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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:
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.
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.
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.
No - it amplifies them. MAGIC frees your best analysts from repetitive tasks to focus on:
Transform your analysts into AI-augmented experts who achieve 10-100x more productivity.
Position MAGIC as career advancement, not replacement:
Our human-in-the-loop design ensures analysts remain central to decision-making while being amplified by AI.
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 |
Generic AI tools failed you because:
MAGIC delivers:
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:
Quality difference that matters:
While basic text extraction methods lose critical context, formatting, and relationships, our multi-modal approach preserves these nuances for dramatically better AI performance.
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.
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.
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.
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.
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:
To explore how MAGIC can transform your operations, schedule a call or email hello@sigtech.com. We’ll work with you to identify the best use case for AI transformation and guide you through our process.
For specific questions about MAGIC implementation or functionality, email support@sigtech.com