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Prism Labs

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London’s AI & Web Experts

Prism Labs (trading as PDFMiner Ltd) is a specialized software consultancy based in London, UK. Unlike generalist IT agencies, we focus strictly on modern, high-performance tech stacks to build scalable digital products for forward-thinking businesses.

  • Min project size
    $1,000+
  • Hourly rate
    $50 - $99 / hr
  • Employees
    2 - 9
  • Year founded
    Founded 2023

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    Our Story

    Founded in London in 2023, Prism Labs is a premium boutique software agency. Our mission is to transform business ideas into intelligent, high-performance software. Backed by 12+ years of technical experience, we specialise in custom web apps and AI solutions for ambitious businesses. We take an AI-first approach, focusing on quality over quantity to deliver pragmatic, production-ready systems. We engineer intelligent systems that actually work—transparently, on time, and on budget.

    What Sets Us Apart

    Pragmatic, AI-First Approach

    We go beyond the hype to build practical, production-ready AI solutions. As a premium boutique agency, we focus on quality over quantity to engineer custom LLMs and intelligent automations that deliver real value and actually work.

    Deep Technical Excellence

    Backed by 12+ years of experience, our London-based team specialises in highly scalable infrastructure. From complex RAG pipelines to high-performance web apps, we transform ambitious business ideas into intelligent, custom software.

    Transparent & Reliable Delivery

    We believe in transparent communication, clear timelines, and regular updates. With a 100% on-time delivery rate across 50+ projects, we consistently deploy reliable software—delivered on time and on budget, with zero surprises.

    Commonly Asked Questions

    Right now, we are specifically interested in partnering with ambitious businesses to build pragmatic, AI-first software and custom web applications. Because we operate as a premium boutique agency, we focus on quality over quantity and are looking for projects that require deep technical excellence and production-ready implementations. Here are the specific types of projects we are looking to take on: Custom LLM Solutions: We are highly interested in fine-tuning and deploying language models for domain-specific applications, including document Q&A systems and specialised AI assistants. Enterprise LLM Integration: Projects that require secure, production-grade integration of models like OpenAI's GPT-5 and Anthropic's Claude Opus 4.5 into existing enterprise systems, complete with proper rate limiting and cost optimisation. Data Infrastructure for AI: We are keen to build the foundational infrastructure for AI, such as RAG (Retrieval-Augmented Generation) pipelines and vector database implementations (using Pinecone, Weaviate, or pgvector) to securely connect proprietary data to LLMs. Intelligent Workflow Automation: We are looking for opportunities to build AI-powered document processing, data extraction, and decision workflow automations that can reduce manual work by 80% or more. In terms of sectors, we are specifically targeting industries where these solutions have the highest impact, such as FinTech, HealthTech, E-commerce, SaaS, Education, Professional Services, and Real Estate.

    For our success rate, we hold a 100% on-time delivery rate across the 50+ projects we have successfully delivered since 2023. While exact ROI depends on the specific project and industry, our AI and automation solutions typically yield massive efficiency gains. Here is what our typical ROI and impact look like based on our recent case studies: Workflow Automation: Our intelligent data extraction and decision workflows consistently achieve an 80%+ reduction in manual work (such as our Smart Inbox Automation project, which reduced manual email processing by 80%). LegalTech: We implemented an AI-powered document analysis platform that resulted in 90% faster contract reviews. FinTech: We deployed a machine learning transaction monitoring system that achieved 95% accuracy in fraud detection. HealthTech: We built a secure patient portal that drove a 40% increase in patient engagement.

    While our exact concurrent client capacity isn't explicitly defined in our current Knowledge Base, our business model heavily dictates how we operate. Because we position ourselves as a premium boutique agency, we strictly focus on quality over quantity. With a close-knit team size of 2-10 employees, we deliberately limit the number of clients we work with at any one time. This selective approach allows us to dedicate the necessary technical rigour to each custom LLM or infrastructure build, ensuring we maintain our 100% on-time delivery rate across the typical 4-12 week project duration.

    Our typical project duration is 4 to 12 weeks. Because we operate with a premium, AI-first approach and a focus on quality, our timelines can vary depending on the complexity of the custom LLM solution or data infrastructure being built. Additionally, when it comes to communication and inquiries, we pride ourselves on transparency and maintain a strict response time of within 24 hours.

    We follow a highly collaborative, transparent approach, acting as a dedicated technical partner rather than just an external vendor. Because we operate as a premium boutique agency, we limit our concurrent projects to ensure we can provide deep technical excellence and regular, clear communication to every client. Our collaboration is structured around a proven four-step agile methodology: Discovery: We begin with a deep dive into your business needs, users, and core goals to ensure the custom AI or software solution we build will deliver measurable ROI. Design: We map out the technical architecture and create intuitive user experiences backed by data. Build: We develop scalable, production-ready solutions using an agile methodology. During this phase, we keep you fully in the loop with regular updates, clear timelines, and a "no-surprises" approach. Launch: We handle the seamless deployment of the system, complete with comprehensive monitoring and post-launch support to ensure everything works perfectly in a live environment. Throughout the entire engagement, we pride ourselves on transparent communication and maintain a strict response time of within 24 hours for all inquiries.

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