Search results for Statamic

Cognaire Respond is an AI-native platform for automating RFPs, RFIs, security questionnaires, and other enterprise questionnaires using governed company documents. Respond generates answers directly from approved source material rather than relying on static Q&A libraries. It uses a structured retrieval-augmented generation (RAG) architecture to ensure responses are accurate, consistent, auditable, and aligned with organisational standards. Teams can collaborate across large question sets, track completeness and risk per question, and manage review and approval workflows across sales, proposal, security, and subject matter experts. The platform provides real-time visibility into progress, workload, and risk through analytics dashboards, helping teams prioritise effort and reduce response time without sacrificing quality. Cognaire Respond is designed for organisations that handle frequent questionnaires and require strong governance, security controls, and enterprise-grade scalability.

zzvidy is an AI video generation platform that transforms static images or text into cinematic HD videos. The software integrates multiple AI models, including Kling 3.0, Seedance 2.0, Hailuo 2.3, HappyHorse 1.1, and Wan 2.7, through a single interface. Users can animate photos, artwork, or product shots, or generate videos from written descriptions. Videos export in watermark-free HD at resolutions up to 1080p, with support for aspect ratios such as 9:16, 16:9, and 1:1. Pre-built templates enable creation of product advertisements, portrait animations, comic-to-video conversions, and cinematic camera effects. The platform operates on a unified credit system that provides access across all available models. Failed renders automatically refund credits to the account. Users receive full commercial rights to all generated content, allowing monetization across platforms.

HTMLy is a hosting platform for static HTML websites, built for the AI era: paste HTML generated by any AI assistant, upload files, or send a ZIP archive, and your site is live on its own URL in seconds — no build steps, no Git, no server configuration. Every site gets free HTTPS, a global CDN, clean URLs, and built-in server-side analytics that comply with Brazil's LGPD data protection law (no third-party cookies). SEO essentials such as meta tags, Open Graph data, canonical URLs, and XML sitemaps are handled automatically. An inline code and visual editor lets you edit right in the browser. Paid plans add custom domains with automatic SSL, password protection, and a REST API plus MCP integration for publishing directly from AI agents. Pricing in Brazilian reais with PIX and card payments; interface available in Portuguese and English.

MrGripper is grip strength tracking software for hand and forearm training across Apple devices. It focuses on grip-specific exercises, allowing users to log sets for each hand separately or together to identify strength imbalances. A dynamometer grip test records measurements from any hand dynamometer without proprietary hardware, ensuring compatibility. The software calculates a left-right symmetry score and tracks personal records for exercises, equipment, load, and hand. Features include a timer for static holds, weekly insights on consistency and volume, and customizable workout templates. It supports gripper training, climbing, grappling, calisthenics, heavy pulls, and rehabilitation. MrGripper operates offline and runs on iPhone, iPad, Mac with Apple Silicon, and Apple Vision Pro. The interface is available in English, German, Russian, and Spanish, with anonymized user data adhering to App Store privacy standards.

QRBliss is a QR code generator that creates branded codes by extracting color palettes from uploaded logos and applying them to designs while ensuring scan reliability. The AI-powered Brand Sync system analyzes logo colors and applies them to codes within two seconds, removing the need for manual adjustments. The free tier offers fifteen dynamic codes with editable URLs, unlimited scans, and no expiration, plus unlimited static codes. Export formats include PNG, SVG, JPG, and print-ready PDFs with proper bleed and quiet zones. Dynamic codes feature smart redirects for device-specific or time-based routing. QRBliss prioritizes privacy with hashed IP tracking, no cookies, and opt-in analytics, ensuring no data resale. No account is required, and codes are watermark-free. Additional features include fourteen QR types, thirty-six templates, and customizable designs with automatic contrast verification for scannability.

Lektify is a no-code platform for creators, coaches, trainers and infopreneurs who want to replace static PDFs with interactive ebooks called Lekty'Books. In one editor, they combine rich text, images, video, audio narration (including their own cloned voice) and quizzes in the same chapter. Readers get Lekty, an AI tutor that answers questions about the passage they are reading, plus comfort settings such as a dyslexia-friendly font and night mode. Creators sell through their own Stripe account (one-time purchase, subscription or free) with promo codes, bundles and free trials, follow revenue and readers in a dashboard, and turn their books into reels, carousels and posts with an AI marketing agent. Available in English, French, Spanish and German, hosted in Europe. Free plan with a 15% commission per sale; paid plans lower it to 5% or 2%.

Travon AI is a comprehensive voice AI platform designed to automate and enhance enterprise communication through human-like, multilingual voice agents. These agents are capable of handling both inbound and outbound calls, understanding intent, and executing predefined workflows across various industries, including sales, customer support, education, healthcare, logistics, and citizen services. Key Features and Functionality: - Multilingual Voice Intelligence: Supports over 20 languages, enabling seamless communication with a diverse customer base. - Automated Call Handling: Manages high volumes of calls, performing tasks such as lead qualification, event reminders, and customer support without human intervention. - Predefined Workflows: Utilizes state-machine workflows to guide conversations through deterministic checkpoints, ensuring compliance and consistency in data collection and action execution. - Multi-Agent Framework: Employs a team of specialized AI agents, each focusing on specific domains like payments, account access, product workflows, and integrations, coordinated by a central AI to provide expert responses efficiently. - Simulation Testing: Implements a Champion vs. Challenger framework to stress-test AI agents against predefined edge-case scenarios, identifying and addressing potential failures before deployment. Primary Value and Solutions Provided: Travon AI addresses the challenges of managing large-scale, multilingual customer interactions by automating routine and complex call processes. This automation leads to increased operational efficiency, reduced response times, and enhanced customer satisfaction. By integrating intelligent routing, compliance monitoring, and real-time simulation testing, Travon AI ensures reliable and context-aware communication, allowing human agents to focus on more critical tasks and strategic initiatives.

Dam Secure is an AI-native application security platform for teams that build software with AI coding agents. It enforces security rules across the development lifecycle, including agentic planning, the local development environment, and CI/CD, before code ships to production. The platform reviews an organization's existing codebase and generates security rules in plain English, tailored to that codebase's own patterns rather than generic policy. These rules are enforced across every developer, AI agent, and repository. At the planning stage, Dam Secure reviews plans co-authored by developers and AI agents. In the dev environment, it checks AI-generated code before it's committed. In CI/CD, it checks pull and merge requests before they reach production. Dam Secure is built to catch business logic flaws in AI-generated code that traditional tools miss, using codebase context to reduce false positives. It integrates with common AI coding tools (including Cursor, Claude Code, and GitHub Copilot) and version control platforms (Bitbucket, GitHub, GitLab), and keeps a persistent record of security context across the workflow.

Teamscale supports your team to analyze, monitor, and improve the quality of your code.

For over 30 years, Wind River Diab Compiler has been helping developers create safety-critical applications in the automotive, industrial, medical, and aerospace industries. Diab Compiler can help software teams boost application performance, reduce memory footprint, and produce high-quality, standards-compliant object code for embedded systems.

A platform to create highly detailed database documentation and perform comprehensive security audits.

Code Llama has the potential to make workflows faster and more efficient for current developers and lower the barrier to entry for people who are learning to code. Code Llama has the potential to be used as a productivity and educational tool to help programmers write more robust, well-documented software.

Omnext helps both managers and software developers gain insight in their applications technical quality and risks.

Moose is a platform for software and data analysis. It helps programmers craft custom analyses cheaply. It's based on Pharo and it's open source under BSD/MIT. Install

Smarter way to manage software development

Metabob is an AI-assisted tool used to debug and visualize Python code. Using a combination of conventional status analysis, attention-based models, and a 360-degree Visualizer, Metabob is able to detect where problems are, how they interact with other aspects of your codebase, as well as offer plain-text recommendations on how to fix them. Metabob’s model is written on open source code from python developers across the globe, creating a dynamic, uniquely intuitive base to help identify where problems will likely occur. Schedule a demo or install us on GitHub, GitLab, and BitBucket!

CodePorting is a comprehensive service designed to facilitate the automatic translation of source code between programming languages, enabling developers to extend their products across multiple platforms with minimal manual effort. By leveraging advanced translation technologies, CodePorting ensures accurate and efficient conversion of codebases, allowing for seamless adaptation to different programming environments. Key Features and Functionality: - C# to C++ Translation: Effortlessly convert enterprise-level C# libraries or applications into native C++ counterparts, ensuring compatibility across Linux, macOS, and Windows platforms. - C# to Java Translation: Translate C# projects into Java with minimal manual intervention, utilizing the CodePorting.Translator Java Class Library to maintain compatibility with existing C# code structures. - C# to Python Wrapping: Create Python Wheel packages from .NET assemblies or NuGet packages, enabling the integration of C# libraries into Python projects across various operating systems. - AI Code Converter for Projects: Implement fully automated source code translation solutions, allowing for continuous product releases across different technical stacks and CPU architectures. Primary Value and Problem Solved: CodePorting addresses the challenge of adapting software products to multiple programming languages and platforms, which traditionally requires significant time and resources. By automating the code translation process, CodePorting reduces development costs, accelerates time-to-market, and ensures consistency and accuracy in code conversion. This empowers developers to focus on innovation and functionality, rather than the complexities of manual code migration.

Debugcode effortlessly debugs your code with state-of-the-art AI-powered tools, simplifying the troubleshooting process.

Software Quality Monitoring for Managers & Team Leads

Semgrep Supply Chain is a software composition analysis (SCA) tool designed to identify and remediate security vulnerabilities introduced by open-source dependencies within your codebase. By leveraging high-signal rules and reachability analysis, it effectively filters out false positives, allowing development teams to focus on the most critical and actionable issues.