Most teams review a tiny sample. Our AI reviews every one.






WS uses Drupal DevOps Workflow and tools including Git, Docker, Jenkins to containerize the local development environment and ensure better configuration management, consistent integration, automated testing and continuous delivery. This reduces manual interventions providing more secured and fine-grained control on artifacts with faster and reliable deliveries of scalable applications.

Industries we serve:
Insight you can act on, not just reports.
Hear every customer. Act faster.
Speech & Text Analytics
Accurate transcripts and topic tagging.


Quality & Compliance Automation
Auto QA scoring and compliance alerts.
Agent Coaching & Performance
Scorecards and coaching for every agent.


Customer & Revenue Insights
Churn, upsell and product signals.
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Every call, chat and email turned into insight.

Sentiment and Intent Across Channels

Automatic QA on Every Interaction

Compliance Alerts as They Happen

Coaching Insights for Every Agent
Conversational analytics uses AI to analyse customer conversations across calls, chats and emails. It transcribes and reads every interaction, then identifies topics, intent, sentiment, compliance issues and agent performance, so businesses understand what customers need and how well they are served.
Traditional monitoring relies on supervisors listening to a small sample of calls. Conversational analytics reviews every conversation automatically, across voice and text channels, and highlights the ones that need attention, so insights are complete and arrive much faster.
Phone and contact-centre call recordings, SpiderX voice AI conversations, website chat, WhatsApp and chatbot transcripts, email inboxes and helpdesk tickets, all brought together in one view.
Yes. Web Spiders configures the system to score every interaction against your QA scorecard and compliance rules, such as required disclosures or prohibited language, and to send alerts when a conversation needs review.
Yes. Web Spiders uses PII masking, encryption, role-based access and audit trails, configured to your data retention policies and designed to support GDPR, HIPAA and India's DPDP Act requirements.
Speech-to-text and large language models including Claude, OpenAI and Gemini, cloud infrastructure on AWS, Google Cloud and Microsoft, and integrations with Salesforce, Dynamics 365, HubSpot, Zendesk and BI tools such as Power BI.
Web Spiders follows four steps: connect your channels with the right data controls, define the intents, QA rules and KPIs that matter, analyse every conversation with AI, then act on the insights through coaching, journey fixes and team reports.
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