About
About Zipf AI
Persistent web monitoring with judgment — for teams and AI agents.
Our Mission
No team can watch every source that matters. That's why you put agents on patrol.
We build agents that patrol the web with judgment. The old model — search, scan, repeat — was built for humans clicking on 10 blue links. Today, teams and AI agents need persistent monitoring that understands what changed, ignores what didn't matter, and delivers signals when something does.
Zipf deploys intelligent workflows that watch your sources on a schedule, extract the fields you care about, detect meaningful change, and deliver to Slack, CRM, or webhooks. Search and crawl are primitives — the product is the patrol.
Our founding team built search and LLM systems at Microsoft Bing, Snowflake, Neeva, Walmart, Qualtrics, and Mendel.AI. We've published dozens of papers with thousands of citations, hold dozens of patents, and shipped systems handling billions of queries daily.
We are not building yet another hype-chasing company that works its employees to the bone. We are a deeply curious and genuine group of people. While most of us could talk shop for all hours of the day we heavily encourage everyone to get healthy doses of reality.
What We Believe
AI agents need persistent web access
Humans check a page once. AI agents need sources watched continuously, changes understood semantically, and signals delivered to where they act. That's a different kind of infrastructure.
Control and customization over one-size-fits-all
Generic search optimizes for the average use case. We believe developers should control every aspect: from ranking functions to index selection to session-based refinement.
Quality metrics that actually matter
We measure retrieval quality, relevance, and customer success — not engagement metrics or ad clicks. Building outside the ad-dollar paradigm lets us optimize for what's truly useful.
Infrastructure as picks and shovels, not magic
We're not chasing hype or promising AGI. We're building reliable, boring infrastructure that developers can depend on — the picks and shovels for the AI era.
Work-life balance is non-negotiable
Long-term success requires sustainable pace. We're not a "hustle culture" company as we choose to focus on building with leverage. While we could talk shop 24/7 we encourage a regular and healthy doses of reality. We all have families, hobbies, and lives outside work.
Building at the intersection of research and practice
Our team has published papers and filed patents, but we ship production systems. We value pragmatism over academic perfection — the best idea is the one that works.
AI agents need persistent web access
Humans check a page once. AI agents need sources watched continuously, changes understood semantically, and signals delivered to where they act. That's a different kind of infrastructure.
Control and customization over one-size-fits-all
Generic search optimizes for the average use case. We believe developers should control every aspect: from ranking functions to index selection to session-based refinement.
Quality metrics that actually matter
We measure retrieval quality, relevance, and customer success — not engagement metrics or ad clicks. Building outside the ad-dollar paradigm lets us optimize for what's truly useful.
Infrastructure as picks and shovels, not magic
We're not chasing hype or promising AGI. We're building reliable, boring infrastructure that developers can depend on — the picks and shovels for the AI era.
Work-life balance is non-negotiable
Long-term success requires sustainable pace. We're not a "hustle culture" company as we choose to focus on building with leverage. While we could talk shop 24/7 we encourage a regular and healthy doses of reality. We all have families, hobbies, and lives outside work.
Building at the intersection of research and practice
Our team has published papers and filed patents, but we ship production systems. We value pragmatism over academic perfection — the best idea is the one that works.
Committed to Open Research
We believe in the power of open research. While we're working on state-of-the-art search, retrieval, and reasoning systems for web data, we think it's important that those doing this work can publish and share their learnings with the broader community.
Our team has a long history of academic publishing — dozens of papers, thousands of citations, contributions to datasets and benchmarks that have shaped the field. We're not stopping now. We encourage our team to publish research, speak at conferences, and contribute to the broader scientific dialogue.
Science advances when knowledge is shared. We're building a company, but we're also part of a research community. We take that responsibility seriously.
We believe in the power of open research. While we're working on state-of-the-art search, retrieval, and reasoning systems for web data, we think it's important that those doing this work can publish and share their learnings with the broader community.
Our team has a long history of academic publishing — dozens of papers, thousands of citations, contributions to datasets and benchmarks that have shaped the field. We're not stopping now. We encourage our team to publish research, speak at conferences, and contribute to the broader scientific dialogue.
Science advances when knowledge is shared. We're building a company, but we're also part of a research community. We take that responsibility seriously.
Meet the Weavers at Zipf
Daniel Campos
CEO & Founder (Head Information Farmer)
Spent way too much time in school @UIUC, @UW, @RPI. Built web-scale search with LLMs at Microsoft, Neeva, Walmart, and Snowflake. Proud father of three always way to glad to talk about search systems, biological and electronic intelligence, restoring old houses, coffee/wine, and hunting.
Daniel Campos
CEO & Founder (Head Information Farmer)
Spent way too much time in school @UIUC, @UW, @RPI. Built web-scale search with LLMs at Microsoft, Neeva, Walmart, and Snowflake. Proud father of three always way to glad to talk about search systems, biological and electronic intelligence, restoring old houses, coffee/wine, and hunting.
Charlie Schwartz
Founding Engineer
Econ + CS @Vanderbilt. Built ML platforms, video-to-video search, and other high-availability backend systems at Amazon Prime Video. Previously scaled Kubernetes and AWS infrastructure at Red Ventures. Enjoys talking about distributed systems, production ML, cloud infrastructure, and mountaineering, golf, & poker.
Charlie Schwartz
Founding Engineer
Econ + CS @Vanderbilt. Built ML platforms, video-to-video search, and other high-availability backend systems at Amazon Prime Video. Previously scaled Kubernetes and AWS infrastructure at Red Ventures. Enjoys talking about distributed systems, production ML, cloud infrastructure, and mountaineering, golf, & poker.
You?
Founding Engineer
You?
Founding Engineer
You?
Founding Engineer
You?
Founding Engineer
We're Hiring - 3 Open Positions
We're building agents that patrol the web for teams and AI systems. Join us in creating the monitoring infrastructure that understands what changed, filters noise, and delivers signals — with all the controls businesses actually need.
Founding Software Engineer
Build search, crawl, and workflow infrastructure from scratch. Work across the full stack - from distributed systems to ML models to product.
Founding Software Engineer
Build search, crawl, and workflow infrastructure from scratch. Work across the full stack - from distributed systems to ML models to product.
Founding Software Engineer
Build search, crawl, and workflow infrastructure from scratch. Work across the full stack - from distributed systems to ML models to product.
We're Hiring - 3 Open Positions
We're building agents that patrol the web for teams and AI systems. Join us in creating the monitoring infrastructure that understands what changed, filters noise, and delivers signals — with all the controls businesses actually need.
Founding Software Engineer
Build search, crawl, and workflow infrastructure from scratch. Work across the full stack - from distributed systems to ML models to product.
Founding Software Engineer
Build search, crawl, and workflow infrastructure from scratch. Work across the full stack - from distributed systems to ML models to product.
Founding Software Engineer
Build search, crawl, and workflow infrastructure from scratch. Work across the full stack - from distributed systems to ML models to product.
Advisors & Angel Investors
Supported by experienced operators and founders who understand the AI, Search, Developer Tools, and Infrastructure landscape.
Supported by experienced operators and founders who understand the AI, Search, Developer Tools, and Infrastructure landscape.
Location
We're based in NYC but open to hybrid and remote. Come say hi if you're in the neighborhood.
368 9th Ave, New York, NY 10001
Join Us
We're building agents that patrol the web with judgment. If you're excited about persistent monitoring that powers the next generation of intelligent systems, we'd love to hear from you.
Stay updated on our progress
Join Us
We're building agents that patrol the web with judgment. If you're excited about persistent monitoring that powers the next generation of intelligent systems, we'd love to hear from you.
Stay updated on our progress
"Excelsior"