NextLM brings its precision prospecting agent to Google Cloud Marketplace

NextLM, a New York-based software company that utilizes behavioral analysis and artificial intelligence to assist sales professionals in identifying and evaluating leads, is launching its AI Prospecting Agent on Google Cloud Marketplace and Gemini Enterprise. The agent scrutinizes behavioral cues to discover individuals exploring a customer's product, presenting sellers with the underlying activity linked to each recommendation.

Customers can access the service using their existing Google Cloud spending allocations and activate the agent within Gemini Enterprise.

A key aspect of NextLM's offering is distinguishing between company-level and individual-level intent. Typically, business-to-business sellers lack visibility into who is researching their company, resulting in a trial-and-error approach when attempting to identify the individuals behind an IP address. NextLM's data engine processes 35 billion behavioral signals daily and encompasses over 300 million companies and 370 million professional profiles.

The company draws on advertising platforms and public databases to associate activity with individuals and employs a model that identifies combinations of behaviors suggesting an imminent purchase.

The agent surfaces prospects within the top 10% of its scoring, and each customer is provided with a personalized version of NextLM's model that adapts to their sales successes and failures. The service employs Savant, a lightweight AI model built upon Nvidia's Nemotron architecture and refined by NextLM for prospect scoring. Trained on Nvidia DGX Spark systems and executed on Nvidia A100 graphics processing units hosted on Google Cloud, Savant delivered a 2.45-fold improvement in capturing eventual buyers among the highest-scoring prospects compared to nine general-purpose AI models, according to NextLM's benchmark.

The scoring cost per thousand prospects on an owned GPU ranges between 3 cents and 11 cents, significantly less than frontier models. Early customer results indicate that roughly one in four recommended prospects either closes or advances to an opportunity likely to close within 60 to 90 days. NextLM has not gathered sufficient data to evaluate the consistent nature of this result across all customers.

The process of identifying named individuals from online behavior raises concerns about accuracy and privacy. NextLM acknowledges that it cannot attribute every person to the observed activity, but only surfaces those identified with a high degree of certainty. The company complies with an internal checklist, relies on assurances from data partners regarding consent, and excludes users covered by Europe's General Data Protection Regulation.

NextLM shares the names of prospects with a 97% likelihood to buy based on its scoring criteria. The company's entry-level plan begins at $599 a month without a long-term contract, with costs incurred as customers request prospects and related research. While NextLM is open to collaborating with other cloud providers, the positive experience with Google has led the company to maintain its infrastructure within the Google Cloud ecosystem.