
AI Researcher Startup Valuations
Forecast seed valuations for 116 AI researchers if they left to found a startup.
116 researchers forecasted
Research, then predict
Forecasting agents research sets of questions to produce probabilities, dates, or numbers about the future. Accuracy backed by our forecasting evals.
▶ 2-min demo video coming soon
claude mcp add futuresearch --scope project --transport http https://mcp.futuresearch.ai/mcp Then ask Claude to forecast your data.
pip install futuresearch
from futuresearch.ops import forecast
result = await forecast(
task="Will this person leave
to found an AI startup
by end of 2027?",
input=researchers_df,
)Start with $20 in free credits. No credit card required. Costs vary based on the complexity of research needed to produce each forecast.
| Case study | Rows | Forecast type | Cost |
|---|---|---|---|
| AI researcher startup valuations | 116 | Numeric (percentiles) | $9 |
| Polymarket profit screening | 55 | Binary probabilities | $5 |
| Anthropic & OpenAI IPO forecasts | 2 | Date + valuation | $1 |
Forecasters run LLM-powered web research agents that gather evidence, weigh base rates, and synthesize multiple sources into calibrated predictions. Simple binary questions cost less; numeric forecasts with full percentile distributions require more research. You only pay for the intelligence each row needs. We measure calibration accuracy on Deep Research Bench.
Start with $20 free credit. No credit card required.