Cognigram 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.
Cognigram Alternatives
An AI based accessibility tool enables websites to be accessible among people with hearing or vision impairments, motor impaired, color blind, dyslexia, cognitive & learning impairments, seizure & epileptic, ADHD, elderly, and Parkinson. It installs in just 2 minutes. It reduces the risk of time-consuming accessibility lawsuits by improving accessibility compliance for the standards WCAG 2.0, 2.1, 2.2, ADA, Section 508, European EAA EN 301 549, Canada ACA, California Unruh, Israeli Standard 5568, Australian DDA, UK Equality Act, Ontario AODA, Indian RPD Act, GIGW 3.0, France RGAA, German BITV, Brazilian Inclusion law LBI 13.146/2015, Spain UNE 139803:2012, JIS X 8341, Italian Stanca Act, Switzerland DDA & more. It supports GDPR, HIPAA, CCPA, SOC Type 2, ISO 9001:2015, & ISO 27001:2022.
It supports 190+ languages. It is a cornerstone of improving web accessibility through its ease of use for companies of all sizes and with the help of paid add-ons like manual accessibility audit, remediation, PDF accessibility remediation, VPAT/ ACR, white label subscription, and live site translation, SkynetAccessibility Scanner, and video subtitle.
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Engineering teams shipping with AI have a new bottleneck: validation. Code output has accelerated. Quality hasn't. Checksum closes the gap.
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MoCA Cognition
The Montreal Cognitive Assessment (MoCA) is a concise, 30-item evaluation designed for healthcare professionals to identify cognitive deficits at an early stage, facilitating quicker diagnoses and enhanced patient management. This tool enables both healthcare providers and researchers to recognize cognitive challenges associated with various conditions, including Alzheimer's disease, Parkinson's disease, and several others such as frontotemporal dementia and brain tumors. MoCA is frequently utilized by a diverse range of practitioners, including nurses, primary care doctors, specialists, occupational therapists, and psychologists, among others. It efficiently evaluates critical cognitive functions such as short-term memory, visuospatial skills, executive functioning, attention, and language abilities, as well as orientation to time and place. The versatility of MoCA makes it an essential component of cognitive health assessments across various settings.
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SWE-2
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.
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Integrations
No Integrations at this time
Company Details
Company:
Cognigram
Headquarters:
United States
Website:
www.cognigram.us/cognigram/about
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Product Details
Platforms
Web-Based
Types of Training
Training Docs
Customer Support
Online Support
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