VCs Are Starting to Use AI to Predict the Future
Venture Capital Begins Predicting the Future with AI
In July, DigClaw's prediction framework, Rhizome v1, achieved three spots (#1, #3, #7) on the FutureX evaluation platform using three different foundational models, including Kimi-K3 and DeepSeek-V4-Pro. It was the only participant to place multiple distinct base models in the top ranks on this benchmark of 59 real-world questions covering politics, economics, and technology, where data leakage is impossible.
This result validates DigClaw's core thesis: predictive capability can be built *outside* of the base model itself. While base models provide general reasoning, the system architecture—handling search, reasoning, and probability inference separately—accumulates its own predictive assets.
DigClaw argues that large language models (LLMs) are naturally weak at prediction, as they learn correlations, not causation. This leads to issues with causal direction, intervention reasoning, and probability calibration. Existing solutions like prediction markets or end-to-end LLM training also have limitations.
The Rhizome framework addresses this through three key engineering decisions:
1. **Decoupling Search and Reasoning:** Separate specialized agents handle information retrieval (optimized for relevance) and structured reasoning, avoiding the contamination of each task.
2. **Trajectory Logging and Probability Calibration:** It maintains a complete, timestamped record of every prediction—evidence, reasoning steps, and final probability—before an event's outcome is known. After settlement, this data is used for systematic calibration (e.g., Platt scaling) to ensure predicted probabilities align with long-term frequencies.
3. **Causal-Chain-Aware Updates:** A novel Bayesian update framework under development identifies if new evidence belongs to an existing causal chain, preventing the same underlying cause from being counted multiple times and reducing overconfidence.
DigClaw's technology powers Newborn Ventures, an AI-native VC firm that believes investment is fundamentally about prediction. The same verified predictive capability used on FutureX is applied internally for investment decisions and is offered externally to corporations, financial institutions, and government funds for strategic foresight and risk assessment.
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