Some portfolio managers try to process more than 500 research items a day. On a good day, only 20-30% of it ever gets read. That's not a discipline problem. It's a data problem: research arrives as email, PDFs and feeds, in a shape no AI system can use. Harkster is a consulting practice built around the Harkster Kernel, a data adapter for institutional research, developed and battle-tested on live hedge fund trading desks. We connect your sources, deploy the Kernel inside your own environment, and deliver a continuously updated stream of cleaned, embedded, indexed, AI-ready data, plus derived intelligence layers on top of it: extracted events and trade ideas, and the themes and consensus views derived from them. Then we step back. Your firm owns the last mile. Your engineers and investment teams build the proprietary workflows that match how you actually trade, without exposing your methods to anyone, including us. We industrialise the first mile so you can keep the last mile private. Clients run real assistants on Kernel data today, among them an Event Risk Calendar, Trending Themes, Trade Idea Consensus and Q&A, each built on the same AI-ready foundation. The Kernel runs on-prem inside your own cloud. Your data never leaves your environment. Book a consultation, or send us a sample piece of research and we'll return the Kernel's output within 24 hours. hello@harkster.com
| Website | https://harkster.com |
| Employees | 5 (2 on RocketReach) |
| Founded | 2023 |
| Technologies |
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| Industry | Financial Services |
| Keywords | Financial Research, Ai Productivity, Email Automation, Inbox Management, Investment Research, Market Analysis, Data Analysis, Ai Driven Tools, Financial Technology, Research Automation, Time Management, Workflow Optimization, Information Retrieval, Business Intelligence, Financial Analysis, Data Science, Machine Learning, Artificial Intelligence |
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Charlie Medwin is the Co-Founder and Head of Operations of Harkster.
2 people are employed at Harkster.