Revitalize
Your
Business
DeepMindCraft
A mid-sized stock trading company relied on multiple disconnected data sources to conduct market analysis and investment research. We designed and deployed a multi-agent AI platform that unified fragmented workflows into a coordinated, cloud-hosted intelligence system—enabling analysts to generate comprehensive market assessments in minutes instead of hours.
"This system transformed how we work. What used to require hours of manual data gathering and coordination across teams now happens automatically through intelligent agents."
- Chief Investment Officer
Client Background
A mid-sized stock trading company relied on multiple disconnected data sources to conduct market analysis, evaluate investment opportunities, manage risk, and generate portfolio insights. Analysts often switched between dashboards, spreadsheets, APIs, and research portals, leading to repetitive work and delayed decisions.
The Challenge
The firm wanted to streamline its research and analysis workflow, but faced several barriers:
▸ Data Fragmentation
Market prices, fundamentals, research summaries, and risk indicators existed across unrelated tools and databases.
▸ Slow Analytical Cycles
Analysts spent significant time gathering and transforming data before they could begin any meaningful evaluation.
▸ Lack of Unified Decision Layer
Each analyst team used its own methodology, creating inconsistent insights and duplicated effort across departments.
To stay competitive, the company needed a system that could unify data, automate analysis, and support consistent investment decisions.
Our Approach
We designed a multi-agent AI platform that automated the firm's full research workflow, turning scattered information into a coordinated, cloud-hosted intelligence system.
Solution Architecture
The system was built using Gemini as the core LLM, orchestrating six specialized financial agents:
1. Financial Data Analyst Agent
• Pulled real-time metrics using Yahoo Finance API and FinancialDatasets API • Normalized and cached data for instant access across all agents • Provided consistent, reliable market data foundation
This eliminated fragmented data sources and provided a single source of truth for market information.
2. Supporting Agent Team
• Market Research Analyst Agent — Summarized market conditions, sector trends, and macroeconomic factors • Investment Analyst Agent — Evaluated stocks using valuation metrics, fundamentals, and historical performance • Risk Management Agent — Calculated volatility, drawdowns, beta exposure, and scenario risks • Portfolio Manager Agent — Proposed allocations, rebalancing decisions, and diversification strategies • Financial Reporting Specialist Agent — Generated structured insights, dashboards, and advisory-style summaries
Together, these agents acted like a digital research team—each piece working independently but communicating through a unified system.
3. Cloud-Based Web Application
The final solution was deployed as a secure, scalable web platform where:
• Analysts could trigger full market assessments within minutes • All agent insights were combined into cohesive reports • The system ran continuously without manual supervision • Real-time monitoring and alerting enabled proactive decisions
The platform became an always-on intelligence system for the trading desk.
Impact
The platform delivered measurable transformation across all operations:
⚡ Faster Analysis
What previously took hours of manual data gathering and cross-verification was now available in minutes through automated agents.
🎯 Unified Source of Truth
All market data, research outputs, and risk insights were consolidated in a single interface, eliminating inconsistencies.
✓ Consistent Decisions
Automated workflows ensured that every evaluation followed the same logic, improving reliability and reducing oversight gaps.
📈 Higher Team Productivity
Analysts shifted from data collection toward higher-value decision-making and strategy development.
The platform effectively transformed a fragmented process into an intelligent, scalable research system that accelerated decision-making across the entire trading desk.
Why It Worked
The success came from combining three critical elements:
Multi-agent architecture powered by Gemini
Specialized agents that each focus on a specific analytical domain, communicating seamlessly to provide comprehensive insights.
Enterprise-grade cloud deployment
Secure, scalable infrastructure ensuring real-time performance and continuous operation without manual intervention.
Alignment with trading desk workflows
The system was designed to replace manual processes and provide insights in formats that directly support investment decisions.
By combining a multi-agent architecture with enterprise-grade cloud deployment and Gemini's reasoning abilities, our solution replaced fragmented, manual processes with an intelligent, scalable trading research system.
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