Search results for Performance Samples

Bringing both strategy and execution, Concentrix brings a holistic approach to customer engagement and deploy capabilities and assets to enable improved revenue generation, customer experience and service optimization.

Génération automatique de rendez-vous B2B en 3 clics et suivies de la prospection.

Botree SFA is the industry-leading sales force automation software designed to improve overall revenue and sales operations efficiency for brands across industries like FMCG, consumer durables, and OTC pharma.

An AI platform to build high-performing teams and improve revenue growth via an integrated sales rep assessment, coaching, sales playbooks and sales rep enablement platform

AhnLab DPX is an industry-leading DDoS mitigation solution designed to address DDoS attacks. Built on our dedicated DDoS mitigation technology, AhnLab DPX delivers advanced traffic analysis and multiple detection techniques. Why AhnLab DPX • Full-Scale DDoS Detection & Prevention Threat actors employ various techniques for successful DDoS campaigns. By leveraging a pioneering 100G NIC for large-scale attack defense and an advanced response system, AhnLab DPX effectively counters DDoS attacks of different types, from low to high-volume attacks. • Verified Performance AhnLab DPX has qualified for the Common Criteria (CC) certification, Good Software (GS) certification, and Information Security Product Performance Evaluation. The product outperforms its peers in multiple aspects, such as performance and user convenience, and sets the highest standard for DDoS mitigation. Key Features • Deep Packet Inspection AhnLab DPX conducts a full-scale network packet inspection to combat DDoS attacks in real-time. Its detection speed and precision are unparalleled by other solutions that primarily leverage network packet sampling methods. • Threshold-Based Rules for Each Protocol AhnLab DPX sets an individual threshold for various protocol elements for laser-accurate detection of DDoS attacks. Over 60 threshold-based rules drive an accelerated response to one of the most sophisticated and formidable attacks. • TCP/HTTP Authentication By considering the characteristics of TCP and HTTP protocols, AhnLab DPX can distinguish whether the inbound traffic was generated by legitimate users or bots attempting to overload servers with excessive traffic. • Zone Settings AhnLab DPX can create a virtual space called a “zone” by logically separating servers for protection. Users can configure up to 300 zones and ensure optimal protection for multiple servers via individual policy configuration and monitoring. • Self-Learn AhnLab DPX performs the traffic learning to set a threshold baseline for laser-accurate DDoS detection. The self-learning process contributes to understanding the traffic pattern within each zone and determining the exact threshold value. • Inline/Out-of-path Deployment AhnLab DPX supports both “inline” and “out-of-path” deployment methods aligned with different security requirements of customers. The flexible options enable the optimal deployment and operation of DDoS solutions.

Compass by Chordia is a conversation intelligence solution that helps customer-facing teams evaluate and act on evidence from customer conversations at full scale. It connects to existing CCaaS, CRM, help desk, video conferencing, and VoIP systems including Five9, HubSpot, Nextiva, NiCE, Salesforce, Zoom, Microsoft Teams, Google Meet, RingCentral, and more. It analyzes 100% of customer interactions across more than 80 languages, evaluating human and AI agents against the same criteria. Built for compliance, customer experience (CX), and revenue organizations that need every interaction reviewed rather than a sample, including sales, customer success, support, and contact center teams across regulated and high-volume customer interaction industries. Compass typically deploys within a day, not months, with prebuilt connectors and no custom data pipelines required. Key capabilities include: • Difficulty-adjusted performance scoring. An agent-lift model calculates the outcome expected for each interaction based on its type and difficulty, then measures what the agent added rather than what the call handed them. A person handling a hard call isn't penalized and one handling an easy call isn't given undue credit. The same standard applies whether the team is in-house or outsourced (BPO). • Compliance checks that account for timing, not just wording. Every conversation, not a sample, is checked for required disclosures and prohibited language, including whether a required statement was made at the right point in the interaction. • Natural-language search with consistent, evidence-based answers. Users can ask questions about conversation data in plain language and get an answer that points back to the specific moment in the interaction. Asking the same question twice returns the same answer, with no exporting data or writing queries required. • Coaching tied to a specific moment, not a generic tip. Coaching recommendations reference the exact point in a conversation that prompted them, rather than a standard playbook applied to everyone, and can be tracked per agent over time. • Surfaces what you didn't know to look for and keeps tracking it. Issues are prioritized by business impact and tracked against resolution status over time, so a finding doesn't quietly disappear into a report no one revisits. Customer data is not used to train models across customers. Compass provides role-based access with a full audit trail.

AI Prompt Generator is a powerful tool designed to transform your basic ideas into professional-grade prompts, enhancing the performance of various AI models. By automating the prompt engineering process, it simplifies interactions with AI platforms like ChatGPT, Claude, Midjourney, DALL·E, and more, ensuring precise and high-quality outputs. Key Features and Functionality: - Optimized Prompt Generation: Automatically refines user inputs into detailed, effective prompts that elicit superior responses from AI models. - Multi-Model Compatibility: Supports a wide range of AI platforms, including large language models and image/video generators. - Flexible Prompt Customization: Allows users to tailor prompts to achieve specific tones, styles, or types of responses without complex settings. - Integrated Prompt Libraries & Examples: Provides access to a rich library of pre-built prompts and examples across various categories, serving as a resource for learning best practices in AI prompt engineering. - Intuitive User Interface: Features a clean, user-friendly interface that simplifies the prompt creation process for users of all skill levels. - Workflow Enhancements & Tools: Includes tools like prompt checkers, history tracking, and the ability to save favorite prompts for future use, streamlining creative and productive workflows. Primary Value and User Solutions: AI Prompt Generator addresses the challenge of crafting effective prompts for AI models, a task that can be time-consuming and require specialized knowledge. By automating and optimizing this process, it saves users time, reduces frustration, and unlocks the full potential of AI technology for content creation, problem-solving, and creative projects. Whether you're a beginner or an experienced AI user, AI Prompt Generator empowers you to achieve better results with less effort.

Teemly is an assessment operations platform built in India for schools, colleges and coaching centres. Institutions already collect enough data about their students to answer the questions that matter. Almost none of them can get to it - results sit in separate spreadsheets, paper tests never reach the same record as online ones, and a final mark says a student did badly without saying why. Teemly closes that gap. Teachers keep coding, MCQ and written questions in a shared library tagged by subject, topic and difficulty, and assemble papers from it. Tests run in the browser with a real code editor, sample and hidden test cases, timers and attempt rules; objective and coding answers are evaluated automatically, and written answers move into a grading queue rather than a teacher's inbox. Integrity events such as tab switches and clipboard activity are recorded for a named teacher to review, not acted on automatically. Paper tests are part of the same system. Print a paper and its answer key from the question bank, enter the marks afterwards, and they land in the same student record - with absences kept distinct from a score of zero. Reporting is the point. Performance breaks down by class, subject, topic and question type, across assessments and across terms, so an institution can see which topics a batch keeps failing, which classes sit below the overall average, and what needs attention next.

ChannelAssist powers your Sales Incentive, Channel Partner Loyalty, Employee Engagement and Gamification programs, build loyalty and results

Project Helium is a Java (JDK 24) microservice foundation designed to help teams move faster without compromising on quality. Whether you're launching a new product or modernizing legacy systems. It comes with modular integrations built for real-world backend systems—from environment configs and multi-tenant auth to observability and deployment pipelines. Features like TLS/mTLS, SSO, multi-OIDC provider support, and OpenTelemetry are included out of the box, making it easier to get production-ready infrastructure up and running quickly. It also supports LLM-based use cases through integration with LangChain4j, enabling teams to build AI-assisted features natively within Helidon services. Built on established patterns like Domain-Driven Design (DDD) and Hexagonal Architecture, it offers ready-to-use examples and a consistent layout that accelerate onboarding and promote long-term maintainability. Powered by Oracle Helidon SE 4—formerly Helidon Nima—Project Helium delivers unmatched performance, efficiency, and security through its lightweight runtime and virtual threads support.

DeepLabel provides clinical AI evaluation and data services for companies building healthcare AI. Specialist clinicians, matched to each project's specialty and supported by PhD data scientists, help teams build clinically reviewed datasets, evaluate model performance and find the errors that matter. Services cover medical data annotation and labeling, including ground truth datasets with independent review and senior adjudication; medical imaging annotation across radiology, ophthalmology, pathology, dermatology and endoscopy; psychiatric and mental health data labeling by psychiatrists; clinical AI evaluation, including clinical accuracy testing, safety review and medical red-teaming of medical LLMs, copilots and AI agents; AI scribe evaluation; and clinical training data such as clinician-written examples, RLHF preference data and structured expert feedback. DeepLabel's specialists come from the BiteLabs network of more than 30,000 clinicians and healthcare professionals. Founded in 2026 by Dr Azeem Alam BEM, DeepLabel is a BiteLabs company based in London and is part of BiteWorld Ltd.

SalesRiver is an all-in-one sales enablement platform designed to streamline and enhance the operations of distributed sales teams across various industries, including insurance, mortgage, financial services, real estate, and home services. By integrating customer acquisition, lead and call routing, performance insights, and sales team management into a single, customizable platform, SalesRiver empowers organizations to optimize their sales processes and drive revenue growth. Key Features and Functionality: - Advanced Lead and Call Distribution: Intelligently routes leads and calls based on flexible criteria to ensure optimal assignment and increased conversion rates. - Built-In Ping Post System: Facilitates seamless lead distribution and management, enhancing efficiency in handling potential customers. - Integrated CRM and VOIP Softphone: Combines customer relationship management with inbound and outbound calling capabilities, providing a unified communication solution. - Real-Time Reporting and Analytics: Offers comprehensive insights into sales performance, enabling data-driven decision-making and continuous improvement. - White Label Branding: Allows organizations to customize the platform's appearance and domain to align with their brand identity. - Team Hierarchy Management: Supports infinite team hierarchies, co-op money management, and granular performance reporting to effectively oversee and optimize sales teams. Primary Value and Solutions Provided: SalesRiver addresses the complexities faced by organizations with distributed sales teams by centralizing and automating critical sales and marketing workflows. The platform's intelligent lead and call routing ensure that prospects are promptly and appropriately assigned, enhancing conversion rates. Comprehensive performance analytics provide visibility into team operations, facilitating informed decision-making and targeted coaching. By offering a customizable, white-labeled solution, SalesRiver enables businesses to maintain brand consistency while improving operational efficiency and maximizing marketing return on investment.

Pregrade is an AI-powered grading assistant designed to streamline the essay evaluation process for educators. By enabling simultaneous grading of multiple essays using custom rubrics, Pregrade delivers personalized feedback efficiently. Educators retain full control, allowing them to review and adjust the AI-generated evaluations to ensure accuracy and appropriateness. This human-in-the-loop approach maintains accountability while significantly reducing the time and effort traditionally required for grading. Key Features and Functionality: - Batch Essay Grading: Upload and grade multiple essays at once, including both handwritten and typed formats. - Custom Rubric Integration: Utilize your own grading rubrics to ensure assessments align with course objectives. - Personalized Feedback: Receive detailed feedback highlighting each student's strengths and areas for improvement. - Grammar and Punctuation Corrections: Identify and correct grammatical errors, providing explanations to help students enhance their writing skills. - Handwritten Essay Recognition: Convert scanned handwritten essays into typed text for easier evaluation. - Grading Calibration: Adjust AI-generated grades to align closely with your grading standards by calibrating based on a sample of essays. - Data Analysis and Visualization: Access statistics and diagrams to visualize student performance and identify areas where the class excels or struggles. Primary Value and Problem Solved: Pregrade addresses the challenge of time-consuming and inconsistent essay grading by automating the initial evaluation process. This allows educators to focus on providing personalized guidance and support to students. By ensuring fair and consistent grading, Pregrade enhances the quality of feedback, promotes student success, and empowers educators to dedicate more time to teaching and less to administrative tasks.

NaraOps turns operational CSV and Excel data into management intelligence for business owners, managers and teams. It profiles data, supports reviewed field mappings and relationships, and produces interactive evidence of performance, drivers, trends, risks and opportunities across current-state data, dated snapshots, event histories and related tables. Users can create executive, operations, team, one-to-one and client briefs, with PDF and CSV exports. NaraOps is currently in public/review beta. CSV and Excel row analysis runs locally in the browser. Optional document extraction sends only selected files to OpenAI when explicitly requested, and extracted values require human review and approval before analysis. Ask NaraOps uses compact verified analytical context rather than raw workbook rows. Individual pricing is £14.99 per month or £149 per year, with a 14-day trial and no credit card required. Website: https://naraops.com App: https://app.naraops.com Demo and illustrative synthetic examples: https://naraops.com/demo Trust Centre: https://naraops.com/trust Security: https://naraops.com/security Security Pack: https://naraops.com/security-pack Support: support@naraops.com, Monday–Friday, 09:00–17:00 UK time. Founded in 2026, United Kingdom.

Lobe is a user-friendly platform that empowers individuals to create, train, and deploy custom machine learning models without any prior coding experience. Designed with simplicity in mind, Lobe enables users to harness the power of artificial intelligence by providing an intuitive interface for building models tailored to their specific needs. Key Features and Functionality: - No-Code Model Training: Lobe allows users to train machine learning models by simply providing examples, eliminating the need for complex programming. - Intuitive Interface: The platform offers a straightforward drag-and-drop interface, making it accessible for users of all skill levels. - Real-Time Feedback: Users receive immediate feedback on their model's performance, facilitating quick adjustments and improvements. - Seamless Deployment: Lobe supports easy integration and deployment of trained models into various applications and platforms. Primary Value and Problem Solved: Lobe democratizes machine learning by removing technical barriers, enabling users from diverse backgrounds to develop AI solutions tailored to their unique challenges. By simplifying the model creation process, Lobe accelerates innovation and empowers users to implement machine learning in their projects without the need for extensive technical expertise.

Moonstar helps companies grow their business by building a high performance and engaged workforce. We bring together in Moonstar’s mobile app the main tools companies need to help them grow: performance boards, AI driven insights, company communication, gamified competitions, onboarding and training, pulse checks and Nudges. Moonstar is backed as one of the most innovative Employee Performance Tech companies by Innovate UK and Harvard’s Innovation Labs.