Aurasell Launches Agent Builder for Go-To-Market Teams
Aurasell introduces Agent Builder, enabling GTM teams to create agentic workflows in natural language across unified customer data without code.
Aurasell has released Agent Builder, a platform capability that lets GTM operators design, orchestrate and run agentic workflows in natural language without writing code. The tool unifies structured and unstructured customer data from across the GTM stack and continuously captures cross-channel conversations.
Addressing Fragmented Data Foundations
Most GTM teams advancing AI initiatives operate on incomplete data spread across 15 or more disconnected tools. According to Demand Gen Report, this fragmentation leaves agents without full customer context, producing missed signals and workflows that fail in production. Agent Builder connects these signals into unified workflows that teams can activate in minutes.
Platform Growth Since August 2025 Launch
Since its August 2025 launch, Aurasell has reached more than 50 customers, with 37 percent replacing HubSpot or Salesforce. The platform reports more than $6 million in ARR and has powered over 185 million agentic workflows. It serves hundreds of users daily and embeds role-based access controls for enterprise governance.
The platform rests on three components: Aura Context, which builds a real-time graph of conversations, channels and signals; Aura Trust, which applies policy controls over agent access to revenue data; and Aura IQ, which incorporates GTM patterns from leaders at Twilio, Meraki, Harness and MongoDB.
Customer Deployments and LLM Support
Xerox moved more than 85,000 accounts into Aurasell to analyze intent signals and run an AI-enabled competitive takeout sequence that determines next-best actions. TCI Logistics and Kurrent.AI also use the platform for real-time pipeline workflows.
Agent Builder is available now to existing customers and supports large language models from OpenAI, Anthropic, Google and other frontier providers. According to Demand Gen Report, the release targets teams seeking to move beyond demo-stage AI to governed, production-grade agentic systems.
Further details appear in the original Demand Gen Report coverage at the linked source.
