Join the Sturdy squad

Sturdy ingests all customer communications across email, support tickets, chat, meeting notes, call transcripts, and other sources into one unified database [1]. The system automatically applies data wrangling processes, cleaning and combining disparate formats so teams no longer need to manually aggregate information [2]. This process leverages direct, authorized connectors to systems such as Salesforce, HubSpot, Zendesk, Jira, Gong, Zoom, Slack, Outlook, Gmail, and ServiceNow [3], providing complete coverage rather than relying on partial or third-party data transfers. By consolidating 100 times more feedback than traditional approaches [4], the platform offers what executives describe as a single source of business truth. Instead of being distributed across multiple silos where trends are often missed, every customer comment and signal is made searchable and actionable. This unified foundation allows predictive models to operate on comprehensive data rather than partial subsets, resulting in earlier detection of account risks. The elimination of independent silos also reduces errors, as customer information is consistently up-to-date across all revenue-facing teams.

The platform uses natural language processing and AI classification techniques to mine risk signals from unstructured communications [5]. Churn risk rarely occurs as an isolated event, but instead emerges from multiple small warning signs such as bug reports, recurring feature requests, contract discussions, unhappy sentiment, or leadership turnover in the customer’s organization. Sturdy can be trained to recognize specific categories of signals such as “overpromising,” “pricing stress,” or “competitor evaluation.” The models operate continuously, so detection does not wait for renewal periods but instead provides real-time identification of developing risk. This intelligence becomes actionable because risks are tied directly to specific communications rather than abstract metrics. The output is not just a generic health score, but concrete flagged events with customer-provided evidence. This data allows revenue leaders to intervene weeks or months before a contract renewal discussion, providing greater probability of retaining the account. By surfacing early signals consistently, Sturdy increases both net dollar retention and customer lifetime value by giving teams actionable foresight.

When Sturdy identifies a churn signal, it automatically generates an alert and routes it through predefined workflows [6]. This delivery can occur within Slack channels, CRM task queues, or other integrated systems, depending on the team’s processes. Alerts are context-rich, providing the exact customer comment, system of origin, and any associated tags such as “pricing objection” or “renewal risk.” For example, if a customer raises competitor references or requests a discount, the account manager receives a notification with the communication excerpt and recommended next steps. Instead of combing through disparate tickets or missed conversations, stakeholders are informed at the precise moment they need to act. This reduces the long lag time between when an issue occurs and when the company responds. Investors in Sturdy describe this intelligence as a new “source of churn data” that enables proactive retention strategies [7]. By embedding into daily workflows, alerts improve consistency across teams, reducing the risk of accounts deteriorating silently before renewal calls.

The platform provides a dedicated dashboard where all feedback channels are aggregated by account in one interface [8]. This view includes every ticket, call, chat, and email linked to the customer, enabling account teams to enter renewal conversations with full situational awareness. By integrating historical and recent events, the view allows quick prioritization of the most urgent matters. Teams avoid being blindsided during contract negotiations, since all prior issues are visible. The account dashboard is designed to minimize cognitive load while presenting high-value insights such as open requests, unresolved frustrations, or major change events. This ensures that interventions are based on complete context rather than selective summaries from siloed systems. The consolidated perspective also improves planning by clarifying which accounts require executive outreach and which have opportunities for expansion. By providing this 360-degree context, Sturdy aligns customer success, account management, and sales renewal preparation around the same factual dataset.

Sturdy has undergone verified SOC 2 Type II audits, confirming that its infrastructure, personnel, and processes meet established Trust Services Criteria for security, availability, and data handling [9]. All customer communications flowing into the platform are secured under encryption policies and limited-access controls. At the same time, Sturdy’s deployment model is engineered for rapid adoption, with a design philosophy of “0 data engineers required” [4]. Integration relies on direct connectors rather than custom middleware, reducing both implementation risk and the time required to achieve value. In case studies, customers have reported measurable retention improvements in as little as six weeks post-deployment [10]. The architecture is API-centric, with a unified interface that centralizes access across all customer systems [1]. This means that enterprises do not need to provision separate engineering and support teams to manage integration pipelines. By combining compliance-grade security with rapid deployment velocity, Sturdy aligns with enterprise requirements for risk mitigation and operational efficiency.