Coding & Development

BrowserPod for Node.js offers sandboxed server runtimes that operate entirely within the browser, allowing for secure execution of AI code and untrusted packages without relying on server-side compute. This innovative approach ensures that agentic code cannot escape the browser's sandbox, preventing access to local files or unauthorized network calls. Sandboxes launch instantly, eliminating cloud-based roundtrip latency and significantly cutting costs compared to traditional cloud solutions. BrowserPod supports a universal execution layer, currently with full Node.js support and upcoming compatibility for Python, Ruby, Go, and Rust. It provides an expansive dev toolchain, including npm, git, and bash, and allows for unlimited concurrent sandboxes on-device without additional cloud costs.

Arena-Hard-Auto is an automatic evaluation tool designed for instruction-tuned Large Language Models (LLMs). It offers a robust benchmark that demonstrates high correlation and separability to LMArena (Chatbot Arena) compared to other open-ended LLM benchmarks. The tool utilizes automatic judges, such as GPT-4.1 and Gemini-2.5, to provide a faster and more cost-effective approximation of human preference. It includes a new evaluation set, Arena-Hard-v2.0-Preview, featuring 500 challenging real-world queries and 250 creative writing queries. Arena-Hard-Auto also supports Style Control for evaluations and provides metrics like Separability with Confidence and Agreement with Confidence to assess benchmark quality. It integrates with various API endpoints, including OpenAI compatible servers, Anthropic, and Amazon Bedrock.

PlantoOS is an operating system specifically designed for the agentic era, where software is shifting from interfaces to autonomous agents. It provides the runtime, memory, and access controls necessary for these new systems, addressing the limitations of traditional operating systems that were not built for persistent system memory, capability boundaries for autonomous actors, or native lineage for machine decisions. Powered by Medhara, its core memory and governance substrate, PlantoOS ensures deterministic execution, governed memory, and full auditability for AI agent systems. It offers solutions like Enterprise OS for governed agent deployments, Coding Assistant for developer workflows, and various industry-specific agents for BFSI, Healthcare, and Manufacturing.

Viska Systems specializes in designing and building advanced automation and robotics solutions, primarily focusing on machine vision and AI. Their offerings include the Viskam AI-Powered Vision Solution, which runs AI models directly on cameras for diverse applications, and Visable, a robotic vision inspection system integrating machine vision, robotics, and AI for automated inspection tasks. The PUP1000 Part Verification Vision Solution is designed for rigorous quality control. Viska Systems serves industries such as medical device, electronics, semiconductor, automotive, heavy machinery, and food & beverage, providing expertise in machine vision systems, image processing, robotic automation, control system design, and deep learning/AI development. They aim to reduce inspection times and ensure quality and precision for global brands.

GEO Ready Score is a free online tool designed to help website owners and marketers assess their site's Generative Engine Optimization (GEO) readiness. It performs 16 checks to determine how well a website is optimized for AI systems such as ChatGPT, Claude, and Perplexity. The tool analyzes critical factors like AI crawler access (robots.txt, llms.txt), structured data (JSON-LD schema), and the presence of answer-ready content like FAQs. By providing instant results without requiring any signup, GEO Ready Score enables users to quickly identify areas for improvement to ensure their content is discoverable and accurately cited by large language models, complementing traditional SEO efforts.

Arthur is a comprehensive platform designed to help teams discover, govern, and innovate AI systems that perform and scale reliably. It offers a full lifecycle solution for ensuring reliable AI, making it easier and faster to ship agents, GenAI, and traditional ML applications. Key capabilities include continuous evaluation of AI performance, agent discovery and governance for comprehensive oversight, and built-in guardrails to protect applications against misuse and off-brand interactions. Arthur supports any model and use case, offering flexible deployment options including SaaS, on-prem, or directly through GCP or AWS. It also provides an Engine Toolkit for real-time monitoring and custom dashboards, trusted by enterprise AI teams to ensure success and reliability.

TestZeus revolutionizes Salesforce testing by offering an AI-powered platform that enables effortless test automation. It eliminates the need for coding and maintenance through its autonomous AI agent, which handles test generation, execution, and self-healing. The platform allows product owners and business analysts to author tests using natural language, making quality assurance accessible to non-technical users. TestZeus supports comprehensive testing, including UI, API, accessibility, security, and visual checks, all unified in a single run. It also adapts to UI changes and data, automatically healing locators and flows, significantly reducing maintenance efforts. With seamless integrations and the ability to trigger tests from various devices, TestZeus aims to achieve 100% test automation coverage for Salesforce environments.

Bench_AI is an AI-powered platform designed to automate engineering workflows, enabling faster iteration and increased R&D productivity. It integrates seamlessly with existing CAD, CAE, and PLM tools, eliminating the need for painful migrations. The platform deploys AI agents to execute design workflows, allowing engineers to focus on high-leverage tasks. Bench_AI ensures no AI hallucinations by taking context from connected sources, acting like a well-trained engineer. It offers features like autonomous optimization, geometry preparation for simulation, and STL to parametric CAD conversion, significantly reducing iteration times from days to minutes. Built for enterprise, it provides robust infrastructure, secure integrations, scalable performance, enterprise-grade security, granular roles, and data ownership control for global teams.

MyQM is an AI-powered platform designed to enhance call center operations through automatic quality assurance and conversation insights. It enables users to easily create evaluation campaigns, covering 100% of interactions with manual, hybrid, and AI-powered assistance. The tool collects insights around call reasons, customer and agent voice, presented in actionable dashboards. MyQM also offers a comprehensive learning and coaching environment to upskill agents with personalized programs based on client interactions. Key features include Auto QA for analyzing customer interactions, Auto Coaching for continuous agent support, and Action Plans to assign training and recommendations. It also provides 360° feedback, powerful Speech-to-Text with customizable transcriptions, and data visualization tools to understand every conversation and reduce compliance risks.

Strategic Systems International (SSI) is a comprehensive AI-driven tech solutions provider specializing in digital consulting, data services, advanced analytics, and artificial intelligence. They focus on blending human expertise with AI to deliver meaningful business transformation, offering solutions that feel intuitive rather than algorithmic. SSI's services span various verticals including financial services, healthcare, industrial supply chain, and IoT. They provide end-to-end capabilities from design and development to deployment, management, and maintenance of software solutions, with a strong emphasis on AI/ML, data services, mobile solutions, and cloud services. Their approach is centered on solving problems and creating opportunities by leveraging intelligent algorithms to reveal insights, predict trends, and automate decisions with remarkable accuracy. SSI also boasts an AI Center of Excellence, pioneering advancements in AI-enabled development and AI-powered QA and automation.

fore ai provides an autonomous QA agent for enterprise software, enabling fully automated software testing across web and mobile applications. It allows users to create tests in seconds using natural language or recorded steps, and then execute them at scale with CI/CD integration and real-time reporting. The tool features self-healing tests that adapt to UI and logic changes, eliminating manual fixes and maintenance. fore ai aims to deliver faster releases and significantly reduce time and effort compared to traditional QA methods, offering enterprise-grade security, flexible deployment options, and custom model fine-tuning.

FlowTestAI is the world's first GenAI-powered OpenSource Integrated Development Environment (IDE) designed for crafting, visualizing, and managing API-first workflows. This low/no-code end-to-end API testing tool leverages Generative AI to translate natural language descriptions into executable API workflows. It prioritizes privacy and security by operating locally and handling credentials securely, minimizing the risk of data exposure. FlowTestAI offers an IDE for seamless creation and collaboration, a CLI for CI/CD integration, and Analytics for identifying performance bottlenecks and failure points. It supports contextual and user-centric testing, transforming tests into visual graphical flows that serve as living documentation.

LangTest is an open-source library designed to deliver safe and effective language models by providing comprehensive testing and evaluation capabilities. It enables users to generate and execute more than 60 distinct types of tests with just one line of code, covering robustness, bias, representation, fairness, and accuracy. The tool supports popular NLP frameworks like Spark NLP, Hugging Face, and Transformers, and is capable of testing Large Language Models (LLMs) from OpenAI, Cohere, AI21, and Azure-OpenAI for various tasks including question answering, toxicity, and summarization. LangTest also facilitates automatic augmentation of training data based on test results for select models and provides a range of benchmark datasets to challenge and enhance language models.

Model Playground AI provides a comprehensive platform for comparing and evaluating a wide array of AI models. With access to over 150 models, users can test and assess different artificial intelligence capabilities, including text-to-image generation and language models, all within a single subscription. The platform emphasizes transparency with zero markup on model usage, making it an efficient solution for developers and researchers to explore and select the most suitable AI models for their projects. It simplifies the process of understanding model performance and features, fostering informed decision-making in AI development and application.

Zipy AI is a comprehensive platform designed to accelerate debugging and improve user experience for product and frontend teams. It offers AI-driven session intelligence, error tracking, and UX analytics for both web and mobile applications. Key features include Oopsie AI Agent for proactive issue detection, AI Summaries of user sessions, and Repro Steps to quickly reproduce critical bugs. The platform provides detailed session replays with DOM, console, and network logs, alongside robust error monitoring for JavaScript and API errors. Zipy AI also includes product analytics, usability issue detection with heatmaps, and performance monitoring for APIs, helping teams understand user behavior, optimize product adoption, and resolve issues efficiently.

Lark is an AI testing tool designed to streamline end-to-end testing for developers. It enables the creation of self-healing tests directly from the terminal, leveraging natural language input rather than traditional code. Built by ex-Stripe engineers, Lark integrates seamlessly with coding agents like Claude Code, Cursor, and Codex, fitting into existing developer workflows. The tool provides best-in-class testing infrastructure, ensuring tests adapt to product changes and offer reproducible results with useful debugging artifacts such as scripts, logs, screenshots, and videos. Lark's agents can test various surfaces including UIs, APIs, SDKs, and async workflows, offering full coverage. It differentiates itself from tools like Playwright by focusing on natural language for test creation and self-healing capabilities, making tests more robust and easier to maintain across frontend and backend systems.

ViewAll is a Chrome extension designed to streamline feedback workflows for teams and AI. It allows users to capture screenshots, add visual comments, and export AI-ready data with encryption. The tool captures comprehensive web context, including DOM elements, CSS selectors, console logs, and WCAG data, ensuring developers and designers have precise information. It offers a free plan with unlimited captures and AI-optimized clipboards, with all data stored locally. A Pro plan adds encrypted cloud storage, WCAG scans, a searchable dashboard, and permanent share links, making it ideal for managing multiple projects or client work. ViewAll aims to reduce back-and-forth communication by providing context-rich feedback, compatible with popular collaboration tools like Slack, Jira, and AI assistants such as ChatGPT and Claude.

Projcity is an engineering decision platform designed for Engineering Managers, CTOs, VPs, and PMs at growing software companies. It provides real-time data on developer behavior, delivery velocity, and the impact of AI coding tools like GitHub Copilot and Claude Code. The platform helps detect behavioral drift early, track AI tool ROI, and prepare for 1-on-1s with actionable insights. Projcity offers over 50 metrics covering activity, velocity, quality, and workload, alongside dynamic archetypes that evolve with work patterns. It connects with GitHub, Shortcut, and Linear, with GitLab and Jira coming soon, to unify metrics and insights across workflows. The tool is particularly valuable for understanding review bottlenecks, exploding PR sizes, comprehension debt, and quality decay in the AI era of development.

AIMon is an AI platform designed to help enterprises build, deploy, and use AI applications with trust and confidence. It offers robust data foundations, accelerating the AI journey with speed, safety, and reliability. AIMon enables continuous, real-time AI monitoring and automated guardrails for both LLMs and Agentic AI systems, with over 20 out-of-the-box and hundreds of custom evaluation metrics. It also provides always-on, end-to-end AI protection, dramatically reducing liability and compliance risk by detecting, remediating, and preventing vulnerabilities in real time. AIMon helps navigate Governance, Risk, and Compliance for Responsible AI, and manage risks associated with third-party AI vendors.

LeanMCP offers a comprehensive platform for developers to build and scale AI agents rapidly. It provides production-grade Model Context Protocol (MCP) server infrastructure, including TypeScript and Python SDKs for defining tools, resources, prompts, and authentication in a type-safe manner. The platform features a managed deployment solution with built-in OAuth, rate limiting, logs, and tracing. Its AI Gateway offers real-time observability for monitoring tool calls, latency, and debugging, supporting major LLM providers like OpenAI, Anthropic, and Google. LeanMCP also ensures enterprise-grade security with OAuth 2.0 integration, role-based access control, and encrypted credential storage, making it ideal for deploying robust and scalable AI agents.

ellamind offers an integrated platform for the full lifecycle of AI agents, focusing on evaluation, deployment, and monitoring. Its core products include elluminate for evidence-based agent evaluation with criteria-based scoring and quality gates, and ellarun for secure, compliant deployment of AI agents into production environments. The platform also features elluminate live for real-time monitoring and ellaverse for simulated testing. Designed for enterprises, ellamind emphasizes EU AI Act compliance, data sovereignty with German data centers, and model-agnostic compatibility, supporting various LLMs without vendor lock-in. It provides audit trails, technical documentation, and compliance reports for high-risk AI systems.

Moda is an AI agent observability platform designed to automatically analyze production conversations to surface user intents, agent failures, and user frustration. It goes beyond traditional monitoring by identifying behavioral failures like hallucination, context forgetting, and tool misuse that standard logs often miss. Moda automatically segments conversations by topic, clusters them into hierarchical taxonomies of user intents without manual tagging, and detects emerging patterns. It also tracks frustration signals, tracing them to root causes with actionable insights, rather than just sentiment scores. The platform offers a fully automatic, zero-configuration ML pipeline for analysis, integrating with any LLM provider via a 3-line SDK.

Scorecard is a simulation platform designed for AI agent self-improvement, allowing developers to build and test LLM applications efficiently. It facilitates running agents through thousands of realistic scenarios, providing rapid feedback and enabling quick iteration. The platform helps manage and deploy agents to production, identify real-world usage issues, and accelerate feedback loops from weeks to minutes. Scorecard offers tools to test and evaluate AI agents, map out real scenarios, and bring clarity to AI performance, ensuring predictable AI experiences that improve with every update. It also includes features for prompt versioning, experimentation, and creating trustworthy metrics.

Alumnium is an open-source AI test automation tool designed to bridge the gap between human and automated testing. It allows users to write test instructions in plain language, which Alumnium then translates into executable commands for browser interactions. Leveraging the power of large language models (LLMs), it supports popular test automation tools like Appium, Playwright, and Selenium, and works with any Python test framework, with JavaScript and Ruby support in development. Alumnium aims to empower software and QA engineers by speeding up test creation and maintenance, eliminating common testing headaches, and providing an engineer-centric approach that keeps users in control of their test logic while automating browser interactions. It integrates with various AI providers including Anthropic, Google Gemini, OpenAI, Meta Llama, DeepSeek, and Mistral.