KyrosLabs

TRAINROBOTSINTHEWORLDTHEY'LLACTUALLYLIVEIN.

One robot. Millions of worlds.

Kyros lets every policy encounter scale, variation, and failure modes before the first hardware run.

Outdoor terrainlocomotion stress test
rocksslopefriction drift

Robots learn the hard way.
Until now.

Real-world training

35%performance drop

Average loss when lab policies meet real friction, contact noise, and hardware risk.

Limitations
  • Weeks of setup per task
  • Robot damage and safety risk
  • Impossible to scale variations
  • No edge case coverage

Kyros simulation

64%faster training

Validated environments make policy training repeatable before a robot touches hardware.

Advantages
  • Environments ready in minutes
  • Zero hardware risk
  • 10,000+ procedural variations
  • Full edge case library

From prompt to policy,
three steps to clarity.

Python 3.11
# Kyros Platform SDK — v1.0
import kyros
# Load a pre-built kitchen environment
env = kyros.environments.load("kitchen_v4.2",
    robot="franka_panda",
    variations=10000,
    domain_randomization=True
)
# Configure training curriculum
curriculum = kyros.curriculum.build(
    task="pick_and_place",
    difficulty="progressive",
    edge_cases=["clutter", "occlusion", "low_light"]
)
# Train policy — runs 430,000x faster than real time
policy = kyros.train(env, curriculum, timesteps=1e8)
# Export for real-world deployment
policy.export("my_robot_policy.pt")
01

Choose an Environment

Browse our marketplace of pre-built, physics-accurate simulation environments. Kitchen, warehouse, outdoor terrain, hospital room. Every major task category is covered.

02

Configure Your Training

Select a task from our library, set your domain randomization parameters, choose your curriculum difficulty progression. No environment-building required.

03

Deploy to Real Hardware

Export your trained policy. Our transfer-optimized environments are validated for real-world deployment. What trains in Kyros, transfers to your robot.

Everything your
sim-to-real pipeline needs.

01

Environment Marketplace

Hundreds of pre-built, task-specific environments. Kitchens, warehouses, outdoor terrain, hospitals. Ready in minutes, not months.

02

Task Libraries

Pre-configured task definitions with reward functions, success criteria, and observation spaces. Don't write reward code. Just train.

03

Training Curricula

Ordered difficulty progressions proven to produce generalizable policies. Start easy, end expert. Built by researchers who've done it before.

04

Domain Randomization

10,000 object variations per environment. Tested randomization configs that maximize transfer rate without breaking policy learning.

05

Genesis-Powered Physics

Built on Genesis — the physics engine that runs 430,000x faster than real time. Train policies in 26 seconds that used to take days.

06

Transfer Validation

Every Kyros environment is validated against real-hardware transfer benchmarks. Verified environments carry a 'Transfer-Tested' badge.

Training worlds that feel built, not assembled from placeholders.

Kyros environments are productized simulation assets: geometry, physics, randomization, task definitions, and transfer reports move together.

kitchen_environment10,512 variations / 96.4% transfer
contact suitegrasp target
frictiondeformpose
physics
policy
transfer

Residential manipulation without weeks of scene work.

Cabinets, transparent objects, soft clutter, lighting variation, and contact edge cases ship as one reproducible training environment.

10,512
procedural variations
96.4%
internal transfer score
v4.2
versioned environment

The bottleneck is no longer model ambition.
It is training infrastructure.

Policies that look solved in simulation still fail when contact, friction, sensing, latency, and object variation change.

Problem
Reality gap
1/3

Most teams spend weeks building scenes, tuning randomization, and wiring reward logic before training even starts.

Bottleneck
Infrastructure drag
2/3

The winning stack needs reusable environments, reproducible runs, and transfer evaluation built into the workflow.

Answer
Kyros thesis
3/3

The robots of tomorrow need training grounds today.

Join the waitlist. Be the first team to access Kyros and experience physics-accurate simulation at scale.