ATC launches AI-native intelligence layer for tech GTM teams

ATC launched a new intelligence platform on June 15, 2026, aimed at giving B2B tech sales teams and AI agents deeper account context than legacy signal tools. The company says the platform cuts LLM token use, plugs into Claude and ChatGPT through MCP, and has already driven higher reply rates in early deployments. Why it matters: - ATC is targeting a gap in AI-driven go-to-market workflows: shallow account data that leaves sellers and agents making decisions from fragmented signals. - The company is positioning its platform as a new data layer for autonomous sales workflows, where better account intelligence can improve targeting and reduce wasted outreach. - ATC says the approach also lowers the amount of context large language models need to process, which can reduce token consumption. What happened: - ATC launched what it calls the first AI-native intelligence platform for tech GTM teams on June 15, 2026. - The platform introduces “Conviction Intelligence,” which ATC describes as a new category of data infrastructure for the agentic GTM era. - The launch focused on delivering account-specific directives that tell revenue teams and AI agents who to target, why now, who owns the problem, and what to say. - ATC says the platform is available immediately through on-demand Account Attack Plans, native MCP integration with Claude or ChatGPT, and persistent deployment across an agentic GTM stack. The details: - ATC says 54% of B2B sellers used AI agents in 2025, while account intelligence maturity remained near 12%, based on Salesforce’s State of Sales report. - The platform triangulates curated sources to replace behavioral signals with deeper account analysis. - ATC feeds the compressed analysis to large language models through the Model Context Protocol, or MCP. - ATC says the setup reduces the need for expansive context windows and cuts LLM token consumption. - The company says early deployments delivered a 10X prospect reply rate against an industry baseline near 1%. - ATC says 95% of tech GTM teams now use automated outreach, increasing message volume while response quality stays flat. - The platform is designed to sit beneath the execution stack and answer whether an account is worth a team’s time before outreach starts. - ATC’s founders spent two decades leading Pacific Crest Securities and built institutional technology research for investors including Fidelity and J.P. Morgan. - ATC says that research discipline now underpins the platform’s account directives. - Jim Beasley, a regional sales manager at a data-infrastructure company, said he used the platform to reach an 11.4% reply rate. - Beasley said the approach lets his team pursue fewer accounts and get better results from each prompt. - ATC says its native MCP server connects directly to Claude and ChatGPT so agent actions use verified, account-specific directives instead of generic context. - Scott Sandbo, CEO of ATC, said AI agents inherited a shallow data layer and ATC provides the deep intelligence infrastructure needed for agentic grounding. - ATC is headquartered in Portland, Oregon, and says it launched in 2023. - The company says it synthesizes ecosystem data, real-time signals and machine learning into account-specific directives for reps and AI agents. - ATC directs readers to get started at its website . - ATC’s LinkedIn page is here . Between the lines: - ATC is framing account intelligence as infrastructure, not just a sales tool, which puts the company in a different category from basic enrichment or sequencing vendors. - The emphasis on MCP matters because it ties ATC to the emerging standard for connecting AI agents with outside tools and data. - The company is also borrowing language from investment research to suggest its output is more rigorous than typical sales signals. What’s next: - ATC appears to be betting that GTM teams will move from high-volume outreach to smaller, higher-conviction account lists. - Wider adoption will likely depend on whether the platform can sustain higher reply rates as it scales beyond early users. - The company’s immediate growth path runs through integrations with Claude, ChatGPT and broader agentic GTM stacks.