multi-agent AI simulation

simulate decisions
before you make them

Run thousands of AI simulations across business, finance, and molecular biology. Upload your data, model markets, proteins, or portfolios — and predict outcomes before committing.

2.4M+
simulations run
73%
avg success rate
12K+
active users
6+
domains supported
sylor.ai / simulations / multi-domain
success probability
73%
revenue projection — 12 months
agent activity — 1,000 runs
customers500
traders24
molecules128
data streams6
everything you need

simulation at
enterprise scale

01

multi-agent AI system

Each agent represents a real market participant — customers, competitors, regulators, investors — all reacting dynamically to your decisions.

02

thousands of scenarios

Run 100 to 10,000 simulation variants automatically. Get statistically reliable success probabilities with confidence intervals.

03

decision trees & what-ifs

Explore every decision path visually. Tweak any variable and rerun instantly to see how small changes compound into big differences.

04

no-code simulation builder

Design full market simulations through simple forms. Define agents, rules, and variables without writing a single line of code.

05

interactive dashboards

Visualize outcomes with dynamic charts, probability distributions, market growth curves, and competitive dynamics over time.

06

AI-generated insights

Claude AI explains why scenarios succeed or fail in plain language, highlighting key risk factors and hidden opportunities.

07

live rerun engine

Adjust any input — pricing, budget, timing, market size — and watch results update in real time without waiting.

08

real-world data calibration

Ground your simulations in reality with industry benchmarks, market data, and historical patterns for more accurate predictions.

09

save & compare strategies

Save multiple simulation configurations and run head-to-head comparisons to find your optimal strategy scientifically.

multi-domain simulation

one platform, every domain

From boardroom strategy to molecular labs to trading floors — simulate any system with domain-specific AI agents and variables.

business & strategy

Model startup launches, pricing experiments, market entries, and policy impacts. Simulate customers, competitors, and regulators reacting to your decisions in real time.

go-to-market modeling
pricing optimization
competitive dynamics
policy impact analysis
agents
customers · competitors · investors · regulators

financial markets

Forecast stock trends, optimize portfolios, and model risk scenarios. AI traders and market makers simulate realistic order flow, volatility regimes, and macro shocks.

stock price forecasting
portfolio optimization
risk modeling
volatility analysis
agents
traders · market makers · data streams

molecular & biology

Simulate molecular interactions, protein folding trends, and drug binding dynamics. Model enzymes, substrates, and conformational changes at scale — inspired by AlphaFold.

binding affinity prediction
molecular dynamics
drug interaction modeling
conformational analysis
agents
molecules · enzymes · substrates
9
simulation categories
10+
agent types
50+
configurable variables
data-powered simulations

upload your data,
simulate with precision

Import CSV or Excel files to ground your simulations in real data. Sylor auto-detects columns, maps them to simulation variables, and calibrates agents based on your actual numbers.

.csv
.xlsx
.xls
max 10MB
auto-detect column types and statistics
map columns to simulation variables
calibrate agent behavior from real patterns
preview data before running simulations
try data upload

drop your file here or click to browse

CSV, XLSX, XLS up to 10MB

market_data_2024.csv2.4 MB · 1,240 rows
✓ parsed4 columns detected
column preview
column
type
sample
action
date
datetime
2024-01-15
→ map to var
price
float64
142.50
→ map to var
volume
int64
3,241,000
→ map to var
sentiment
float64
0.73
→ map to var
simple process

from idea to insight
in minutes

01

define your scenario

Choose a template or start from scratch. Set your market variables — budget, pricing, team size, competition level, and more.

02

configure AI agents

Set up your market participants: how many customers, what competitors exist, are regulators involved? Each agent has configurable behavior.

03

run thousands of simulations

Hit Run and our AI engine executes hundreds to thousands of scenarios in seconds, exploring the full range of possible futures.

04

get actionable insights

Review your success probability, risk factors, and optimal strategy. AI explains results in plain language so you can act with confidence.

no data science degree required
ready to use

start with a template

startupbeginner

startup launch

Model go-to-market strategy. Simulate customer acquisition, burn rate, and market penetration across funding scenarios.

500 customers3 competitors12 investors
8 variables67% avg success
pricingbeginner

pricing strategy

Find optimal price points. Simulate elasticity, competitor reactions, and revenue impact across multiple price tiers.

1000 customers5 competitors
6 variables82% avg success
policyadvanced

policy impact

Test regulatory policies before implementation. Model societal behavior, compliance rates, and economic second-order effects.

10K citizens50 companies3 regulators
15 variables54% avg success
marketingintermediate

marketing campaign

Optimize campaign spend. Simulate channel effectiveness, word-of-mouth spread, and brand awareness curves.

2000 customers8 competitors
10 variables74% avg success
productintermediate

product launch

Simulate how your product will be adopted. Model virality, churn, feature demand, and competitive response.

5000 users4 competitorstech press
12 variables61% avg success
strategyadvanced

market entry

Assess new market opportunities. Simulate incumbents, regulatory barriers, and customer switching costs.

3000 customers10 incumbents2 regulators
14 variables43% avg success
financeintermediate

stock market forecast

Predict price movements and optimize entry points. Simulate trader behavior, order flow, and macro events across multiple assets.

24 traders4 market makers6 data streams
10 variables62% avg success
biologyadvanced

molecular dynamics

Model protein folding trends and molecular interactions. Simulate binding affinity, conformational changes, and enzymatic reactions.

128 molecules8 enzymes4 substrates
12 variables71% avg success
trendbeginner

trend analyzer

Upload any time-series data and detect hidden patterns. Forecast future trends with confidence intervals and seasonality detection.

6 data streams3 pattern detectors
8 variables78% avg success
transparent pricing

invest in better decisions

One good simulation can save you from a costly mistake. Start free, scale as you grow.

free

explore simulations

$0
  • 5 simulations / month
  • 100 runs per simulation
  • 6 agent templates
  • 3 domain types
  • basic charts & dashboards
  • 3 variable inputs
  • community support
get started free
propopular

serious decision makers

$49/mo
  • unlimited simulations
  • 10,000 runs per simulation
  • all agent types + custom
  • all domains + data upload
  • CSV/Excel data import
  • advanced visualizations
  • unlimited variables
  • save & compare strategies
  • AI insight explanations
  • CSV/PDF export
  • priority support
start pro trial
enterprise

teams and organizations

$299/mo
  • everything in pro
  • unlimited team members
  • custom domain models
  • API data integration
  • real-world data feeds
  • custom agent behaviors
  • API access
  • collaboration tools
  • audit logs
  • SSO / SAML
  • dedicated support
  • SLA guarantee
contact sales