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Lynkr Ltd

Lynkr Ltd

Agency
United Kingdom flaglondon, United Kingdom
lynkr.co.uk
$20.00/hrIntermediate10+GDPRISO 27001

Key Skills

Software

Other
AppenAppen

Top Subject Matter

No subject matter listed

Top Data Types

TextText
AudioAudio
DocumentDocument

Top Task Types

ClassificationClassification
SegmentationSegmentation
Object DetectionObject Detection
Text GenerationText Generation
Question AnsweringQuestion Answering

Company Overview

Lynkr Customer Support Services is a UK-based agency specialising in AI-powered customer experience and business automation solutions. Our mission is to help businesses scale efficiently by combining human expertise with advanced AI tools to deliver fast, reliable, and high-quality customer support. We provide end-to-end services including customer service outsourcing (live chat, email, and social media support), AI chatbot development, workflow automation, CRM optimisation, and process improvement. Our approach focuses on reducing operational costs while increasing response speed, customer satisfaction, and retention. What sets us apart is our hybrid model — blending trained support agents with intelligent automation. Our team is experienced in using platforms such as OpenAI, Zapier, HubSpot, and Zendesk to build scalable, customised solutions for each client. We work with startups, SMEs, and growing e-commerce brands across industries including logistics, retail, and digital services. Our services are delivered remotely, allowing us to support clients globally while maintaining flexible and cost-effective operations. Security and data protection are a priority in our operations. We follow best practices for handling customer data, ensuring confidentiality, compliance, and secure system integrations. Our team consists of trained customer support specialists, AI automation experts, and operations professionals with hands-on experience in managing high-volume support environments and building efficient backend systems. Through our work, we aim to simplify operations for businesses, allowing them to focus on growth while we handle customer experience and automation.

IntermediateEnglish

Security

Security Overview

Lynkr Customer Support Services takes data security, privacy, and responsible AI usage seriously across all client projects. We implement strict internal controls to ensure that all customer and business data is handled securely, ethically, and in compliance with applicable UK data protection standards, including GDPR. All team members are trained in secure data handling practices, confidentiality agreements, and safe use of AI tools when processing or interacting with client information. Access to client data is restricted on a role-based need-to-know basis, ensuring minimal exposure and reducing risk. We use trusted and secure platforms for operations and automation, including tools such as OpenAI, Zapier, HubSpot, and Zendesk, all configured with appropriate access controls and authentication measures. Sensitive data is never used for model training outside of approved environments. Where AI systems are used, we ensure data minimisation principles are applied, meaning only necessary information is processed for task completion. We also avoid storing unnecessary personal data and regularly review workflows to maintain compliance with privacy-by-design principles. Our infrastructure relies on secure cloud-based systems with encryption in transit and at rest where applicable. We also implement internal audit checks and process reviews to ensure continuous improvement in data protection practices. Lynkr is committed to maintaining client trust through transparency, accountability, and adherence to industry-standard security protocols in all customer support and AI automation services.

Security Credentials

GDPRISO 27001

Labeling Experience

Labelbox

AI Customer Support Data Annotation & Automation Training Project

LabelboxTextText GenerationQuestion Answering
This project focused on building and refining AI-ready customer support datasets for automation workflows and chatbot training. The work involved labeling large volumes of customer interaction data including live chat messages, email support tickets, and CRM records to improve AI response accuracy and intent recognition. Tasks included sentiment classification, intent tagging, conversation structuring, escalation detection, and response quality evaluation for AI-assisted customer support systems. The dataset was designed to support automation in customer service environments across SME and e-commerce businesses. The project scale involved processing approximately 10,000+ conversation samples across multiple industries including logistics, retail, and digital services. Quality was maintained through multi-step review processes, consistency checks, and validation against predefined annotation guidelines aligned with AI training best practices. All data handling followed strict confidentiality procedures and GDPR-aligned privacy standards, ensuring secure processing of customer information.

This project focused on building and refining AI-ready customer support datasets for automation workflows and chatbot training. The work involved labeling large volumes of customer interaction data including live chat messages, email support tickets, and CRM records to improve AI response accuracy and intent recognition. Tasks included sentiment classification, intent tagging, conversation structuring, escalation detection, and response quality evaluation for AI-assisted customer support systems. The dataset was designed to support automation in customer service environments across SME and e-commerce businesses. The project scale involved processing approximately 10,000+ conversation samples across multiple industries including logistics, retail, and digital services. Quality was maintained through multi-step review processes, consistency checks, and validation against predefined annotation guidelines aligned with AI training best practices. All data handling followed strict confidentiality procedures and GDPR-aligned privacy standards, ensuring secure processing of customer information.

2024 - Present