STRATUSX1

STRATUS X1

A World Model to unlock the next generation of Agents.

The Agentic World Model Layer

while LLMs predict tokens..

Stratus predicts 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.

Aggregate lift

Across tasks and models, X1 consistently compresses tokens and boosts completion, with minimal latency.

001
0.0×
Task Success Rate
002
0%
Token Reduction
003
+0%
Exact Match Improvement
004
<0ms
Inference Latency
Benchmarks

Agents that see
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.

Claude Sonnet 4
+105%
Baseline
20%
With X1
41%
GPT-4o
+100%
Baseline
17%
With X1
34%
Llama 4 Scout
+150%
Baseline
12%
With X1
30%
DeepSeek V3
+93%
Baseline
15%
With X1
29%

HotpotQA Performance

Multi-hop reasoning benchmark. STRATUS X1 lifts both EM and F1 by simulating outcomes before responding.

DeepSeek V3
Exact Match
37%vs62%
F1 Score
0.46vs0.68
GPT-4o
Exact Match
44%vs68%
F1 Score
0.54vs0.79
Claude Sonnet 4
Exact Match
41%vs62%
F1 Score
0.49vs0.77
Llama 4 Scout
Exact Match
35%vs58%
F1 Score
0.43vs0.67

Without Stratus

  • ×Agents act blindly, guessing what might work
  • ×Low success rates on real-world tasks
  • ×Wasted tokens on failed attempts and backtracking

With Stratus

  • ✓Simulates multiple worlds before taking action
  • ✓Chooses the best path across possible worlds
  • ✓Higher success, fewer tokens, faster responses
Predict worlds,
not words..
Benchmark Suite

Let agents plan,
not guess.

A benchmark suite designed to maximize the performance gap between LLM-only agents and LLMs with a world model.

Select Category

32 Challenges Available

View All 32 Tests→
Instant Gain

2-Minute Unlock

Compatible with OpenAI and Anthropic SDKs. One line change. Zero refactoring.

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: 'claude-sonnet-4.5',
  messages: [
    { role: 'user', content: 'Plan a route through 20 cities' }
  ]
});

Drop-in compatible with OpenAI and Anthropic SDKs. Just change the baseURL and use your Stratus API key.

⚡Same API format
🔄Seamless fallback
📊Usage analytics
🔒Enterprise-ready

X1