Why most AI falls short in finance
Most AI finds patterns in past data. That works until markets change, and it can’t tell you why it made the call. In finance, where every decision has to hold up to scrutiny, that’s a real problem.
trueAGI takes a different approach, called neuro-symbolic AI. It combines two things: neural networks, which learn patterns from data, and symbolic reasoning, which works through a problem step by step, using logic and rules. Together, they let our AI learn like a model and think like an analyst.
Reasoning you can follow. Decisions you can trust.
trueAGI brings decades of AGI research to finance, with AI that explains every call it makes.
- Reasons through new information, instead of only matching old patterns
- Explains every conclusion, step by step
- Handles uncertainty and incomplete data
- Adapts as conditions change, without starting over
Built to fit how your team works
Connects to the data and tools you already use
Runs in the cloud, on-premises, or both, to meet your security and compliance needs
Leaves an audit trail your risk and compliance teams can check
Uses less hardware, energy, and data than many of today’s models
Where we focus
We’re building for capital markets and private equity:
- Market forecasting: signals, scenarios, and sharper forecasts
- Investment research: faster analysis of filings, news, and data
- Risk and compliance: monitoring and risk assessments you can audit
- Private equity: deal sourcing, due diligence, and portfolio monitoring
Behind it all is decades of research in artificial general intelligence, led by Dr. Ben Goertzel.
