Opsforce.ai delivers a GTM infrastructure platform for enterprise revenue teams, aligning data, workflows, systems, and people to unlock AI‑driven revenue growth. By cleaning and centralizing trusted data and redesigning operating models, it helps CMOs, CROs, CFOs, and private‑equity operating partners at $50 M–$1 B+ organizations reduce costs, increase revenue, and mitigate risk. The solution draws on 15 years of GTM delivery experience across mid‑market and enterprise clients such as Comcast and American Express.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprise revenue teams struggle to realize AI investments because their underlying data, workflows, and organizational structures are fragmented and unreliable, leading to wasted spend, missed revenue opportunities, and heightened operational risk.
Solution
Opsforce offers a GTM infrastructure platform that creates a clean, trusted single source of truth for finance and operational data, then layers automated workflow execution and role-based routing on top. By standardizing data lineage, identity resolution, and quality assurance, the platform ensures AI models receive accurate inputs. Encoded routing logic, scoring models, and approval chains run consistently each day, reducing manual effort and errors. The solution aligns the operating model—data, processes, and team structures—with AI capabilities, enabling CMOs, CROs, CFOs, and private‑equity partners to cut costs, accelerate revenue growth, and mitigate risk across $50M‑$1B+ enterprises.
Target Audience
Primary customers are CMOs, CROs, CFOs, and private‑equity operating partners at mid‑market and enterprise organizations with revenues between $50 million and $1 billion.
Features
- Centralized data platform with CDP/warehouse integration, identity resolution, and automated lineage & quality checks
- Configurable workflow engine that encodes routing logic, scoring models, and approval chains for daily automated execution
- Role‑based governance framework linking finance, marketing, and sales teams to a unified operating model
- AI‑ready data layer that feeds trusted inputs to machine‑learning models and analytics tools
- Dashboard and reporting tools that surface operational metrics, cost savings, and revenue impact in real time