Autonomous AI agent with 17 hiring intents. Sources, writes, calls, interviews, scores and schedules. 2-second semantic search across your candidate database. Voice and text. 15+ languages with auto-detection.
Not a chatbot. Not a copilot. The hiring itself. Blade takes a request in plain English, picks the right sources, writes outreach, runs the interview and ships you a structured assessment. Your team focuses on judgement calls — Blade does the work.
Plain-English query: "senior frontend engineer with fintech experience in Berlin, open to hybrid". Blade returns matched candidates in under 2 seconds.
In-app, on Slack, on the phone. Understands commands, asks clarifying follow-ups, holds context across the entire candidate lifecycle.
Sourcing, outreach, interview scheduling, rejection handling, status updates, manager reports, offer drafting, reference checks and more.
Detects the candidate's language from the first message and switches automatically. Outreach, interviews and offers in the candidate's native language.
Vector index over your full candidate base, message history and hiring decisions. Zero context-switching, no "checking my notes".
Every action ships with an audit trail: what was done, why, which candidate signals informed it. GDPR Article 22 compliance built in.
Frame the task as you would to a teammate: "find three product managers with marketplace experience and book them for Tuesday".
Blade doesn't return a CSV and walk away. It writes, calls, schedules, follows up and keeps the team posted as things move.
After every stage you get a tight summary: per-competency scoring, risk flags, hire/no-hire recommendation. The judgement call stays human.
Source: Production p95 latency on talent-search index, 2025
Source: HRBlade product spec, 2025
Source: Internal benchmark across pilot deployments, 2025
Early-stage startups where founders run hiring themselves. Blade absorbs sourcing, outreach and scheduling so founders only show up for the high-signal conversations.
Retail, support, warehouses. Hundreds of candidates simultaneously, each getting a personalized conversation — nobody falls through the cracks.
Hiring across multiple time zones and offices. Blade resolves availability and books interviews without manual time-zone juggling.
A chatbot answers questions on a script. Blade is goal-directed: hand it the task "find and engage three candidates" and it picks the source, writes outreach, schedules, and reports back. Bots react. Blade acts.
Calls candidates itself. <500 ms response latency, full screening, real-time competency scoring.
Your talent database is a graph, not a list. Find hidden connections, skill gaps and internal-mobility paths.
Multi-agent AI simulates real team dynamics — before you hire, promote, or reorganize.
