STRATUS X1
A World Model to unlock the next generation of Agents.
Stratus predictsdigital worlds
STRATUS is a world model built for agents. It sits above LLMs, not replacing them, supplying the predictive intelligence needed for reliable planning, action, and coordination.
Same SDK.
Smarter agent.
import OpenAI from 'openai';const client = new OpenAI({ baseURL: 'https://api.stratus.run/v1', apiKey: process.env.STRATUS_API_KEY});const response = await client.chat.completions.create({ model: 'stratus-x1ac-base-claude-sonnet-4-5', messages: [ { role: 'user', content: 'Plan a route through 20 cities' } ]});Drop-in compatible with your existing SDK. Just change the baseURL and use your Stratus API key.
World Model Architecture
STRATUS X1 is built on a chain of interlocking concepts, each one a prerequisite for the next. Together they form the first production world model for agents.
World Model
Where LLMs predict tokens, Stratus X1 predicts states. It encodes the current environment into a dense embedding and learns how the world changes when an agent acts.
Prediction
Before the agent touches the environment, X1 forecasts outcome embeddings across candidate action sequences converting blind execution into foresighted planning.
Simulation
X1 rolls out multiple futures in latent space simultaneously. Each branch is a simulated digital world, explored in under 10 ms, before a single real action is taken.
Comparison
A learned value function scores each simulated trajectory against the task objective. Enabling agents to move along the highest-ranked path, not the first plausible one an LLM generates.
Validation
Every action is followed by a prediction check. If the outcome doesn't match what X1 expected, it triggers a new planning cycle so agents recover from errors instead of compounding them.
Living Model
Unlike static models, Stratus X1 continuously learns through anonymized interaction traces. Allowing the model to adapt over time without ever storing inference data or sensitive information.
Infrastructure
Agents that plan
before they act
STRATUS X1 predicts state transitions in embedding space, giving agents the foresight to simulate, plan, and validate before execution. Task success doubles. Real autonomy emerges.
WebArena Task Success Rate
Real-world web automation tasks. STRATUS X1 boosts navigation, interaction, and completion rates.
HotpotQA Performance
Multi-hop reasoning benchmark. STRATUS X1 lifts both EM and F1 by simulating outcomes before responding.
Increases completions, lowers token usage, and provides near-zero latency.
not words..