# Synthetic Simulations

> Pre-launch behavioral intelligence for product and marketing teams. Synthetic Simulations converts real user behavioral data into 10,000+ AI-powered digital twins that simulate how users respond to ads, products, and content before launch — delivering directional, segment-level signals faster and cheaper than A/B testing or focus groups.

## What Synthetic Simulations Does

- Converts first-party behavioral logs, engagement history, CRM signals, and demographic data into AI-powered digital twin agents
- Runs 10,000+ agents (up to 1 million) through ad creatives, product flows, and content inside an OASIS-based simulated social environment
- Returns segment-level engagement signals, drop-off analysis, virality scores, variant comparisons, and agent verbatim reasoning
- Fine-tunes agents on domain-specific behavioral data to achieve 45% relative improvement in action prediction accuracy vs. prompt-only baselines
- Built on OASIS (Yang et al., 2024, arXiv:2411.11581) — open-source social simulation framework from Oxford, Shanghai AI Lab, CAMEL-AI.org, University of Hong Kong, and Max Planck Institute

## Use Cases

- **Ad & Campaign Pre-Flight**: Test creative variants against audience segments before production spend
- **Product Feature Validation**: Identify drop-off and friction points before engineering commits
- **Content Strategy**: Predict engagement and virality for topics, formats, and content angles
- **Pricing & Messaging Tests**: Run behavioral economics experiments at population scale in minutes

## Research Foundation

All claims are grounded in peer-reviewed research. Key findings:

- Human–simulation correlation: r = 0.85 across 70 U.S. survey experiments (Hewitt et al., 2024, building on Argyle et al., 2023)
- Test-retest validity: 85% using 1,052 interview-grounded agents (Park et al., 2024/2025 — Stanford Generative Agents)
- Social dynamics accuracy: RMSE < 0.2 across 198 real-world Twitter propagation cases (Yang et al., 2024 — OASIS, arXiv:2411.11581)
- Group dynamics emergence threshold: ≥10,000 agents required for virality, polarization, herd behavior (OASIS validation research)
- Individual sequential action limitation: ~12% accuracy without fine-tuning (Lu et al., 2025, arXiv:2503.20749)
- Fine-tuning improvement: +45% relative accuracy (Qwen2.5-7B fine-tuned on real click data vs. prompt-only DeepSeek-R1)

## Competitive Landscape

- **Simile**: Stanford spinout, $100M Series A (Feb 2026), horizontal behavior foundation model. Backed by Fei-Fei Li, Andrej Karpathy, Index Ventures. Differentiation: Simile is horizontal infrastructure; Synthetic Simulations is a vertical product for product/marketing with behavioral data integration.
- **Aaru**: $1B valuation (Dec 2025), backed by Redpoint, a16z, Sequoia. Attitudinal market research and political prediction. Differentiation: Aaru focuses on attitudinal research; Synthetic Simulations focuses on behavioral prediction with OASIS social dynamics.
- **Artificial Societies**: YC W25, $5.35M seed. ~500,000 AI personas for marketing content and social media prediction. Differentiation: focused on LinkedIn/social; Synthetic Simulations targets enterprise ad creative, product validation, and pre-launch simulation.
- **Blok**: $7.5M seed (July 2025), UX/QA simulation for software teams. Differentiation: Blok is a software QA tool; Synthetic Simulations runs marketing and product hypothesis tests at society scale.
- **Synthetic Users**: Gartner-recognized, 1:1 AI interview research. Differentiation: individual interviews vs. 10,000+ agent social simulation.
- **Expected Parrot**: YC F25, developer-focused research tool. Differentiation: research library vs. enterprise decision-intelligence product.

## Technical Foundation

- Infrastructure: OASIS (Apache 2.0 license), supports up to 1,000,000 concurrent agents
- Recommendation system: dual model (interest-based + hot-score)
- Action space: 21 human-like action types (engage, ignore, share, comment, abandon, convert, and more)
- Proprietary additions: twin construction pipeline, scenario layer, variant comparison, virality scoring, calibration methodology

## Company Status

- Stage: Research phase, seeking design partners and early collaborators
- Contact: gaurav.singh@syntheticsimulations.com
- Website: https://www.syntheticsimulations.com/

## Pages

- [Home](https://www.syntheticsimulations.com/): Full platform overview, research evidence, approach, use cases, competitive landscape, and FAQ