platoseed
AI-native ATS/CRM for recruiting firms
Spott is the first AI-native ATS/CRM for recruiting & staffing firms. We built Spott because existing recruitment platforms require extensive manual work, are clunky to use, rely on fragmented add-ons, and are not designed for AI adoption. Spott combines everything recruiting firms need, from a full ATS & CRM to AI agents across the entire workflow, into one AI-native solution. It enables recruiters to focus on what matters most and close more placements.
Spott provides an AI-native ATS/CRM designed for recruiting agencies, aiming to speed up workflows and improve placements. It combines ATS and CRM in one platform, with AI at the core to support search, outreach, and analytics. The product emphasizes enterprise readiness and real-time insights.
A single platform that merges applicant tracking and client relationship management into one workspace. Features include full semantic search, AI-driven matching and suggestions, AI-powered note taking and call summarization, data enrichment, multi-channel outreach (including email, WhatsApp, and calendars), task automation, candidate presentations, and analytics with role-based access. It supports migration from other ATS/CRMs with white-glove data transfer, integrates with various tools, and provides an end-to-end workflow from candidate discovery to client outreach and placement.
Who itβs for: Recruiting agencies and agency recruiters managing multiple clients, pipelines, and revenue models (exec search, permanent, temp, contracting).
Backed by Y Combinator; claims enterprise-ready and scalable with migration support and real-time insights
Co-Founder & COO at Spott. Previously worked at McKinsey on Strategy, Tech DD and HR projects. Background in Finance with internships in IB & PE at Morgan Stanley and CVC. Master's degree in Financial Analysis at LBS
Co-Founder & CEO at Spott. Previously worked at Bain building an AI job match tool and built a GenAI consulting-case interviewer as a side project. Background in Financial Statistics with internship in IB at JPMorgan and Master's degree at Bocconi.
Co-Founder & CTO at Spott. Previously worked at BCG, building Data & ML pipelines for Recruitment Agencies in the UK, USA, EU with a wide range of industry, experience & staffing type specializations. Background in Mathematical Statistics, Machine Learning & AI. Backend, DevOps & Infra enthusiast. Master's degree in Statistics at LSE.
Supporting recruiters to focus on human interactions and increase placements
Spott builds AI agents for recruiting firms to replace legacy platforms, starting with a candidate report writing agent that ingests CVs, job descriptions, and interview notes to generate drafts in seconds and export to custom Word or PowerPoint templates for executives' searches.

Agentic hiring marketplace

AI native ATS + CRM for executive search firms