From Idea to Millions of Requests, Simplified
Sutro takes the pain away from testing and scaling LLM batch jobs to unblock your most ambitious content projects.
import sutro as so
from pydantic import BaseModel
class ReviewClassifier(BaseModel):
sentiment: str
user_reviews = '.
User_reviews.csv
User_reviews-1.csv
User_reviews-2.csv
User_reviews-3.csv
system_prompt = 'Classify the review as positive, neutral, or negative.'
results = so.infer(user_reviews, system_prompt, output_schema=ReviewClassifier)
Progress: 1% | 1/514,879 | Input tokens processed: 0.41m, Tokens generated: 591k
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Rapidly Prototype
Start small and iterate fast on your content generation workflows. Accelerate experiments by testing on Sutro before committing to large jobs.
Scale Effortlessly
Scale your LLM workflows so your team can do more in less time. Process billions of tokens in hours, not days, with no infrastructure headaches or exploding costs.
Integrate Seamlessly
Seamlessly connect Sutro to your existing LLM workflows. Sutro's Python SDK is compatible with popular data orchestration tools, like Airflow and Dagster.
Create Content at Scale
Confidently handle millions of requests and billions of tokens at a time. Go from generating a handful of articles to creating personalized content for millions of users without managing infrastructure.
Get results faster and dramatically lower your expenses. Sutro reduces costs by parallelizing your LLM calls, making large-scale content generation financially viable.
Go From Idea to Published in Hours
Shorten your content development cycles. Get feedback from large batch jobs in minutes and process entire campaigns in hours, not days, to move faster than the competition.