InsightArc Reimagining how AI agents understand people with product-level intent.

What is InsightArc?

InsightArc enhances customer experience (CX) systems by equipping AI agents with a deep understanding of user behavior. It analyzes user workflows in real-time, capturing every click within a product or website to infer precise, product-level intentions with high accuracy. This process generates a durable 'intent memory' unique to each user's journey.

This contextual information is then seamlessly streamed into existing CX tools, such as chatbots, virtual agents, and recommendation engines. By providing this live intent and context, InsightArc enables these systems to deliver more relevant responses, correctly route inquiries, and anticipate user needs, significantly reducing the need for manual intervention and escalations. This leads to improved self-service rates and potentially drives incremental revenue by addressing hidden friction points and optimizing user flows.

Features

Real-time Intent & Context: Delivers live understanding of user goals to AI agents.
Product-Level Intent Inference: Accurately identifies user intent related to specific product features or plans (95%+ accuracy).
User Workflow Database Creation: Turns user clicks into a live graph of intents and next actions.
Durable Intent Memory: Stores inferred intents persistently for ongoing context.
Context Streaming: Injects intent memory into chatbots and ticketing systems.
API & Webhook Integration: Connects seamlessly with existing CX stacks.

Use Cases

Enhancing Chatbot & Virtual Agent Performance: Providing context for more accurate answers.
Reducing Customer Support Escalations: Routing inquiries correctly based on user intent.
Improving Self-Service Rates: Enabling AI agents to resolve issues more effectively.
Automating Support & Onboarding Flows: Using intent data to guide users proactively.
Optimizing Upsell Opportunities: Identifying user needs based on their workflow.
Identifying Conversion Friction: Surfacing hidden issues by linking user actions to errors.