Built by Operators, for Operators
We have lived the problem we are solving. CorePiper exists because we believe the best AI is driven by your SOPs and refined by real human feedback.
Born from a real problem
CorePiper was born from a real problem. Our founders, YC alumni with deep roots in logistics and operations, saw their teams spend countless hours on repetitive tasks — routing tickets, updating cases, managing queues across Salesforce, Jira, and Zendesk.
They saw the best operators develop incredible intuition: knowing exactly which tickets to escalate, how to prioritize a sudden spike, when to break from the playbook. But that expertise lived only in their heads — and walked out the door every time someone left.
So they built the tools they wished existed: AI agents driven by your SOPs and refined by real human feedback on real cases. Agents that encode your procedures, improve through feedback loops, and scale operational excellence across your entire team.
What we believe
These principles guide every decision we make — from product design to pricing to how we work with customers.
SOP-Driven, Feedback-Refined
We believe AI should be powered by your SOPs and continuously improved through real human feedback — capturing the judgment calls and institutional knowledge that make great operations.
Transparency First
Transparent pricing, transparent AI decisions, transparent roadmap. We believe trust is earned through openness, not black-box promises.
Speed to Value
Days not months. We earn your business by delivering fast. No six-month implementation timelines, no 20,000-ticket minimums, no excuses.
Cross-Platform by Design
Your tools should not limit your AI. CorePiper is built to work across Salesforce, Jira, Zendesk, and beyond — because real operations span multiple platforms.
The people behind CorePiper
A team of operators, engineers, and AI researchers united by a single goal: making AI that actually works for operations teams.
Sarah Chen
CEO & Co-Founder
YC alum (W22). Previously led operations at a Series D logistics company where she scaled the team from 30 to 300. Spent years seeing talented operators burn out on repetitive work and decided to build the solution.
Marcus Rodriguez
CTO & Co-Founder
YC alum (W22). Former principal engineer at a leading enterprise SaaS company. Built cross-platform integration systems serving millions of daily transactions. Obsessed with making AI actually work in production.
Priya Patel
VP Engineering
Previously engineering lead at a top-tier customer support platform. Spent five years building the infrastructure that processes billions of support tickets. Knows what scales and what breaks.
David Kim
Head of AI/ML
PhD in AI systems from Stanford. Former research scientist at a leading AI lab focused on human-in-the-loop AI. Pioneer in applying SOP-driven automation with feedback loops to operational workflows.