CoachIQ offers sports coaches a comprehensive platform to manage scheduling, payments, client communication, and session tracking with ease. Beyond these core features, it provides video analysis and media sharing capabilities that let coaches upload athlete clips, add notes or voiceover feedback, and share libraries of drills or game footage for athlete learning. With tools to enhance both in-person and virtual coaching, CoachIQ helps coaches grow their business and deepen engagement. Trusted by top coaches, it simplifies daily operations and supports scaling with professional features.
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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.
Top features of the All in One Accessibility:
- AI Screen Reader
- Accessibility statement
- Accessibility interface for UI design fixes
- Free Accessibility Statement Generator
- Voice Navigation
- Talk & Type
- Libras (Brazilian Portuguese) Sign Language
- Dashboard Automatic accessibility score
- AI based Image Alternative Text remediation
- AI based Text to Speech Screen Reader
- Select Screen Reader Voice
- Auto-detect language
- Keyboard navigation adjustments
- Content, Color, Contrast, Orientation Adjustments
- Custom widget color, position, icon size, type
- Dedicated support
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HappyNeuron
HappyNeuron is an innovative digital tool for cognitive therapy aimed at assisting healthcare professionals in delivering cognitive rehabilitation, stimulation, and remediation. It features an expanding library of 45 customizable exercises that focus on a range of cognitive functions such as executive function, memory, language skills, attention, visual-spatial capabilities, processing speed, and auditory processing. These exercises can be tailored to meet the specific challenges faced by each individual patient. Clinicians can also access printable worksheets, which help to supplement therapy with evidence-based resources. Furthermore, the HappyNeuron Pro version includes features for automatic tracking and reporting of patient progress, streamlining the process for healthcare providers to assess improvements. Notably, the platform accommodates multiple languages, making it accessible for patients to receive treatment in their preferred language. Clinicians have the ability to assign home exercises to patients, thereby increasing the frequency and intensity of therapeutic activities, which may lead to better cognitive health outcomes and overall patient engagement. In doing so, HappyNeuron not only enhances the quality of therapy but also empowers patients to take an active role in their cognitive rehabilitation journey.
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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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