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Description

Cognigram is an online platform designed to automatically analyze data and produce reports that summarize the outcomes of cognitive tests. Typically, completing the Cognigram assessment requires around 10 to 15 minutes. This tool is aimed at supporting healthcare professionals by providing an objective evaluation of cognitive function for individuals ranging from 6 to 99 years of age. The resulting reports are user-friendly for clinicians and include comparisons to normative data from healthy, age-matched individuals. The assessment process, which takes roughly 15 minutes, evaluates four distinct cognitive domains. Results are computed automatically, ensuring efficiency. The assessment consists of four tests that utilize playing cards to pose straightforward "yes" or "no" questions, with instructions and practice sessions provided for clarity. Furthermore, the Cognigram system can be utilized not only for a one-time assessment but also for monitoring cognitive changes across multiple evaluations, making it a versatile tool in cognitive assessment.

Description

SWE-2 is a software engineering model from Cognition built for agentic coding tasks that require strong performance at lower computational and monetary cost. It is post-trained from the Kimi K3 base model and extends Cognition’s earlier SWE-1.7 training approach with a new reinforcement learning method for jointly optimizing multiple reasoning-effort settings. Medium, high, and maximum effort modes provide different tradeoffs between speed, cost, exploration, and verification depending on task complexity. The model is trained to inspect only the parts of a codebase that are likely to matter, helping it reach implementation faster and reduce unnecessary exploration. SWE-2 can generate and modify code, run tests, analyze repositories, work through terminal tasks, and verify whether implementations satisfy user requirements. Cognition also reports improvements in end-to-end test creation, regression detection, instruction following, and re-deriving conclusions when challenged. Its training process incorporates cost-aware rewards, length-weighted reward baselines, expanded reinforcement learning environments, and hardened verifiers intended to improve both efficiency and reliability. SWE-2 is positioned as a cost-efficient alternative to larger frontier coding models while remaining competitive on software engineering benchmarks such as FrontierCode, DeepSWE, and Terminal-Bench. The model is available in Devin Desktop and Devin CLI and is being introduced to additional Cognition products including Devin Web and Fusion.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

.NET No 
C# No 
Dart No 
Devin No 
Devin Desktop No 
HTML No 
JSON No 
Kotlin No 
Kubernetes No 
Lua No 
MATLAB No 
Objective-C No 
PHP No 
Python No 
R No 
SQL No 
Scala No 
Solidity No 
TypeScript No 
YAML No 

Integrations

.NET Yes 
C# Yes 
Dart Yes 
Devin Yes 
Devin Desktop Yes 
HTML Yes 
JSON Yes 
Kotlin Yes 
Kubernetes Yes 
Lua Yes 
MATLAB Yes 
Objective-C Yes 
PHP Yes 
Python Yes 
R Yes 
SQL Yes 
Scala Yes 
Solidity Yes 
TypeScript Yes 
YAML Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$20/month
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
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

Cognigram

Country

United States

Website

www.cognigram.us/cognigram/about

Vendor Details

Company Name

Cognition

Founded

2023

Country

United States

Website

cognition.com

Product Features

Alternatives

Alternatives

SWE-1.7 Reviews

SWE-1.7

Cognition