# SigTech > SigTech provides Multi-Agent Generative Investment Copilots (MAGIC) for financial institutions. Our platform enables asset managers and banks to build and deploy custom AI agents to automate workflows while maintaining strict regulatory compliance. ## SPECIFICITY Is All You Need ### Custom AI for Financial Institutions **MAGIC** (Multi-Agent Generative Investment Copilots) transforms how asset managers and banks operate. Tasks that take your £100k+ analysts 1 day may now complete in 15 minutes - delivering **10-100x time efficiency gains** while maintaining full regulatory compliance. Every AI agent is **tailor-made: 1 of 1**, built from your real case studies through inductive learning. Our **human-in-the-loop** design ensures regulatory compliance while freeing your best talent for high-value strategy and client-facing work. ### Why Generic AI Tools Fall Short Your team already tried Microsoft Copilot, ChatGPT Enterprise, and other chat-based AI tools. These AI tools are disappointing because: - Generic solutions can't understand capital markets complexity - Chat interfaces are unsuitable for financial decision-making - One-size-fits-all approaches diminish the quality - Poor document processing quality (30-40% accuracy) for complex financial documents like PDFs, Excel spreadsheets, Word documents, PowerPoint presentations, and emails with attachments ### Our Solution - **Superior Document Processing**: 95%+ accuracy using state-of-the-art multi-modal LLMs - **Capital Markets Expertise**: By former Brevan Howard portfolio managers and quants who understand your business - **Human-in-the-Loop Design**: AI agents collaborate with and amplify human experts - never replace them - **Regulatory Compliance**: ISO 27001 certified, GDPR compliant, designed for financial services regulation - **1 of 1 Custom Build**: Every agent learns from your real case studies and institutional knowledge ### Use Cases We are solving a rapidly expanding list of use cases across asset managers and banks: | | | | ------------------------------- | -----------------------------| | Deal Sourcing and Qualification | Commercial Loan Underwriting | | Market Research Synthesis | Investor Relations Reporting | | Due Diligence Questionnaires | Due Diligence Analysis | | Compliance Checking | Risk Management Monitoring | | KYC & KYB | Recruitment CV screening | ### Our Process - **IDENTIFY** (Week 1-2): We work with your team to find the **best use case** for AI transformation - **LEARN** (Week 3-6): You provide **three case studies**. We build your custom AI agent and refine it with your feedback - **DEPLOY** (Week 7-8): Your custom AI agent deployed via **Microsoft Azure & Teams** with user training ### Free Your Best Talent Transform your analysts from repetitive task processors into AI-augmented experts who: - Focus on high-value strategy and client relationships - Achieve 10-100x more productivity with AI amplification - Advance their careers through creative, strategic work ## Leadership Team ### ![Bin Ren Headshot](/images/bin-ren.jpg) ### Bin Ren – Founder & CEO Before founding SigTech at the start of 2019, Ren was the Chief Investment Officer of the Systematic Investment Group (SIG) at Brevan Howard Asset Management where he managed multiple quantitative investment funds. He started his career at Barclays Capital as an equity exotics trader managing quantitative investment strategies across all major asset classes. Before university, Ren skipped two grades in school and won three first prizes in the Chinese National Olympiads. After earning a Bachelor's degree in electrical engineering at the national gifted education program of Shanghai Jiaotong University, Ren was directly admitted with full scholarship to the PhD program for computer science at Cambridge University, UK. While there he researched the Xen virtual machine monitor that was chosen by Amazon as the foundation of the AWS cloud-computing platform. [Blog](https://bren.blog/) [LinkedIn](https://www.linkedin.com/in/bin-ren-9457362/) [X](https://x.com/0xbren) ### ![Krishna Nadella Headshot](/images/krishna-nadella.jpg) ### Krishna Nadella - Chief Commercial Officer Krishna, the Chief Commercial Officer at SigTech, boasts over 20 years in capital markets with a specialization in FinTech and FinServ. Known for creating specialized teams, he excels at launching new commercial strategies and products. Previously at Symphony Communication Services, Krishna led the firm's transformation from an insular entity to a market infrastructure integrator. Before Symphony, he was integral to Bloomberg's Enterprise Data division expansion, launching five new products over a decade. He began his career at Citigroup, where he managed the CDO/CLO equity sales desk. Beyond finance, Krishna hosted "STATE OF MIND," a web-series discussing post-secondary education issues. Recognized among The Feminist Press' "Top 40 Under 40," he also received the Penn State Alumni Service Award and the McMaster Arch Award. Krishna serves on various boards across academic and financial institutions and regularly contributes to LinkedIn. He holds an undergraduate degree in Honors Biochemistry from McMaster University and an MBA from The Pennsylvania State University. ### ![Stuart Broadfoot Headshot](/images/stuart-broadfoot.jpg) ### Stuart Broadfoot - VP of Research Stuart is VP, Research AI & Analytics at SigTech. Prior to joining, Stuart spent more than five years at Brevan Howard Asset Management as a Quantitative Analyst and Portfolio Strategist. During this time, Stuart worked on developing quantitative analytics and researching systematic trading strategies. Stuart has a master's degree in Mathematics from the University of Cambridge and a Doctor of Philosophy (Ph.D.) from Oxford University, in the field of Quantum Information Theory. ### ![William Garside Headshot](/images/william-garside.jpg) ### William Garside - Director of Engineering Will Garside is Director of Engineering at SigTech, where he leads the build and rollout of MAGIC — an AI-powered assistant that delivers data-grounded financial insight through a team of specialist agents. After co-creating the original proof-of-concept, Will led its productionisation and now sets SigTech's engineering standards and roadmap. Before joining SigTech, Will served as Lead DevOps Engineer at Chetwood Bank, where he designed and implemented a fully serverless credit-decision engine on AWS (Lambda, Python, DynamoDB). The new platform reduced rule-change lead times from weeks to hours and replaced a legacy vendor solution, underpinning the bank's growth to £4 billion in savings deposits and previous success in the lending industry. Will earned a First-Class BSc in Computer Science from the University of Sheffield. Away from work he applies the same hands-on mindset to smart-home projects and hobby electronics. ### ![Dimuthu Muththettuwage Headshot](/images/dimuthu-muththettuwage.jpg) ### Dimuthu Muththettuwage - Director of Infrastructure Dimuthu "Dim" Muththettuwage is the Director of Infrastructure at SigTech, where he leads the DevOps and Security divisions. With a strong background in cloud engineering and high-performance computing, Dim has played a pivotal role in modernizing infrastructure and enhancing security protocols. Before joining SigTech, Dim was instrumental in a significant on-premises to Azure Cloud migration at the London Stock Exchange Group. He also contributed to the development of a novel scientific computing high-performance computing (HPC) platform within R&D IT at AstraZeneca. His expertise encompasses tools and technologies such as Terraform, Nomad, Consul, Vault, Ansible, Prometheus, and Grafana Dim holds an MSci in Physics from University College London (UCL). His academic background, combined with his professional experience, underscores his commitment to leveraging cutting-edge technologies to drive innovation in infrastructure and security. ### ![Emma Pocklington Headshot](/images/emma-pocklington.jpg) ### Emma Pocklington - VP of Finance Emma Pocklington is SigTech's VP, Finance. Previously, Emma was the Global Financial Manager for JRNI, a global appointment booking platform, helping the company scale across three continents and managed multiple rounds of fundraising through to Series C. Emma has extensive experience facilitating financial operations for multiple successful scale-up businesses throughout her career. ### ![David Comerford-Green Headshot](/images/david-comerford-green.jpg) ### David Comerford-Green - General Counsel David Comerford-Green is the General Counsel of SigTech and is responsible for the group's global legal and compliance function. Before joining SigTech in January 2022, David was the Director of Legal at Dext, a B2B SaaS platform offering bookkeeping and accountancy software solutions to accountancy firms and SMBs. During his time at Dext, David advised the business on its Series C fundraising, multiple M&A transactions and latterly its acquisition by Hg Capital. David qualified as a corporate lawyer at Mayer Brown and his legal career spans a broad range of financial institutions and other industries both in the UK and the Middle East. David holds a BA in History and Economics from the University of Manchester and subsequently attended the College of Law in London. ## Frequently Asked Questions ### Business Value & ROI #### What ROI can we expect from MAGIC? Clients see up to 10-100× faster workflows, backed by case-study data you can verify. Tasks that used to take your £100k+ analysts 1 day could now be done in 15 minutes. With one-off development costs and £10-20k initial credit purchase, you see immediate ROI against typical analyst salaries. **Success metrics** our clients track: - **Speed**: Internal efficiency + faster client response times - **Quality**: Improved accuracy and consistency - **Risk Management**: Better compliance and risk monitoring #### How does MAGIC solve operational efficiency challenges? We focus on **high-value, non-creative, repetitive knowledge work** that currently consumes your analysts' time. By automating these tasks, your team can focus on strategic analysis, client relationships, and creative problem-solving that drives business value. #### What about regulatory compliance concerns? Our **human-in-the-loop design** ensures full regulatory compliance. AI agents collaborate with and amplify human experts rather than replacing them - meeting regulatory requirements while accelerating performance. We are **ISO 27001 certified** and **GDPR compliant**. ### Implementation & Pricing #### How does MAGIC pricing work? - **Development**: Custom agent development cost - **Operations**: £10-20k initial credit purchase upfront, then pay-per-agent-run based on complexity - **Timeline**: 1-2 months from first contact to deployment #### What's the implementation process? - **IDENTIFY** (Week 1-2): Work with your team to identify the best use case for AI transformation - **LEARN** (Week 3-6): You provide 3 case studies, we build and refine your custom agent - **DEPLOY** (Week 7-8): Agent deployed in Microsoft Azure & Teams with user training #### What is MAGIC? MAGIC stands for Multi-Agent Generative Investment Copilots. It's our platform for building and deploying **custom AI agents** that automate repetitive knowledge work in capital markets. Each agent is purpose-built from your playbooks and data – no off-the-shelf shortcuts. ### Analyst Concerns & Team Adoption #### Will this replace our analysts? No - it amplifies them. MAGIC frees your best analysts from repetitive tasks to focus on: - **High-value strategy work** instead of repetitive processing - **Client-facing activities** that advance their careers - **Creative problem-solving** that drives business value Transform your analysts into **AI-augmented experts** who achieve 10-100x more productivity. #### How do we get team buy-in from senior analysts? Position MAGIC as **career advancement**, not replacement: - "Focus on strategy and client relationships instead of repetitive tasks" - "Become the AI-augmented expert who delivers exceptional results" - "Free up time for the work that advances your career" Our human-in-the-loop design ensures analysts remain central to decision-making while being amplified by AI. #### What can I use MAGIC for? MAGIC automates repetitive knowledge work across asset managers and hedge funds: | | | | ------------------------------- | -----------------------------| | Deal Sourcing and Qualification | Commercial Loan Underwriting | | Market Research Synthesis | Investor Relations Reporting | | Due Diligence Questionnaires | Due Diligence Analysis | | Compliance Checking | Risk Management Monitoring | | KYC & KYB | Recruitment CV screening | ### Competitive Advantage #### How does MAGIC differ from ChatGPT Enterprise or Microsoft Copilot? Generic AI tools failed you because: - Generic solutions can't understand capital markets complexity - Chat interfaces are unsuitable for financial decision-making - One-size-fits-all approaches diminish the quality - Poor document processing quality (30-40% accuracy) for complex financial formats MAGIC delivers: - **Superior Document Processing**: 95%+ accuracy using state-of-the-art multi-modal LLMs - **Capital Markets Expertise**: Built by former Brevan Howard portfolio managers and quants - **Custom 1-of-1 Approach**: Every agent built specifically for your institution - **Inductive Learning**: Learns from your real case studies and institutional knowledge - **Human-in-the-Loop Design**: Regulatory-compliant collaboration - **Job-Centric UI**: Task-oriented interface vs. generic chat ### Document Processing & Data Quality #### How does MAGIC handle complex financial documents? MAGIC uses state-of-the-art multi-modal large language models to fully understand complex financial documents while preserving the highest possible quality. This includes: - **PDFs** with complex layouts and embedded graphics - **Excel spreadsheets** with intricate formulas and formatting - **Word documents** with tables, charts, and mixed content - **PowerPoint presentations** with visual elements - **Emails** with complex formatting and attachments #### What makes MAGIC's document processing better than competitors? **Quality difference that matters:** - **MAGIC**: 95%+ correctness in processing quality (based on internal benchmarks across client documents) - **Typical OCR and text extraction methods** (common in generic tools): Often yield only 30-40% data accuracy for complex financial documents While basic text extraction methods lose critical context, formatting, and relationships, our multi-modal approach preserves these nuances for dramatically better AI performance. #### Why does document processing quality matter for AI results? The quality of input has a critical impact on everything that happens afterwards - whether it's large language model inference or output processing. When basic text extraction methods fail to capture the full context and formatting of financial documents, all downstream AI capabilities are undermined. **Risk mitigation perspective**: A single misplaced decimal or a footnote detached from its table can introduce subtle but critical errors, leading to flawed models and increased compliance risk. This is an easily under-appreciated part of the process, but it's actually the foundation that determines whether AI agents can deliver reliable, accurate results for financial workflows. **Concrete example**: Extracting data from a multi-page table in a PDF prospectus. Traditional tools might break the table into disconnected text blocks, losing the relationships between rows and columns. Our multi-modal engine understands the visual layout, preserving the table's integrity, including footnotes and merged cells. ### Security & Data Privacy #### Will my data be visible to other clients? **Absolutely not.** Your data, case studies, and custom agent remain completely separate and private to your organization. We never share data between clients or use one client's data to improve another's agent. #### Are my prompts and data used to train language models? Your case studies are used specifically to train your custom AI agent through our inductive learning process. However, your data is **never used** to train general language models by us or any 3rd-party LLM provider. #### How is MAGIC deployed and secured? Your custom AI agent is deployed via our MAGIC application in **Microsoft Azure & Teams**, leveraging enterprise-grade security and compliance standards. This ensures your data remains secure within your organization's existing security framework. #### What LLMs do you use? We evaluate multiple LLMs to choose the best one for your specific task. We use LLM API services from **OpenAI, Anthropic, and Google Gemini**. For additional security, clients can request deployment using: - OpenAI LLMs hosted in **Microsoft Azure** - Anthropic LLMs hosted in **AWS** - Google Gemini LLMs hosted in **GCP** ### Getting Started #### How do I get started with MAGIC? To explore how MAGIC can transform your operations, schedule a [call](https://calendar.google.com/calendar/u/0/appointments/schedules/AcZssZ3EDlTJxIzg-YK899VyxcNkAIz_x9v_AvgpRCZYIKCG9_Uh3yd6wRu6DCiculo-Sz1q1kVsOKt4) or email [hello@sigtech.com](mailto:hello@sigtech.com). We'll work with you to identify the best use case for AI transformation and guide you through our process. #### Where can I get help with MAGIC? For specific questions about MAGIC implementation or functionality, email [support@sigtech.com](mailto:support@sigtech.com) ## Latest Press Coverage **15 Apr 2025** AI Agents as Colleagues: How SigTech is Transforming Finance [Lead With AI (Apple Podcast)](https://podcasts.apple.com/us/podcast/ai-agents-as-colleagues-how-sigtech-is-transforming/id1802979004?i=1000703575042) **9 Apr 2025** SigTech CEO on 'Unprecedented' A.I. Abilities & Tech's Investment Future [Schwab Network](https://schwabnetwork.com/video/sigtech-ceo-on-unprecedented-a-i-abilities-tech-s-investment-future) **2 Apr 2025** SigTech CEO on transforming workflows across financial markets [NYSE Floor Talk with Judy Shaw](https://tv.nyse.com/floor-talk-with-judy-shaw/season:3/videos/sigtech-ceo-on-transforming-workflows-across-financial-markets) **27 Mar 2025** Waters Wavelength Ep. 310: SigTech's Bin Ren [Waters Technology](https://www.waterstechnology.com/emerging-technologies/7952345/waters-wavelength-ep-310-sigtechs-bin-ren) **5 Mar 2025** AI-Run Funds, Four-Day Work Weeks: Investors Say Hype Is Real [Bloomberg](https://www.bloomberg.com/news/articles/2025-03-05/ai-run-funds-four-day-work-weeks-investors-say-hype-is-real) **4 Mar 2025** SigTech CEO Bin Ren on AI and Finance [Bloomberg Invest](https://www.bloomberg.com/news/videos/2025-03-04/sigtech-ceo-bin-ren-on-ai-and-finance-video) **4 Mar 2025** SigTech CEO Ren on How AI & Finance Can Coexist [Bloomberg TV](https://www.bloomberg.com/news/videos/2025-03-04/sigtech-ceo-ren-on-how-ai-finance-can-coexist-video) **4 Mar 2025** Bloomberg Intelligence: Trump Tariffs Spark Quick Retaliation [Bloomberg Radio](https://www.bloomberg.com/news/audio/2025-03-04/bloomberg-intelligence-trump-tariffs-spark-payback-podcast) **3 Mar 2025** SigTech's Bin Ren on AI Agents for Investors [Alpha Intelligence Podcast](https://youtu.be/DHqY2pMMxNk) **20 Feb 2025** My AI Agent: AI’s Role In Transforming Investing For Everyone [Forbes](https://www.forbes.com/sites/lawrencewintermeyer/2025/02/20/my-ai-agent-ais-role-in-transforming-investing-for-everyone/) **31 Jan 2025** 5 Things Everyone Is Overlooking In AI Adoption And Usage [Forbes](https://www.forbes.com/sites/nadiaedwards-dashti/2025/01/31/5-things-everyone-is-overlooking-in-ai-adoption-and-usage/) **15 Jan 2025** Krishna Nadella - XXXVIII Conference of Central Banks and Official Institutions [FLAR (Fondo Latinoamericano de Reservas)](https://www.youtube.com/watch?v=-wgARFo98nQ) **17 Dec 2024** What at Stake for AI Ethics and the Future of Work [Harrington Starr](https://podcasts.apple.com/bj/podcast/whats-at-stake-for-ai-ethics-and-the-future-of-work/id1451323303?i=1000680658071) **13 Dec 2024** Evolution of A.I. Agents in Finance, Capable of 'Thinking' [Schwab Network](https://schwabnetwork.com/video/evolution-of-a-i-agents-in-finance-capable-of-thinking-) **4 Dec 2024** Brevan Howard's AI spinoff is using LLMs to turn analysts into quants [eFinancial Careers](https://www.efinancialcareers.com/news/brevan-howard-s-ai-spinoff-is-using-ll-ms-to-turn-analysts-into-quants) **3 Oct 2024** The Impact of AI on Capital Markets with Bin Ren [Numerix](https://www.numerix.com/resources/podcast/impact-ai-capital-markets-bin-ren) **19 Jul 2024** Start-up uses ‘Magic’ to democratize access to AI for hedge funds [Waters Technology](https://www.waterstechnology.com/emerging-technologies/7951901/start-up-uses-magic-to-democratize-access-to-ai-for-hedge-funds) **24 Jun 2024** AI for FinTech: Saviour or Saboteur? A Greek Mythology Perspective (with a Touch of Dry Wit!) [Harrington Starr](https://www.harringtonstarr.com/resources/blog/ai-for-fintech--saviour-or-saboteur--a-greek-mythology-perspective--with-a-touch-of-dry-wit--/) **11 Jun 2024** The Future of Trading: How Advanced AI Models Could Transform Market Strategies [AI Founders Podcast](https://podcasts.apple.com/us/podcast/the-future-of-trading-how-advanced-ai-models/id1760466556?i=1000675840798) **30 Apr 2024** Unleashing the Power of Data & AI: Implications of GenAI in Capital Markets [Citi Global Insights](https://www.citigroup.com/global/insights/global-insights/unleashing-the-power-of-data-ai-implications-of-genai-in-capital-markets) **19 Jan 2024** The importance of generative AI in financial investing [FINTECH.TV](https://www.fintech.tv/News/Detail/7844-the-importance-of-generative-ai-in-financial-investing) **22 Nov 2023** With Great Power Comes Great Responsibility [Harrington Starr](https://www.youtube.com/watch?v=s1KePncvM-0) **16 Nov 2023** AI Will Change Finance, Investing & Trading Forever [Creative Capital](https://www.youtube.com/watch?v=ARSAIsk27d0) **14 Nov 2023** Advancements In A.I. Trading [Schwab Network](https://schwabnetwork.com/video/advancements-in-a-i-trading) **18 Oct 2023** Potential Applications of Generative AI and Democratizing Quant Trading [The Innovators' Exchange by Oliver Wyman](https://open.spotify.com/episode/2YTmD9Tv9zhjhJPxmmAZOA?go=1&sp_cid=3a6f7fc29f3bff559360046145d2643a&utm_source=embed_player_p&utm_medium=desktop&nd=1&dlsi=74d999b3e2f042b0) **22 Sep 2023** How AI Can Help Boost Inclusion Across The Fintech Industry [Forbes](https://www.forbes.com/sites/nadiaedwards-dashti/2023/09/22/how-ai-can-help-boost-inclusion-across-the-fintech-industry/) **19 Sep 2023** Can AI be Trusted with Inclusion? [Harrington Starr](https://podcasts.apple.com/bj/podcast/the-dei-discussions-can-ai-be-trusted-with/id1451323303?i=1000628372734)