Search results for PreProduct

Ovom Care is a pioneering fertility care provider that integrates advanced artificial intelligence (AI) with personalized reproductive health services. Established in 2023, the company aims to enhance fertility treatment outcomes by combining modern in-person care with cutting-edge AI technology. This approach not only improves success rates but also increases accessibility and reduces the emotional and financial burdens often associated with fertility treatments.

Review vital cow statistics for production, reproduction and udder health. A quick swipe reveals lifetime health, vaccination and protocol history. Display unique items like Hold Meat and Hold Milk alerts from PCDART and select items to appear on your cow or heifer screens (including genomic data). Action lists for vet check, breeding, dry off and calving are available with filters that make it simple to use, even in the largest of herds.

Fake Fast Detector flags UX patterns that simulate performance—skeleton screens that never resolve, offscreen swaps, blocked interactions, hidden paywalls, and janky lazy-loading. Point it at a URL and get a plain-English report: issues, severity, reproduction steps, and a “fake-fast” score you can track across releases. It pairs with Lighthouse/WebPageTest: Lighthouse proves lab metrics; Fake Fast proves what humans feel.

Rejoose for Products – API gives organizations instant access to detailed, up-to-date Life Cycle Assessment (LCA) and energy data for over 10 million IT products, including laptops, servers, monitors, smartphones, and more. All data is directly mapped to manufacturer part numbers (MPNs) and brand-level information, enabling precise, real-time visibility into Scope 2 and 3 carbon emissions and other environmental impacts. Aligned with GHG protocol and ISO standards, validated by 3rd parties. The API is designed for seamless integration with e-commerce platforms, procurement portals, webshops, and quoting tools, allowing resellers, marketplaces, and enterprise buyers to display or calculate environmental impact during product selection — just like price and specs.

Hello! You are welcome to the Tesvan world. Manual And Automation QA Outsourcing Service Provider. We are a team of engineers, who has a passion to test high-load, modern web apps. ✔️ Establish clear expectations of the scope and timing of all testing deliverables with the team. Define, execute, and document manual tests, test data, and test results with necessary detail ✔️ We take into our hands and lead the development and implementation of Automated Testing to further enhance your product’s growth and shorten your delivery cycles. We can help you with: ✔️ Drive a new level of quality to your products and services by hunting down and reproducing the trickiest of bugs ✔️ Take the ownership of automating and streamlining the testing process for detecting issues, facilitating you to scale your products and features efficiently without sacrificing quality Partnership benefits: ✔️A dedicated team with extensive domain knowledge ✔️ Faster release cycles with test automation ✔️ Effective communication with quick turn-around time ✔️ Deep knowledge of different user scenarios ✔️ UX testing What tools do we use: ✔️ Test management - TestRail, Jira, Zephyr ✔️ Test automation - Cypress (JS, Typescript), CodeceptJS (Playwright, webdriver.io), Selenium (Java, JS, Python bingings), Mocha, Chai, Jasmine ✔️ Mobile testing - Appium, Browserstack, Flutter ✔️ Performance testing - JMeter, BlazeMeter ✔️ BDD - Cucumber, Gherkin, Behave ✔️ API testing - Postman, Rest Assured (Java) ✔️ VCS - GitHub, bitbucket ✔️ DBs - RDBMS, no-SQL (mongo) ✔️ OS - Linux (Ubuntu, Debian, Centos), Mac, Windows We're looking forward to bringing a passion for quality to the entire organization we work with. To ask any related questions, please text us to get a free consultation.

HAIEC "Human AI Evidence Company" is an AI governance, security and compliance platform built for organizations that need to prove how their AI systems are controlled, tested and documented. The platform helps teams identify AI exposure across source code, system architecture and runtime behavior. Its capabilities include static AI security analysis, adversarial endpoint testing, bias-risk indicators, governance assessments, evidence collection and generation of reproducible compliance artifacts. HAIEC’s core differentiator is its deterministic approach. Instead of relying solely on one probabilistic AI system to judge another, HAIEC produces traceable and repeatable findings tied to defined rules, technical evidence and regulatory requirements. Outputs can include timestamped records, cryptographic hashes, gap analyses, control mappings and evidence packages. HAIEC supports governance work associated with frameworks and requirements such as the NIST AI Risk Management Framework, EU AI Act, NYC Local Law 144, Colorado AI requirements, SOC 2, ISO standards, GDPR and HIPAA, depending on the selected assessment and organizational context. Technical teams can use HAIEC to detect risks such as prompt injection, missing authorization, unsafe tool access, data exposure, RAG poisoning and tenant-isolation failures. Compliance and executive teams can use the resulting evidence to evaluate exposure, assign remediation work and prepare for customer reviews, audits and regulatory inquiries. HAIEC does not merely provide a generic compliance checklist. It connects governance requirements to system evidence so organizations can move from unsupported compliance claims to documented, defensible AI controls. Core Differentiators • Deterministic and reproducible AI-system assessments • “No AI testing AI” methodology • Evidence tied to specific technical findings • Static source-code and configuration analysis • Runtime adversarial testing • Signed and timestamped evidence artifacts • Regulatory and control-framework mapping • Developer-first GitHub and CI/CD workflows • Combined AI security, governance and documentation • Self-service platform with managed assurance options Technical outputs for developers and executive outputs for decision-makers

BugBrain is an AI-powered quality assurance (QA) platform that tests web applications autonomously. Instead of writing and maintaining brittle test scripts, teams point BugBrain at their app and AI agents explore it like a real user — logging in, navigating flows, and surfacing bugs that human testers and scripted suites miss. Every finding is verified and reported with evidence (root cause, severity, reproduction steps, and screenshots) and an honest PASS / FAIL / INCONCLUSIVE verdict, so engineers review real issues instead of a wall of false positives.

Autonomous Testing is an autonomous penetration test for mobile applications, web applications, internal network, and external network, that identifies vulnerabilities and misconfigurations with repeatable, on-demand, or scheduled runs. It is designed to deliver tenfold performance versus a traditional manual penetration test by identifying complex vulnerabilities, escalating misconfigurations, sophisticated exploit chains that mimic a persistent adversary, and producing developer-ready findings with clear reproduction steps and remediation guidance. Enables security and engineering teams to validate releases faster, reduce regression risk, and maintain a consistent security baseline across app versions and environments.

MocDoc's IVF Management Software provides fertility clinics and hospitals with a robust, integrated platform that streamlines the complex workflows associated with Assisted Reproductive Technology (ART). From patient registration to discharge, the software ensures seamless data flow across all stages of fertility treatments, including IVF and IUI procedures. Key features include mobile-enabled modules for real-time updates, versatile billing workflows tailored to ART practices, and a user-friendly interface that reduces errors and boosts productivity. Additionally, the software offers real-time inventory management and customizable features to meet the unique needs of each practice, ultimately enhancing operational efficiency and patient care.

Novee is an AI penetration testing platform that conducts continuous, black-box testing starting with zero knowledge — no agents, integrations, or source code access required. Its purpose-trained AI models reason about target environments the way real attackers do, uncovering novel vulnerabilities, business logic flaws, and chained attack paths that signature-based tools miss. Every finding is validated with reproduction steps and paired with personalized remediation guidance tailored to the specific architecture and tech stack, followed by automatic retest verification to confirm fixes hold. The platform is built for security teams that need to reduce real risk continuously, not just at fixed assessment intervals.

Nebula by BreachLine Labs is a fully autonomous AI security engineer that works for you. It tests web apps, APIs, mobile, cloud and Kubernetes, internal networks and Active Directory, and AI and LLM systems. It proves impact with working exploits, explains the fix and retests it. Teams can reach Nebula by call or email, and it can present its findings as slides in a live video meeting. Findings are mapped to OWASP and MITRE ATT&CK and scored with CVSS, with evidence and reproduction steps. Plans start from £399 per month; Enterprise is £199 per seat per month (minimum five seats), credits billed separately. Headquartered in London, working with teams worldwide.

impl / flow is a behavioral testing platform that uses AI-powered synthetic users to stress-test applications. The software identifies security vulnerabilities, reliability issues, and user experience problems by simulating real user behavior and attack patterns. Custom AI agents focus on workflows such as authentication and payment systems, mimicking real interactions to uncover weaknesses. The platform provides findings with severity levels, reproduction paths, business risk explanations, and remediation suggestions. It prioritizes critical vulnerabilities and medium-severity issues such as UX friction. impl / flow accesses only standard user interfaces and APIs, with test credentials deleted after audits. The service offers both human-led audits and automated testing options.

ARA (Agent-Native Research Artifacts) is an innovative framework designed to transform traditional scientific papers into machine-executable knowledge packages. By restructuring research outputs into four interlocking layers—cognitive, physical, exploration, and evidence—ARA captures the complete research process, including hypotheses, experiments, results, and even failed attempts. This comprehensive approach ensures that all aspects of research are preserved and accessible for both human and AI agents. Key Features and Functionality: - Cognitive Layer: Documents falsifiable claims, formal concept definitions, and declarative experiment plans, providing a clear understanding of the research objectives and methodologies. - Physical Layer: Contains the core algorithm code, configuration files with annotated search ranges, and exact reproducibility specifications, facilitating precise replication of experiments. - Exploration Graph: Maps the full branching research process, including all attempted paths, dead ends, and pivotal decisions, offering insights into the research journey. - Evidence Layer: Compiles machine-readable quantitative outputs, raw experiment logs, and training curves, ensuring comprehensive documentation of results. - Live Research Manager: Silently captures the research trajectory during AI-human collaboration, automatically building the artifact in the background without interrupting the research flow. Primary Value and Problem Solved: ARA addresses the limitations of traditional scientific documentation by preserving the complete research process, including unsuccessful attempts and decision-making pathways. This holistic documentation enhances reproducibility, transparency, and collaboration in scientific research. By providing a structured and machine-readable format, ARA enables AI agents to understand, reproduce, and extend research, thereby accelerating scientific discovery and innovation.

Penetration Test helps organizations identify and remediate exploitable security vulnerabilities before attackers can take advantage of them. Every assessment is performed manually by OSCP-certified engineers using industry-recognized methodologies including OWASP Testing Guide and SANS/CWE frameworks, going beyond automated vulnerability scanning to uncover real-world attack paths. The final report includes: detailed technical findings, proof of exploitation, reproduction steps, supporting evidence, CVSS severity ratings, business impact, and prioritized remediation recommendations. Each report is signed by the OSCP-certified engineer who performed the assessment. The deliverables are designed to support security and compliance initiatives, including SOC 2, ISO 27001, and HIPAA, and include an auditor-ready penetration testing report, an attestation letter, and an executive summary. Every engagement also includes a complimentary remediation retest.

Quartz Studio is a local-first Windows desktop application that helps teams create clean visual documentation from real desktop actions. It is useful for support guides, QA reports, bug reproduction steps, incident evidence, standard operating procedures, onboarding material and training documentation. The workflow is focused and practical: capture actions, review screenshots, annotate important areas, blur sensitive information, extract text using local Windows OCR and export the final document as HTML, PDF or DOCX. Quartz Studio is not a cloud knowledge base, not a helpdesk replacement and not a screen recorder. It is a dedicated documentation workflow for people who need to turn real Windows work into clear, shareable documents. The app is available on the Microsoft Store as a one-time purchase with a lifetime license.

UI zap is a developer-first bug reporting and session capture tool for modern web apps. With a single click, anyone on your team—QA, support, product, or beta users—can submit a rich, reproducible report: lightweight screen recording (GIF/video), DOM replay, console and network logs, and precise environment metadata (URL, browser/OS, viewport, feature flags, app version, and more). Each report shares as a secure link and flows directly into tools your team already uses (Jira, Linear, GitHub Issues, Slack) so engineers can reproduce and fix issues faster with less back-and-forth. Built for speed and privacy, uizap uses an edge-first architecture to keep capture and playback fast worldwide while supporting sensible retention and light PII scrubbing. The result: cleaner tickets, accelerated triage, fewer duplicate bugs, and shorter mean time to resolution—especially in stateful single-page apps where issues are hard to recreate.

TESAF is professional-grade ECU testing software for vehicle network validation, available as a cross-platform desktop application for Windows, Linux, and macOS. It integrates CAN bus analysis, diagnostics, hardware-in-the-loop simulation, and Python-based test automation, supporting protocols like CAN, CAN-FD, LIN, FlexRay, Ethernet, DoIP, UDS, OBD-II, J1939, SOME-IP, and XCP. TESAF decodes DBC, ARXML, LDF, and FIBEX files without extra licenses. TESAF processes over ten thousand frames per second per channel with sub-millisecond latency using a lock-free, zero-copy architecture. Its Python engine enables scripting, signal monitoring, and regression testing. Hardware-in-the-loop features include nanosecond timestamps, TIMESYNC protocol, multi-channel injection, and fault simulation. Manual tools offer trace views, signal alerts, and UDS diagnostics. Log replay supports BLF, MF4, and JSON formats for regression testing and fault reproduction.

Coview is an innovative customer support platform designed to enhance user experience by providing real-time, visual communication tools. It enables support teams to connect directly with customers' browsers, facilitating efficient issue resolution without the need for downloads or installations. By allowing customers to share screenshots, record their screens, and engage in live co-browsing sessions, Coview streamlines the support process, reduces frustration, and improves overall satisfaction. Additionally, it offers automatic browser health checks and code-level data logging, empowering support and development teams to diagnose and resolve technical issues swiftly. Key Features and Functionality: - Screenshots and Annotations: Customers can capture their entire browser page, highlight specific areas, add notes, and conceal sensitive information before sharing. - Screen Recording: Users can record their interactions to demonstrate issues, capturing every action and transition without requiring software installations. - Co-Browsing: Support agents can initiate live, one-click screen-sharing sessions to guide customers directly on their own screens, enhancing onboarding and troubleshooting experiences. - Automatic Browser Health Checks: Coview performs real-time assessments of browser compatibility, cache status, and site loading performance to identify potential issues proactively. - Error Reporting and Debugging: The platform logs code-level data and network activity, allowing developers to replay customer sessions, inspect code, and resolve bugs without reproducing errors. - Integration with External Tools: Seamless integration with platforms like Intercom, Jira, and Asana enables efficient ticket creation and management directly from customer interactions. Primary Value and Problem Solved: Coview addresses the common challenges in customer support by eliminating the need for customers to articulate complex issues verbally. By providing visual tools such as screenshots, screen recordings, and live co-browsing, it allows customers to demonstrate problems directly, leading to faster and more accurate resolutions. This approach not only enhances customer satisfaction but also boosts support team productivity by reducing the time spent diagnosing issues. Furthermore, Coview's automatic health checks and detailed error reporting equip development teams with the necessary insights to address technical problems efficiently, ultimately improving the overall quality and reliability of web applications.

MOTOR Ai is a Berlin-based company specializing in Level 4 autonomous driving technology, emphasizing safety, explainability, and compliance with European regulations. Founded in 2017, MOTOR Ai has developed an autonomous driving system grounded in cognitive neuroscience and German research, enabling vehicles to make transparent and reproducible decisions in complex traffic scenarios. This approach ensures that the system can be certified according to the highest industry standards, facilitating its integration into public transport networks and enhancing mobility in both urban and rural areas. Key Features and Functionality: - Comprehensive Sensor Suite: Utilizes a full sensor stack, including LIDAR, radar, cameras, microphones, GPS, and ultrasound, to accurately perceive the vehicle's environment. - Sensor Fusion: Combines data from multiple sensors to create a precise 3D representation of the surroundings, forming the basis for reliable scene understanding. - Cognitive Decision-Making: Employs decision-making processes inspired by human cognition, allowing the system to adapt to new situations without extensive pre-training. - Explainability and Reproducibility: Ensures that all decisions made by the autonomous driver are transparent and can be consistently reproduced, addressing regulatory requirements for traceability. - Certifiability: Designed to meet stringent European and international safety standards, including UNECE regulations, ISO 26262 (ASIL-D), and the EU AI Act. Primary Value and User Solutions: MOTOR Ai addresses the critical need for safe and reliable autonomous driving solutions that comply with European legal and safety standards. By focusing on explainable and certifiable AI, the company provides a trustworthy foundation for integrating autonomous vehicles into public transport systems. This integration aims to enhance mobility, particularly in underserved rural areas, by offering efficient and sustainable transportation options. Additionally, MOTOR Ai's technology contributes to reducing traffic congestion and promoting safer road conditions, ultimately supporting a more connected and accessible transportation network for all users.

Independent Practice Intelligence (IPI) is a B2B business-intelligence platform from Markasa Health designed for independent OB/GYN, gynecology, and fertility and reproductive-medicine practices. IPI helps practice owners and administrators turn aggregate business information into a structured view of financial performance, operations, revenue-cycle conditions, payer mix, risk and opportunity, period-over-period changes, and selected public market context. It helps leadership understand how the practice is performing, what changed, and which conditions deserve attention or continued monitoring. Calculations, findings, and statuses are produced through deterministic analytical rules. AI is used only afterward to summarize and interpret existing results; it does not calculate or determine findings, statuses, or analytical results. IPI includes management dashboards, Practice Pulse comparisons, an AI-assisted IPI Brief, and branded PDF and Excel reports. It is designed exclusively for practice-level business information and does not require patient records or protected health information. IPI is not an EHR, accounting system, billing service, or patient-analytics platform.