The Best AI Companies Have Unique Data Acquisition Strategies | Simile Co-founder & CEO
20VC with Harry Stebbings · 1:05:02 · 3 days ago
Simile develops AI models that replicate human behavior patterns, allowing organizations to run large-scale simulations to test decision-making and predict outcomes in realistic environments.
- Behavioral focus — Models mirror human values, biases, and subjective choices rather than performing mathematical or coding tasks .
- Core architecture — Agents use memory, planning, and reflection to maintain consistency in interactions, acting like independent individuals rather than simple chatbots .
- Data inputs — Training relies on observed behavior, transactions, and experimental data to bridge the gap between user surveys and actual actions .
- Evaluation process — The system compares simulated outcomes against real-world daily events, using the world as ground truth to continuously correct and refine predictions .
- Enterprise value — Organizations use these simulations to perform "what-if" analysis, avoiding financial loss by testing product launches or policy changes before acting .
- Team standards — Hiring focuses on individuals who possess contradictory traits, such as being data-driven yet creative, and balancing short-term paranoia with long-term ambition .
- Efficiency targets — While complex simulations require heavy computing power, engineering efforts focus on reducing inference costs by improving model architecture .