# SupaMakers

> SupaMakers is a founder-led AI development company in London. It designs, builds and runs custom AI software for finance teams, law firms, construction firms and other teams whose work runs on documents.

Each engagement starts with one workflow and is built on the client's own documents and data. Every result links to its source so the people doing the work can check it before they rely on it. Clients work directly with the two founders, Shilpa Pawar and Vishal Malik.

## Facts

- Legal name: SupaMakers Limited (UK company number 14757784)
- Based in: London, United Kingdom (124 City Road, London, EC1V 2NX, GB)
- Works with: teams in the UK, Europe and the US, remotely
- Founders: Shilpa Pawar, Founder (https://www.supamakers.com/about#shilpa-pawar); Vishal Malik, Founder and system architect (https://www.supamakers.com/about#vishal-malik)
- Contact: shilpa@supamakers.com, or https://www.supamakers.com/contact
- First version: a 28-day sprint that ends with a working product on the client's real data; the client keeps the source code
- Cost: scoped after one conversation; the proposal states what will work, what stays manual and what production would still need
- Data: agreed per system; on-device processing where possible, UK or EU data residency where not; client data is not used to train third-party models
- Profiles: https://www.linkedin.com/company/supamakers, https://find-and-update.company-information.service.gov.uk/company/14757784

## Key pages

- [Home](https://www.supamakers.com/): Custom AI development for professional firms.
- [About](https://www.supamakers.com/about): Who SupaMakers is and who you work with.
- [Services](https://www.supamakers.com/services): Strategy, agent development, data infrastructure and 28-day MVP sprints.
- [Work](https://www.supamakers.com/work): Build notes for products SupaMakers has built and runs, with evidence and constraints.
- [Contact](https://www.supamakers.com/contact): Reach the founders directly; replies usually within a day.
- [Editorial policy](https://www.supamakers.com/editorial-policy): How the site's guides and courses are written, sourced and reviewed.

## Services

- [AI Agent Development Services](https://www.supamakers.com/services/ai-agent-development): Agents that read files, extract facts, draft outputs, work with your systems and pass uncertain cases to a person.
- [AI Strategy & Roadmapping](https://www.supamakers.com/services/ai-strategy-and-roadmapping): Find out where AI is worth using in your work, what is technically realistic, and what to test first.
- [RAG Development & AI Data Infrastructure](https://www.supamakers.com/services/data-infrastructure-for-ai): Pipelines, retrieval, evaluation and monitoring that keep AI accurate on your documents after launch.
- [Rapid AI MVP](https://www.supamakers.com/services/rapid-ai-mvp): A 28-day sprint that proves one AI workflow on your own files before you commit to a larger build.

## Sectors

- [AI for law firms](https://www.supamakers.com/ai-for-law-firms): Advice on where AI is worth using in a UK law firm, and tools built on the firm's own documents and official court data so a lawyer can check every answer.
- [AI for Solicitors](https://www.supamakers.com/ai-for-law-firms/solicitors): AI for solicitors in the UK: drafting from your own precedents, case law monitoring and private contract review, with confidentiality and SRA duties in mind.
- [AI for Barristers' Chambers](https://www.supamakers.com/ai-for-law-firms/barristers-chambers): AI for barristers' chambers: case law monitoring, authority mapping across 411,000+ citation connections, case preparation support and clerking workflows.
- [Legal workflow automation](https://www.supamakers.com/ai-for-law-firms/legal-workflow-automation): Selecting, testing and running legal workflow automation with human review.
- [AI in construction](https://www.supamakers.com/ai-in-construction): Where AI helps in construction today, its limits, and a working drawing-to-BOQ example.
- [Construction estimating software UK](https://www.supamakers.com/construction/estimating-software-uk): A vendor-neutral buyer guide to estimating, takeoff and BOQ software.

## Built and run by SupaMakers

- [AnimCharts](https://www.supamakers.com/work/animcharts): Free animated numbers and data clips with editable source tables, annotations and downloadable MP4s and GIFs.
- [CasePulse](https://www.supamakers.com/work/casepulse): A searchable UK judgment index with citation connections, source provenance, and daily updates from The National Archives.
- [ContractScanner](https://www.supamakers.com/work/contract-scanner): A private, in-browser AI contract review tool that flags risk without uploading contract text to a server.
- [AutoBOQ](https://www.supamakers.com/work/auto-boq): A working drawing-to-quantity prototype for testing reviewable AI-assisted takeoff and bill-of-quantities workflows on PDF plans.
- [Law AajKal](https://www.supamakers.com/work/law-aajkal): A consumer legal-research product spanning web and mobile delivery, source-aware discovery, and practical access to published Indian judgments.

## Free tools

- [CasePulse](https://www.supamakers.com/tools/casepulse): Search published UK judgments, with citation connections and daily updates from The National Archives.
- [ContractScanner](https://www.supamakers.com/tools/contract-scanner): AI contract review that runs in the browser; the contract never leaves the device.
- [AutoBOQ](https://www.supamakers.com/tools/auto-boq): Drawing PDFs in, a bill of quantities an estimator can review out. Limited-access prototype.
- [ShieldIQ](https://www.supamakers.com/tools/shieldiq): A compliance risk brief for a US company from public OSHA, EPA, CFPB, OFAC and federal contract records.

## Free courses and assessments

- [AI Adoption for Financial Services](https://www.supamakers.com/learn/ai-adoption): From AI literacy to governed financial workflows
- [AI Readiness Audit](https://www.supamakers.com/learn/ai-readiness-audit): Evaluate your firm's AI readiness in 2 hours
- [AI Native Operating System](https://www.supamakers.com/learn/ai-native-operating-system): Turn AI readiness into governed workflow advantage
- [AI for Real Estate Professionals](https://www.supamakers.com/learn/ai-for-real-estate): From lease abstraction to deal analysis
- [AI for ESG & Sustainability](https://www.supamakers.com/learn/ai-for-esg): From supplier data to regulatory disclosure
- [AI for Insurance Professionals](https://www.supamakers.com/learn/ai-for-insurance): From submission triage to claims analysis
- [AI for Legal Professionals](https://www.supamakers.com/learn/ai-for-legal): From contract review to legal research
- [AI for Healthcare & Pharma](https://www.supamakers.com/learn/ai-for-healthcare): From clinical documentation to drug development
- [AI for Government Contractors](https://www.supamakers.com/learn/ai-for-govcon): From pipeline tracking to proposal submission
- [AI for Construction & BOQ](https://www.supamakers.com/learn/ai-for-construction): From drawings to quantities with AI
- [Enterprise RAG on Your Own Infrastructure](https://www.supamakers.com/learn/enterprise-rag): Build production RAG without cloud dependencies
- [Edge AI & Private Inference for Enterprise](https://www.supamakers.com/learn/edge-ai-enterprise): Deploy AI where the data lives
- [AI Data Privacy & PII Management](https://www.supamakers.com/learn/ai-data-privacy): Adopt AI without exposing sensitive data
- [Mastering Claude Code](https://www.supamakers.com/learn/mastering-claude-code): From chatbot to configurable engineering system
- [AI readiness assessment](https://www.supamakers.com/learn/ai-readiness-assessment): Score how ready a team is to put AI into a real workflow.
- [AI readiness checklist](https://www.supamakers.com/learn/ai-readiness-checklist): The checks to run before an AI project starts.
- [AI readiness framework](https://www.supamakers.com/learn/ai-readiness-framework): The dimensions a readiness review covers and how to weigh them.

## Glossary

- [AI-Native](https://www.supamakers.com/glossary/ai-native): AI-native describes a product, application, or organisation designed around artificial intelligence from the ground up — where AI is the foundation of how the thing works, not a feature added to an existing design. Remove the AI from an AI-native system and it stops making sense.
- [MCP (Model Context Protocol)](https://www.supamakers.com/glossary/mcp-for-business): The Model Context Protocol (MCP) is an open standard that lets AI assistants securely connect to a business's tools, databases, and documents. Instead of building a custom integration for every AI application, a company exposes its systems once — via an MCP server — and any MCP-compatible AI client can use them.
- [AI Readiness Assessment](https://www.supamakers.com/glossary/ai-readiness-assessment): An AI readiness assessment is a structured evaluation of whether an organisation is prepared to adopt AI successfully. It scores readiness across five dimensions — strategy, data, workflows, people, and governance — and produces a prioritised roadmap of what to fix before and during AI adoption.

## Blog

- [AI Strategy](https://www.supamakers.com/blog/category/ai-strategy): Decision frameworks for choosing AI work that is worth building, measurable, and practical for the team that has to operate it.
- [AI Engineering](https://www.supamakers.com/blog/category/ai-engineering): Engineering notes on agents, MCP, RAG and LLMOps, and on building software with AI coding tools such as Claude Code and Codex.
- [AI Development](https://www.supamakers.com/blog/category/ai-development): Hands-on notes for turning AI ideas into working product surfaces, MVPs, integrations, and user workflows.

- [LLMOps for Document AI: Evaluation and Monitoring Guide](https://www.supamakers.com/blog/llmops-document-ai): Learn LLMOps for document AI with a worked invoice example, Python evaluation script, and scorecard for field accuracy, evidence, review, and monitoring.
- [AI Product Development: Workflow to Production](https://www.supamakers.com/blog/ai-product-development-guide): A practical AI product development guide: choose a valuable workflow, prove it with real material, design controls, measure results, and deploy responsibly.
- [MCP for AI Agents: Turning Chatbots Into Operators](https://www.supamakers.com/blog/mcp-ai-agents-data-layer): A practical guide to MCP for AI agents, Firecrawl-style web context, database connectors, governed workflows, security risks, and production agent architecture.
- [Self-Improving AI Assistants: Memory Beyond Chat History](https://www.supamakers.com/blog/self-improving-ai-personal-assistant-memory): A practical framework for AI assistant memory, personal knowledge bases, LLM wikis, source-backed context, and self-improving personal AI assistants.
- [Agentic Loops in AI Agents: When to Loop, When to Stop](https://www.supamakers.com/blog/agentic-loops-ai-agents): A practical guide to agentic loops, evaluator-optimizer workflows, human-in-the-loop approvals, guardrails, and when AI agents should not run autonomously.
- [Declarative UI and Personalized UI: The Future of Web Design](https://www.supamakers.com/blog/declarative-ui-personalized-web-design): Why web design is moving from static pages to declarative, personalized, agent-composed interfaces with catalogs, schemas, data, and safety boundaries.
- [AI Native Readiness Assessment 2026: Move Beyond AI Tools](https://www.supamakers.com/blog/ai-native-readiness-assessment-2026): Use this 2026 AI native readiness framework to assess operating ownership, workforce fluency, workflow redesign, AI-readable context, agent operability, and governance.
- [How to Use Codex and Claude Code to Create 3D Shape Websites](https://www.supamakers.com/blog/advanced-3d-shape-websites-with-ai): A practical tutorial for using AI coding agents, image generation, visual QA, React, Vite, and static deployment prompts to create advanced 3D shape websites.
- [Why the Next SaaS Product Might Not Need a UI](https://www.supamakers.com/blog/why-next-saas-product-might-not-need-ui): A founder-focused strategy post on agent-first SaaS: why future products may need less UI and more context, APIs, MCP, permissions, auditability, and distribution.
- [Claude Code Is Bigger Than Coding: Top 5 Workflow Features](https://www.supamakers.com/blog/claude-code-top-5-workflow-features): A practical ranking of the five Claude Code workflow features I use most: skills, status line, routines, remote control, and subagents.
- [Codex Sites: Build Shared Internal Apps From a Prompt](https://www.supamakers.com/blog/codex-sites-shared-internal-apps): A practical guide to Codex Sites: what it is, how to prompt it, when to use D1 or R2 storage, and how to review Sites before sharing them with a workspace.
- [How to Build Beautiful Frontends With AI Coding Agents](https://www.supamakers.com/blog/beautiful-ai-frontends-coding-agents): A practical framework for using AI coding agents to build beautiful frontends with taste systems, design constraints, component states, and visual QA.
- [AI Agent Workflows That Survive Production](https://www.supamakers.com/blog/agent-workflows-that-survive-production): A practical framework for production AI agent workflows covering state, actions, verification, escalation, recovery, and auditability.
- [AI Dashboard Software Is Being Eaten by Agents](https://www.supamakers.com/blog/ai-dashboards-native-agent-capability): Why standalone AI dashboard tools are being compressed by agents, and where durable analytics software still creates value: metrics, governance, provenance, and decisions.
- [RAG Is Infrastructure Now: Retrieval Beyond the Chatbot](https://www.supamakers.com/blog/rag-retrieval-infrastructure): RAG is not data visualization. It is retrieval infrastructure for grounding agents, search, support, and internal AI workflows with external context.
- [Enterprise AI Strategy Roadmap: A Practical Playbook](https://www.supamakers.com/blog/enterprise-ai-playbook-2025): A practical enterprise AI roadmap covering readiness, data governance, shadow AI risk, KPIs, pilot selection, and production rollout.
- [Production-Ready AI Agents: Architecture Patterns](https://www.supamakers.com/blog/building-production-ready-ai-agents): Learn practical architecture patterns for production AI agents, including orchestration, tool boundaries, error recovery, evaluation, and deployment tradeoffs.
- [AI Prototyping: From Idea to a Testable AI MVP](https://www.supamakers.com/blog/ai-mvp-in-two-weeks): A practical AI MVP framework for narrowing scope, validating product risk, choosing model and data boundaries, and shipping a useful prototype quickly.

## For agents

- Full text of the core pages: https://www.supamakers.com/llms-full.txt
- Any page as Markdown: request it with `Accept: text/markdown`, or use https://www.supamakers.com/agent-markdown?path=/about
- Site search: https://www.supamakers.com/agent-search?q=contract%20review
- Read-only MCP server: https://www.supamakers.com/mcp
- Sitemap: https://www.supamakers.com/sitemap.xml