Qontext for Customer Service
Make every customer interaction build on the full context behind the case.
One answer, everywhere your customers ask
Qontext keeps the knowledge behind every case current, so AI agents and support teams can understand the customer’s situation and respond with confidence.
Resolve more cases with less searching and fewer handoffs
70%
faster resolution with current customer and product context
5 minutes
less research per case across support systems
3×
more cases resolved without escalation
Put your customer service context to work
Improved customer support
Ground customer answers in current product, policy, process, and account context.
Service commitment visibility
Retrieve the right SLA, entitlement, exception, and escalation path for every case.
Permission-aware context access
Limit which customer, contract, product, and troubleshooting context each Client can reach.
Traceable agent activity
Review the context a support Client retrieved when an answer or escalation needs investigation.
See all use cases
Trusted by the most AI-native customer service teams
In customer service AI, context is everything. If you want precise answers and customers who feel understood, generic AI won’t get you there.
Qontext provides the shared context foundation that makes this possible.
Philipp Heltewig
CEO & Founder, Cognigy
Agents and workflows on all platforms (make.com or any other market leader) need context specific to your business domain. Rebuilding it for each agent or workflow does not scale. You want something that’s set up once, stays live, and can be reused everywhere. This is the vision of Qontext and why I’m excited about their product.
Fabian Veit
CEO, make.com
Maintaining context across ten agents was manageable, but not scalable.
As AI expands, Qontext provides a single, up-to-date context base that powers them all.
Laurenz Ohnemüller
AI Engineer, Flink