From manual reports to AI-powered insights in 4 days. Now try it.
Monday: learned 3 prompts for market analysis. Tuesday: automated the full workflow. Wednesday: saw how analyst/PM/quant/ops teams use it. Thursday: reviewed the multi-agent architecture. Friday: try the actual system. Paste market data, watch AI extract metrics, generate insights, create reports for different audiences.
Try Different Scenarios
Or Select Complexity Level
💰 ROI & Cost Savings Calculator
Adjust sliders to see potential time and cost savings for your financial analysis team.
Number of analysts on your team
Average annual salary per analyst
Hours per week spent on market research and report writing
Expected time savings (our avg: 85-93%)
Annual Savings
$408,000
Per year with automation
Payback Period
1.5 mo
Time to recover investment
Before vs After Comparison
Before
$480,000
After
$72,000
Before
8,320 hrs
After
1,248 hrs
Before
100%
After
143%
Before
$0
After
$408,000
Before
0 hrs
After
7,072 hrs
ROI Summary
🤖 Watch Multi-Agent Intelligence Collaborate
See how specialized agents work together to analyze market data autonomously
🛠️ Build Your Own Finance Workflow
Pick agents from the palette below to build your custom workflow, then simulate execution.
Available Agents (12)
Your Workflow
Add agents above to build your workflow
How to Use This Demo
- 1Select a scenario button (Tech Bull Run, Earnings Miss, M&A Wave, etc.)
- 2Click 'Process Market Data' to watch AI extract metrics in real-time
- 3See extraction → insight generation → report creation steps animate
- 4Toggle between Analyst/PM/Quant/Ops views to see different perspectives
- 5Try all 5 scenarios to see how system handles different situations
- 6Check 'Watch Agents Collaborate' to see multi-agent workflow in action