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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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

C
C++
CSS
Cerebras
Devin
Devin Desktop
JSON
Kotlin
Kubernetes
Lua
PowerShell
Python
Ruby
Rust
SQL
Scala
Terraform
TypeScript
XML
YAML

Integrations

C
C++
CSS
Cerebras
Devin
Devin Desktop
JSON
Kotlin
Kubernetes
Lua
PowerShell
Python
Ruby
Rust
SQL
Scala
Terraform
TypeScript
XML
YAML

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$20/month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

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

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