4.8 out of 5 stars
(41 Ratings)
It is an AI accessibility widget to enable websites to be accessible among people with hearing or vision & motor impaired, color blind, dyslexia, cognitive & learning impairments, seizure & epileptic, ADHD, elderly, & Parkinson. It installs in just 2 minutes. It reduces the risk of time-consuming accessibility lawsuits by improving accessibility compliance for the standards WCAG 2.1, 2.2, ADA, Section 508, European EAA EN 301 549, ACA, California Unruh, Israeli Standard 5568, Australian DDA, UK Equality Act, 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, & more.
It supports 190+ languages, available with over 90 features, and paid add-ons like manual accessibility audit, remediation, PDF document remediation, VPAT / ACR, scanning and monitoring, video subtitle, and voice search for any businesses. It supports GDPR, HIPAA, CCPA, SOC Type 2, ISO 9001:2015, & ISO 27001:2022.
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4.5 out of 5 stars
(150 Ratings)
SearchUnify is an enterprise Agentic AI platform that unifies enterprise knowledge and powers autonomous AI agents across the customer support lifecycle. Built on SearchUnifyFRAG™ (Federated Retrieval Augmented Generation) and Agentic RAG, it delivers contextually accurate, real-time responses across self-service, agent-assisted, and automated support workflows.
Its product suite includes Cognitive Search, SearchUnifyGPT™, SUVA (Virtual Assistant), Knowbler, and Agent Helper. The Agentic AI Suite deploys eight specialized AI Agents handling case resolution, case classification, escalation management, knowledge management, case quality auditing, and L2 technical workflow automation.
SearchUnify supports BYOLLM, enabling LLM flexibility without vendor lock-in, and uses Model Context Protocol (MCP) for secure enterprise integrations. A built-in governance layer provides role-based access control, PII masking, and compliance with ISO 27001, HIPAA, and SOC 2.
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SWE-2
5.0 out of 5 stars
(1 Rating)
SWE-2 is Cognition’s advanced coding model designed to improve software engineering performance while reducing the cost of agentic coding workflows. The model is post-trained from Kimi K3 and uses reinforcement learning to optimize multiple reasoning-effort levels within a single training run. SWE-2 is designed to explore codebases more selectively, begin implementation sooner, and complete tasks with fewer redundant reads and reasoning steps than earlier Cognition models. Its capabilities include code generation, debugging, test creation, verification, repository analysis, and complex terminal-based software engineering tasks. The model also emphasizes stronger engineering judgment, end-to-end test coverage, instruction following, and evidence-based verification of user assumptions. SWE-2 is available through Devin Desktop and Devin CLI, with broader rollout planned across Devin Web and Fusion.
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