Production GTM offers an AI‑driven go‑to‑market platform that lets companies deploy fully functional sales and growth teams as autonomous agents. The system provides intelligent lead filtering, intent detection, and deep personalization, delivering 5–7× higher conversion rates while keeping spam low. It runs agents in scalable “Hive” cells with sub‑second cold starts, allowing cost‑efficient execution of both cheap and GPU‑intensive tasks.
Funding
Funding not disclosed
Founders
Product
Problem
Companies seeking to scale outbound sales and lead generation often rely on manual processes, generic templates, or fragmented automation tools that produce low response rates, high spam, and inefficient resource use.
Solution
Production GTM offers an AI‑driven go‑to‑market platform that automates lead generation and outbound outreach through intent detection, intelligent filtering, and deep personalization. Users deploy a “colony” of AI agents—each with defined roles, skills, and personalities—via a single prompt, eliminating the need to build and manage individual workflows. The platform runs agents in scalable Hive cells with sub‑second cold starts, automatically allocating CPU, memory, or GPU resources to match workload demands and keep operational costs low. Integrated observability logs every call, token, and dollar spent, providing transparent audit trails and real‑time performance metrics. Pricing is based on Hive Credits, a usage‑based unit that charges only for model tokens, tool calls, and orchestration steps, with daily bonuses and optional credit packs to avoid rate limits.
Target Audience
Primary customers are B2B sales and growth teams, founders, and marketers who need automated, high‑conversion outbound campaigns without building custom AI infrastructure.
Features
- AI agents (“Workers”) organized in colonies with role‑based personalities and versioned identities for auditability
- Intent detection and intelligent filtering to prioritize high‑value prospects and reduce spam
- Deep personalization of outreach messages using large language models and tool integrations
- Custom orchestration on KVM/Firecracker Hive cells with sub‑second cold starts and automatic CPU/GPU scaling
- Transparent usage accounting via Hive Credits, with per‑token, per‑tool, and per‑hop billing
- Real‑time observability dashboard showing calls, tokens, costs, and performance metrics
- Integration options including Slack, Stripe, Notion, and API access for workflow embedding