Ashby

Last updated: September 19, 2026

Reviewed by HR AI Tools Kit

What is Ashby?

Ashby is an all-in-one recruiting platform that unifies applicant tracking, candidate relationship management (CRM), interview scheduling, and hiring analytics into a single system built for ambitious, fast-growing companies. Rather than bolting AI onto a legacy ATS, Ashby was built from the ground up with automation and agentic AI woven into everyday recruiting workflows.

For HR and talent teams, Ashby replaces the patchwork of a separate ATS, a scheduling tool, a CRM for passive candidates, and a spreadsheet-based reporting process. Everything from sourcing to offer lives in one system, with native analytics that update in real time instead of requiring a separate BI tool.

What sets Ashby apart is how deeply agentic AI is embedded in the product: a conversational AI Assistant can execute multi-step tasks across the platform, custom AI agents can be built and shared across the team for repeatable workflows, and an AI Notetaker automatically records, transcribes, and summarizes every interview — all without leaving Ashby.

How HR Teams Use Ashby

AI Assistant & Custom Agents: Ashby’s AI Assistant performs tasks across the product through a simple chat interface — pulling candidate summaries, drafting outreach, or updating pipeline stages. Teams can also build custom AI agents with written instructions and share them across the org, turning one recruiter’s workflow into a repeatable team-wide process.

MCP Server for Claude, ChatGPT & Cursor: Ashby publishes a Model Context Protocol (MCP) server that lets AI assistants like Claude and ChatGPT query the recruiting pipeline and take action directly inside Ashby — without a recruiter ever opening the app.

AI Interview Notetaking: An AI Notetaker joins interviews, transcribes the conversation, and generates structured summaries and scorecards automatically, cutting down on the manual note-taking that eats into a recruiter’s day.

AI-Powered Sourcing & Matching: Ashby surfaces AI-driven candidate matches and sourcing recommendations while keeping recruiters in control of outreach and approval decisions, and it can automatically resurface previously-evaluated candidates who fit a new role.

Native Analytics & Reporting: Hiring funnel reports, source ROI, hiring manager scorecards, and cohort analysis are built into the core product, giving talent leaders real-time visibility without exporting data to another tool.

Key Features

• Unified ATS, CRM, interview scheduling, and analytics in a single platform
• Conversational AI Assistant that performs multi-step recruiting tasks on request
• Custom, shareable AI agents for repeatable team workflows
• Beta MCP server enabling Claude, ChatGPT, and Cursor to act inside the pipeline
• AI Notetaker for automatic interview transcription, summaries, and scorecards
• AI-powered candidate matching and sourcing recommendations
• Talent rediscovery to automatically resurface strong past candidates
• Real-time, customizable hiring analytics and dashboards
• Deep customization of pipelines, workflows, and permissions
• Native integrations with major HRIS, calendar, and productivity tools

Ashby for HR: Practical Benefits

One system instead of five: Consolidating ATS, CRM, scheduling, and analytics into a single platform removes the constant context-switching and manual data syncing that fragmented recruiting stacks require.

Less manual admin per interview: The AI Notetaker alone can save recruiters and hiring managers several hours a week that would otherwise go into typing up notes and scorecards after every call.

Faster, more consistent reporting: Built-in analytics mean talent leaders get live funnel and source-ROI data without waiting on a recruiting ops person to build a spreadsheet.

AI that stays inside your process: Because the AI Assistant and MCP server work inside Ashby’s own data model, recruiters get AI help without exporting sensitive candidate data to a separate third-party tool.

Ashby Pricing

Ashby’s Foundations plan is priced by company size, starting at roughly $300 per month for organizations with 1–10 employees (with a discount for annual billing), and scaling up through $400/month (11–25 employees), $500/month (26–50 employees), $700/month (51–75 employees), and $900/month (76–100 employees). Companies above 100 employees move to the Plus or Enterprise tiers, which are custom-quoted based on team size and feature needs. There is no free tier, but Ashby offers guided demos rather than a self-serve trial.

How Ashby Compares

Ashby vs Greenhouse: Greenhouse is the more established enterprise ATS with a larger third-party integration marketplace. Ashby offers a more modern interface, native CRM and analytics without add-ons, and considerably deeper agentic AI features, making it the stronger pick for startups and scaleups that want AI-native workflows without stitching together point solutions.

Ashby vs Lever: Lever is well suited to mid-market teams with straightforward hiring needs. Ashby’s native analytics and AI Assistant give talent teams more built-in firepower for data-driven hiring decisions without needing separate reporting or sourcing tools.

Best For

Ashby is best suited for fast-growing startups and scaleups that want a modern, analytics-first ATS with genuinely agentic AI built in, rather than a legacy ATS with AI features layered on top. It’s a particularly strong fit for talent teams that want to consolidate their sourcing, scheduling, and reporting stack, and for organizations already using Claude or ChatGPT that want those assistants to work directly inside their hiring pipeline via Ashby’s MCP server.