HyperArc is a relatively young tech company that has developed an advanced way to analyze customer data – in real time – using artificial intelligence (GenAI). Their proprietary HyperGraph technology makes it possible to detect patterns and relationships in large datasets far faster than traditional tools.
HyperArc brings three major advantages:
HyperGraph engine: Groundbreaking tech for analyzing complex data relationships.
Real-time GenAI insights: Not just showing data – the system suggests solutions automatically.
A talented team: With a proven ability to innovate quickly and effectively according to Zendesk.
Zendesk plans to integrate HyperArc’s technology into its analytics module (Explore) and roll out:
Immediate improvements: Faster release of better dashboards, visual insights, and natural language queries.
A new GenAI platform: A powerful new system combining human context with AI-driven insights – coming over the next few months.
Faster insights – in real time
No more waiting for someone to build a report. With the new tech, you can ask questions directly and get immediate answers, like:
“What are our most common support requests right now?”
“Which customers are at risk of churning?”
Less manual work, more automation
Zendesk may soon suggest your next move – like sending an email to an unhappy customer or alerting your support team about urgent issues.
Easier access to data – even for non-technical users
Advanced analytics is becoming more accessible. You don’t need to be a data expert to get value from your data anymore.
Zendesk has made a series of targeted AI acquisitions in recent years:
Tymeshift (2023): Real-time workforce planning
Klaus (2024): AI-powered quality assurance for customer interactions
Ultimate (March 2024): AI agents for automating CX
Local Measure (February 2025): Strengthens Zendesk’s voice and IVR capabilities
Acquiring HyperArc is a natural next step in this strategy.
With the new GenAI technology, advanced analytics becomes far more accessible. You can ask questions using plain language – and get meaningful insights in seconds. This marks the beginning of a small data revolution in customer service: Instead of only reviewing old reports, companies can now interpret data in real time and act before problems escalate.