The fastest recruiters have stopped logging into yet another sourcing dashboard. They ask their AI assistant — and expect it to reach straight into their tools. Nuralto is the connector that lets it reach into a proprietary talent database: search, match, pipeline and outreach, exposed as native actions your assistant can call.
Build the connection once and it works everywhere — Claude, ChatGPT, and any MCP-compatible assistant. No more point-to-point integrations that break when you switch models.
Add the Nuralto connector URL in Claude, ChatGPT, Cursor — or any MCP-compatible assistant or agent — and sign in. No new app to learn, no data export, no IT project.
“Staff backend engineers in Berlin with Kubernetes and an AWS cert, 8+ years, open to work.” No Boolean strings, no filters to fiddle with. The assistant understands the intent and queries the live talent database.
A ranked list with explainable match scores and intent signals (likely-to-move, open-to-work) — every candidate is a real profile from the database. Nuralto never invents people.
Open a project, drop the best matches into a pipeline, and draft personalized outreach grounded in each candidate’s real background — all without leaving the conversation.
Describe the person you need and get ranked candidates with explainable scores — hybrid semantic + keyword search over a proprietary talent database.
Paste a full JD; it’s decomposed into skills, seniority and intent, then matched against real candidates — ranked and explained.
Ask what skills, certifications and titles a role actually requires at a given company — aggregated peer intelligence, not guesswork.
Organize a search into a project and move candidates through stages — sourced → contacted → interview → offer — by asking.
Draft a short, tailored message grounded in a candidate’s real experience, ready to send.
Save a search so new matching candidates surface automatically as the database grows.
Recruiters already live in Claude and ChatGPT. Nuralto meets them there — a sentence replaces a Boolean string and a dozen filter clicks.
We index what other tools miss: certifications, education, languages, and the actual wording of past roles — not just a “skills” tag. So a search for “CCIE” or “AWS Certified” finds the people who hold it, even when it’s buried in their credentials.
Every result is a real profile with a real source. The assistant can’t hallucinate candidates — it can only return what’s in the database, with explainable match reasoning.
Built on the open Model Context Protocol. Connect once and it works across Claude, ChatGPT, Cursor, Gemini, Perplexity and agent/automation platforms like n8n — plus whatever ships next. The integration travels with you as the AI landscape shifts.
Aggregated talent-market insights and intent signals turn a list of names into a hiring decision you can act on.
Built on public professional data with opt-out respected, so you can source with confidence.
From €99/seat/month, with usage-based credits for AI search, matching and outreach — so a solo recruiter and a full team each pay for what they run. Private talent datasets and ATS integrations available for teams.
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