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Description

Frontier AI labs use Patronus AI to train models and agents on realistic, multi-step work. The company designs reinforcement learning environments modeled on everyday digital tasks, from writing and shipping code to operating websites, resolving customer support requests, and completing financial workflows. Every environment combines replicas of real software with task definitions and reward signals, and it introduces the friction agents meet in practice, including slow responses, changing interfaces, and interruptions. Alongside these environments, Patronus AI researches Digital World Models: AI models that learn how software environments respond to an agent’s actions, making it possible to create new training environments automatically and keep them challenging as model capabilities grow. Labs apply this work across post-training, benchmarking, and evaluation.

Description

SWE-1.7 is Cognition’s most capable software engineering model, built to push frontier coding performance while reducing the cost of high-quality agentic rollouts. The model is designed for real-world software development tasks that require extended reasoning, codebase understanding, terminal use, debugging, feature work, migrations, and careful validation. It was trained from a Kimi K2.7 base and improved through Cognition’s reinforcement learning pipeline, including more stable training, stronger infrastructure, better data curation, and long-horizon task techniques. SWE-1.7 is especially optimized for asynchronous software engineering, where an agent needs to work through large projects over longer sessions instead of simply answering short prompts. Its self-compaction capabilities allow the model to summarize its working state and resume from that summary, helping it operate beyond the raw context window on multi-hour tasks. The model is also trained to balance task success with efficiency, using concise reasoning when possible while preserving deeper exploration for harder problems. SWE-1.7 tends to investigate codebases more thoroughly than its base model, reading files, running searches, probing edge cases, and experimenting before making changes. It is available in Devin through web, desktop, and CLI interfaces, with Cerebras serving support at 1000 TPS. SWE-1.7 gives developers and engineering teams a high-performance coding model for complex software projects at a more practical cost.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

.NET No 
C No 
C# No 
CSS No 
Cerebras No 
Dart No 
Devin No 
HTML No 
JSON No 
Lua No 
Objective-C No 
PHP No 
PowerShell No 
SQL No 
Scala No 
Solidity No 
Swift No 
TypeScript No 
XML No 
YAML No 

Integrations

.NET Yes 
C Yes 
C# Yes 
CSS Yes 
Cerebras Yes 
Dart Yes 
Devin Yes 
HTML Yes 
JSON Yes 
Lua Yes 
Objective-C Yes 
PHP Yes 
PowerShell Yes 
SQL Yes 
Scala Yes 
Solidity Yes 
Swift Yes 
TypeScript Yes 
XML Yes 
YAML Yes 

Pricing Details

Custom pricing based on project scope. Contact Patronus AI to discuss.
Free Trial No 
Free Version No 

Pricing Details

$20/month
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Patronus AI

Founded

2023

Country

United States

Website

www.patronus.ai/

Vendor Details

Company Name

Cognition

Founded

2023

Country

United States

Website

cognition.com

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning Yes 
Multi-Language No 
Natural Language Processing Yes 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

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