing quality, supply chain optimisation, autonomous systems, and predictive maintenance.
- [Defence](https://dotsquarelab.com/industries/defense): AI for decision support, logistics, surveillance, threat detection, and simulation under pressure.
- [Logistics](https://dotsquarelab.com/industries/logistics): AI for route planning, inventory monitoring, fleet management, and supply chain resilience.
- [Chemical Engineering](https://dotsquarelab.com/industries/chemical-engineering): AI for lab automation, material analysis, process optimisation, and operational safety.
- [Sustainability & ESG](https://dotsquarelab.com/industries/sustainability-esg): AI for emissions tracking, energy optimisation, and automated compliance reporting.
- [Finance](https://dotsquarelab.com/industries/finance): AI for trading algorithms, fraud detection, compliance, risk assessment, and automated audits.
- [Manufacturing](https://dotsquarelab.com/industries/manufacturing): AI for production line optimisation, predictive maintenance, automated quality control, and real-time analytics.
- [Robotics](https://dotsquarelab.com/industries/robotics): AI for perception, predictive maintenance, multi-agent coordination, and adaptive learning.
- [Agriculture](https://dotsquarelab.com/industries/agriculture): AI for crop analytics, predictive modelling, real-time monitoring, and disease detection.

## Company

- [Our Team](https://dotsquarelab.com/team): Engineers, researchers, and consultants who ship AI for production. Based in London, delivering worldwide.
- [Contact](https://dotsquarelab.com/contact): Tell us your challenge. We'll come back within one working day with concrete ideas.
- [Privacy & Cookie Policy](https://dotsquarelab.com/privacy-and-cookie-policy): Site privacy and cookie policy.

## Insights and Case Studies

- [All Resources](https://dotsquarelab.com/resources): Articles, white papers, and case studies on AI in production.
- [Case Studies](https://dotsquarelab.com/resources?tag=case-studies): Real client engagements and project write-ups.
- [White Papers](https://dotsquarelab.com/resources?tag=white-papers): In-depth technical research and benchmarks.
- [Articles](https://dotsquarelab.com/resources?tag=articles): Industry analysis, technical guides, and commentary.

### Articles

- [Beyond the Buzzwords: A clear taxonomy of Generative AI, LLMs & Agents](https://dotsquarelab.com/resources/taxonomy-genai-llms-agents): A practical taxonomy of Generative AI, LLMs, and AI agents. Definitions, distinctions, and how to talk about them clearly.
- [Build, Buy, or Partner? The 2026 AI Decision Framework](https://dotsquarelab.com/resources/build-buy-or-partner-the-2026-ai-decision-framework): A decision framework for choosing between building AI in-house, buying off-the-shelf, or partnering with a consultancy.
- [Top 10 AI Consultancies 2025: Production-Ready vs. Still Learning](https://dotsquarelab.com/resources/top-10-ai-consultancies-2025): Comparative ranking of leading AI consultancies in 2025, separating production-ready firms from those still maturing.
- [2025: Maturity vs. Agility in AI Consulting Selection](https://dotsquarelab.com/resources/2025-maturity-vs-agility-in-ai-consulting-selection): How to weigh a consultancy's track record against its agility when selecting an AI partner in 2025.
- [Building Multi-Agent Systems with Google ADK: A Practical Developer's Guide](https://dotsquarelab.com/resources/building-multi-agent-systems-with-google-adk-a-practical-developer-s-guide): Practical guide to building scalable, production-ready multi-agent systems with Google's open-source Agent Development Kit (ADK).
- [AI Agent Protocols: ACP and A2A Unite](https://dotsquarelab.com/resources/acp-and-a2a-united): How IBM's ACP and Google's A2A protocols converged under the Linux Foundation to simplify AI agent communication and interoperability.
- [MCP and APIs for AI Agent Integration](https://dotsquarelab.com/resources/how-mcp-and-ap-is-power-ai-agent-integration): How the Model Context Protocol and traditional APIs together power AI agent integration with external systems.
- [Dual Excellence: How a Decade of AI Expertise Positions Dot Square Lab for the GenAI Era](https://dotsquarelab.com/resources/dual-excellence-dot-square-lab-in-the-gen-ai-era): A decade of pre-GenAI ML expertise applied to the new wave of generative AI work.
- [Evolution of AI Agent Communication Protocols](https://dotsquarelab.com/resources/comparing-ai-agent-communication-protocols): How AI agent communication protocols have evolved, from early proprietary standards through ACP, A2A, and MCP.
- [OpenAI gpt-oss: Open-Weight Models for Advanced AI](https://dotsquarelab.com/resources/open-ai-gpt-oss-open-weight-models-for-advanced-ai): OpenAI's open-weight models, what they enable, and how they fit into a production AI stack.
- [2024: When Speed Beat Scale in AI Consulting](https://dotsquarelab.com/resources/2024-when-speed-beat-scale-in-ai-consulting): Why 2024 was the year nimble AI consultancies outpaced enterprise incumbents.
- [Top 10 AI Consultancies 2024: The GenAI Pivot Year](https://dotsquarelab.com/resources/top-10-ai-consultancies-2024): Comparative ranking of AI consultancies in 2024, the year the industry pivoted to GenAI.
- [Enterprise vs. Boutique AI Consultancies: A 2023 Decision Framework](https://dotsquarelab.com/resources/enterprise-vs-boutique-ai-consultancies--2023): How to choose between large enterprise consultancies and specialised boutiques for your AI work.
- [Top 10 AI Consultancies 2023: Enterprise Giants & Emerging Specialists](https://dotsquarelab.com/resources/top-10-ai-consultancies-2023): Comparative ranking of AI consultancies in 2023, contrasting enterprise giants with emerging specialists.

### White Papers

- [AI Document Intelligence: Benchmarking Pipelines](https://dotsquarelab.com/resources/ai-document-intelligence-benchmark): We benchmark OCR, proprietary APIs, and Vision Language Models for document parsing and QA, introducing DSL-QA as a reliable evaluation dataset.

### Case Studies

- [AI-Powered Transcription for Education](https://dotsquarelab.com/resources/ai-powered-multi-speaker-transcription-and-analysis-for-educational-innovation): Multi-speaker transcription and analysis of school lecture audio for Inform(Ed), an education-focused startup.
- [Drone Localization via Image Matching](https://dotsquarelab.com/resources/drone-localization-based-on-camera-and-satellite-image-matching): GPS-independent drone localisation by matching live camera images with satellite imagery, for urban canyons and contested airspace.
- [Predicting utility prices across energy markets](https://dotsquarelab.com/resources/predicting-utility-prices-across-energy-markets): Temporal Fusion Transformer applied to forecasting electricity prices across European energy markets.
- [Detecting car damages from images](https://dotsquarelab.com/resources/detecting-car-damages-from-images): Automated assessment of vehicle damage from photos for insurance claim evaluation.
- [Automating CV Formatting with LLMs](https://dotsquarelab.com/resources/automating-cv-formatting-and-anonymization-with-large-language-models): LLM-driven automation of CV reformatting and anonymisation across varied client requirements.
- [Streamlining Document Queries with AI](https://dotsquarelab.com/resources/streamlining-internal-document-queries-with-chat-gpt-and-pinecone): ChatGPT and Pinecone applied to internal document search, cutting time spent finding answers across knowledge bases.
- [Scalable deployment of fine-tuning text-to-image AI models](https://dotsquarelab.com/resources/scalable-deployment-of-fine-tuning-text-to-image-ai-models): Fine-tuning text-to-image models at scale for marketing, design, construction, and other sectors.
- [Cooperative Drone Swarms with AI Vision](https://dotsquarelab.com/resources/cooperative-drone-swarms): Multi-drone coordination via machine vision for area surveillance in disaster response, border patrol, and conservation.
- [Coordinating Fleets with Reinforcement Learning](https://dotsquarelab.com/resources/coordinating-multi-vehicle-fleets-of-agents-with-reinforcement-learning): Reinforcement learning for autonomous coordination of mixed manned and unmanned vehicle fleets in complex environments.
- [Predicting Forex with Multiple Data Sources](https://dotsquarelab.com/resources/predicting-foreign-exchange-values-using-multiple-data-sources): Forecasting foreign exchange price movements by combining multiple data sources, supporting traders in fast-moving markets.
- [Using AI to generate and optimise chemical plant design](https://dotsquarelab.com/resources/using-ai-to-generate-and-optimise-chemical-plant-design): AI for chemical engineering process design, optimising separation of multicomponent mixtures (natural gas, biofuel, crude oil) under physical constraints.
- [AI Disease Detection in Agriculture](https://dotsquarelab.com/resources/enhancing-agricultural-efficiency-with-ai-powered-disease-detection): Automated detection of crop diseases from imagery, accelerating decision-making for farmers and agronomists.
- [AI-based vehicle cut-outs for online marketplaces](https://dotsquarelab.com/resources/ai-based-vehicle-cut-outs-for-online-marketplaces): Automated background removal and replacement for vehicle photography on online marketplaces, replacing slow manual cut-out work.
- [AI Quality Assurance in Automotive Industry](https://dotsquarelab.com/resources/automating-quality-assurance-in-the-automotive-industry-with-ai): Computer vision quality assurance for high-end automotive components (e.g. car lights), automating visual inspection previously done by human operators.