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, live site translation, SkynetAccessibility Scanner, video subtitle, and voice search.
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SearchUnify is an enterprise Agentic AI platform built to transform customer support through autonomous, intelligent operations. Powered by SearchUnifyFRAG™ (Federated Retrieval Augmented Generation), the SCORE framework, and Agentic RAG, the platform unifies siloed enterprise data to deliver contextually accurate, real-time responses across the support lifecycle.
Its core product suite includes Cognitive Search for AI-powered retrieval across fragmented knowledge sources, SearchUnifyGPT™ for cited generative AI answers across every support touchpoint, SUVA (Virtual Assistant) for autonomous multi-turn query resolution, Knowbler for knowledge creation and management, and Agent Helper for real-time AI assistance during case resolution.
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Creyos Health
Creyos Health is a platform that is both scientifically validated and trusted by clinicians, designed to be user-friendly for patients, integrating proprietary online tasks with electronic behavioral health questionnaires. This comprehensive, research-supported solution enables healthcare providers to identify cognitive impairments and behavioral health issues while being adaptable, engaging, precise, and eligible for reimbursement. With over three decades of scientific research backing it, Creyos has featured in more than 400 peer-reviewed studies. More than 10,000 healthcare professionals rely on Creyos to assess their patients' cognitive and behavioral health. The platform offers a collection of 12 online cognitive tasks, each requiring just 2-3 minutes to complete, specifically aimed at identifying even subtle cognitive deficits. These tasks evaluate crucial areas such as short-term memory, reasoning skills, concentration, and verbal proficiency. Additionally, the platform incorporates digitized behavioral health assessments that automatically calculate results, delivering rapid insights to healthcare providers. This efficiency allows for timely interventions that can significantly enhance patient care.
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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
Cognigram Features and Options
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