Define the market
We define the buyer segment, geography, category, opportunity signal, and required fields.
Investors
Kumquat is building the data layer for AI-powered sales and market discovery.
We turn public business signals into structured, AI-agent-ready datasets for sales teams, agencies, founders, and automation workflows.
The problem
The Problem
Businesses do not have a data shortage. They have a structured-data problem. The public internet contains millions of useful business signals, but turning those signals into usable datasets usually requires developers, scraping infrastructure, manual cleanup, enrichment, analysis, and compliance review.
The solution
The Solution
Kumquat uses AI-assisted crawler generation, public-source research, data cleaning, and human review to turn messy web signals into ready-to-use business datasets. Customers can buy existing CSV lists or request custom datasets by niche, city, industry, signal, buyer type, or workflow.
Why now
Why Now
AI agents need structured inputs. Sales agents, research agents, marketing agents, and workflow automation tools are only as useful as the data they operate on. Kumquat gives those agents clean, targeted, commercial datasets they can act on.
What Kumquat sells
What Kumquat Sells
Ready-made niche business datasets
Custom lead lists
AI-agent-ready CSV files
Market opportunity signals
Website-gap and software-gap datasets
Creator, event, local business, ecommerce, and professional-service lists
Structured public-source commercial intelligence
Business model
Business Model
- One-time CSV purchases
- Custom data requests
- Bulk list packages
- Monthly refreshed data subscriptions
- API access
- White-label datasets for agencies
- Data feeds for AI outbound platforms
- Custom crawler/data pipeline contracts
The wedge
The Wedge
Kumquat focuses on high-intent niche datasets with opportunity labels. Instead of generic lead lists, Kumquat identifies why a business may be useful to contact, such as no online ordering, no booking link, weak SEO, broken contact form, ad spend signal, hiring signal, or sponsor signal.
Data process
How Kumquat Builds Data
Generate or adapt crawlers with AI agents
AI agents and Codex-assisted workflows help create focused collection workflows for each dataset type.
Collect public business signals
We gather public business signals from websites, directories, business pages, search results, and open web sources.
Clean and normalize the data
Records are deduplicated, normalized, formatted, and prepared for downstream sales and research workflows.
Add opportunity labels
Where useful, records are tagged with commercial context such as booking gaps, website gaps, ad signals, hiring signals, or sponsor signals.
Human-review the dataset where needed
Human review helps check edge cases, unclear records, source quality, and category fit.
Deliver CSV, spreadsheet, API-ready, or agent-ready files
Customers receive structured files that can support sales teams, CRMs, enrichment workflows, or AI agents.
Refresh important datasets on a schedule
Monitors and scheduled refreshes help keep priority datasets useful as public sources change.
Responsible use
Compliance and Responsible Use
Kumquat focuses on public business websites, business contact pages, public company information, source URLs, professional-use datasets, and last-verified dates where available. Kumquat is not building consumer surveillance. We focus on public-source business information, commercial signals, source transparency, removal/correction workflows, and responsible use.
Read Data PolicyInvestor contact
Request the investor memo.
Email info@athena.live to request the investor memo or discuss Kumquat.
Email info@athena.live