Sherpa is an AI-powered Applicant Tracking System (ATS) with an integrated AI recruiting agent. Recruiters interact with Sherpa using natural language to post jobs, search candidates, launch sourcing campaigns, schedule interviews, and manage hiring pipelines — without forms or menus.

How does Sherpa's AI agent find candidates?

Sherpa searches your existing candidate talent pool using semantic similarity and ranks results by relevance to the role. It can also launch AI-driven sourcing campaigns that automatically find matching profiles on LinkedIn, build shortlists, and add candidates to your pipeline in the background.

What calendar systems does Sherpa integrate with?

Sherpa integrates with Google Calendar, Microsoft Outlook, and Apple Calendar via OAuth. It checks availability, suggests interview time slots over a two-week window, avoids scheduling conflicts, and sends calendar invites to all participants automatically.

How does Sherpa protect candidate data and privacy?

Each company on Sherpa has its own isolated data scope and vector store — no data is shared between companies. Sherpa uses a stateless AI architecture so conversation history is stored in your own database, not on OpenAI's servers. Resumes are processed with PII detection and redaction via Microsoft Presidio.

Can Sherpa post jobs to LinkedIn?

Yes. Sherpa posts jobs to LinkedIn via the Unipile API integration. Jobs can also be distributed to multiple job boards through standardized XML feed generation.

What resume formats does Sherpa support?

Sherpa parses resumes in PDF, Word (.docx, .doc), JPEG and JPG images (via Tesseract OCR), plain text, and Markdown formats. It extracts skills, experience, education, and contact information automatically.

Does Sherpa support voice input for the AI agent?

Yes. Sherpa integrates OpenAI Whisper for audio transcription. Users can send voice messages to the AI agent, which are automatically transcribed and processed as text commands.

What is an AI sourcing campaign in Sherpa?

An AI sourcing campaign is an automated background job where Sherpa's AI finds a specified number of matching candidates on LinkedIn for a given role and location. The recruiter simply says 'Find 10 senior engineers in Montreal' and Sherpa handles the search, profile extraction, and pipeline addition automatically.

What is Sherpa's Model Context Protocol (MCP) support?

Sherpa implements MCP servers for calendar integration (Google, Outlook, Apple) and LinkedIn profile scraping. This allows external AI agents and tools that support MCP to connect to Sherpa's capabilities in a standardized, secure way.

What languages does Sherpa support?

Sherpa supports English, French, and Spanish. The AI agent responds in the user's language automatically.

THE FUTURE OF TALENT ACQUISITION

Sherpa is your new AI recruitment assistant

Sherpa is your AI-powered recruitment assistant. It helps you post jobs, source candidates from LinkedIn, score and rank applicants, schedule interviews with calendar sync, and manage your hiring pipelines — all through natural language commands. No manual data entry required.

Schedule A Demo

Sherpa — AI Agent

Thought for 4s

get_upcoming_interviews list_applicants

Good morning, Sophie! Here's a quick overview:

📅 1 interview today — David Nguyen at 3:00 PM.
📥 5 new applications since yesterday.
🚀 2 sourcing campaigns active — 43 new profiles this week.

What would you like to work on?

09:02 AM

Create a job post for a Senior Full-Stack Engineer. Remote, $90K–$110K. Strong React and Node.js skills required.

09:04 AM

Thought for 3s

validate_job_title create_job_post

Done! Your job post is now live:

Senior Full-Stack Engineer
📍 Remote (Canada) · 💼 Full-time · 💰 $90K–$110K

Published on your career site and distributed to connected job boards. Want me to launch a sourcing campaign to find candidates?

09:04 AM

Yes, launch a sourcing campaign. Target Canada, focus on LinkedIn and job boards.

09:05 AM

Thought for 5s

handle_sourcing_campaign

Starting candidate search.

First candidates already identified:
· Sophie Beaumont — Toronto · React, Node.js · 94% match
· Marc-André Pelletier — Montréal · React, Node.js, AWS · 91% match
· Lena Clarke — Vancouver · TypeScript, GraphQL · 87% match
· Amir Taheri — Ottawa · Node.js, Redis · 84% match

Would you like me to add them to the pipeline?

09:05 AM

Reduce manual recruiting work without compromising oversight or quality.

Sherpa is your AI recruitment assistant that helps you manage job posting, candidate sourcing, resume screening, and interview scheduling. Your team stays in full control of the pipeline — from first application to offer — using plain language commands, with visibility at every step.

A Complete Recruiting Platform
Enhanced by an AI Agent

Sherpa combines core ATS functionality with AI-powered assistance to support structured, compliant, and scalable hiring operations.

Hiring Pipelines

Structured Hiring Pipelines

Manage candidates through configurable pipeline stages that support consistent evaluation, collaboration, and reporting across teams.

Applied 2

SB

Sophie B.

0 d

0

React Node.js

AT

Amir T.

1 d

0

Node.js

Screening 2

MP

Marc-A. P.

4 d

2

React AWS

DN

David N.

3 d

1

Python

Interview 2

FT

Fatima T.

Mar 25

10:00

7 d

3

React

KB

Kevin B.

Mar 27

14:00

6 d

1

Node.js

Offer 1

JR

Jonathan R.

12 d

4

React

Resume Review & Collaboration

Centralized Resume Review and Collaboration

Review, annotate, and share candidate feedback directly within the platform, ensuring alignment across recruiters and hiring managers.

Candidates

SB

Sophie B.

Interview

MA

Marc-André P.

Screening

LC

Lena C.

Applied

AT

Amir T.

Applied

Resume: Sophie Beaumont

Download

Sophie Beaumont

Toronto, ON · [email protected] · +1 416 555 0192

Experience

Senior Full-Stack Engineer — Shopify

2020 – Present

Led migration of core checkout to React + Node.js microservices. Reduced p95 latency by 40%.

Full-Stack Developer — Lightspeed

2017 – 2020

Built merchant-facing dashboard using TypeScript and PostgreSQL.

Data Protection & Compliance

Privacy-First and GDPR-Aligned

Sherpa is built with data protection principles at its core, supporting GDPR-aligned workflows and responsible handling of candidate information.

Data Protection Officer (DPO)

If your organization is required to appoint a DPO under GDPR Art. 37, enter their contact information here.

DPO Name

DPO Email

DPO Phone

Privacy Policy

Privacy Policy URL

Data Retention Policy

Retention Policy Description

Unsuccessful applications: 6 months · Talent pool: 2 years · Hired: duration + 7 yrs

Withdrawn applications: deleted within 30 days

GDPR Requirements

When is a DPO required?

Under GDPR Art. 37, you must appoint a DPO if:

You are a public authority
Core activities require large-scale monitoring
You process special categories of data

Candidate Rights

Right of access (Art. 15)
Right to erasure (Art. 17)
Right to portability (Art. 20)

AI-Driven Candidate Insights

AI-Assisted Candidate Evaluation

Sherpa anonymize and analyzes resumes to surface relevant insights, helping teams review candidates more efficiently while maintaining human oversight.

Sophie Beaumont Senior Full-Stack Engineer

Strong React and Node.js background with 6+ years at Shopify. Led high-impact migrations, excellent performance track record. Salary expectations align with range. Highly recommend advancing to technical interview.

✓ Recommended

S

Impressive profile. Her Shopify experience is exactly what we need. Would like to see a coding challenge before final decision.

✓ Pass

Supporting Key Recruiting Workflows

Job creation and standardization

Candidate sourcing and shortlisting

Resume screening and evaluation

Pipeline management and reporting

Hiring team collaboration

Live example — Job creation & sourcing via Sherpa

Post a Senior Data Engineer role, remote, $100–$130K. Then source 5 candidates from LinkedIn.

Thought for 4s

validate_job_title create_job_post handle_sourcing_campaign

Done! Senior Data Engineer is live (Remote · $100K–$130K). Sourcing campaign launched on LinkedIn — first 5 candidates already identified:

· Emma Tremblay — Montréal · Spark, dbt · 93% match
· James Okafor — Toronto · Airflow, Snowflake · 90% match
· Priya Nair — Vancouver · Python, Kafka · 87% match

Want me to send outreach emails or add them to the pipeline?

Operational Efficiency Without Added Complexity

Reduce time spent on manual screening

Improve consistency across hiring decisions

Shorten time-to-hire

Enable teams to scale hiring operations without increasing overhead

Sherpa supports both high-volume and specialized hiring needs.

Modernize Your Hiring Operations with Sherpa

Transform your ATS into an intelligent recruiting platform designed to support structured, compliant, and efficient hiring at scale.

Request a Demo

No disruption to existing workflows. No unnecessary complexity.

Sherpa is your new AI recruitment assistant

Reduce manual recruiting work without compromising oversight or quality.

A Complete Recruiting Platform
Enhanced by an AI Agent

Structured Hiring Pipelines

Centralized Resume Review and Collaboration

Resume: Sophie Beaumont

Privacy-First and GDPR-Aligned

Data Protection Officer (DPO)

Privacy Policy

Data Retention Policy

When is a DPO required?

Candidate Rights

AI-Assisted Candidate Evaluation

How Sherpa Supports Hiring Teams

Define Hiring Objectives

Let Sherpa Handle the Busywork

Review and Decide

Supporting Key Recruiting Workflows

Job creation and standardization

Candidate sourcing and shortlisting

Resume screening and evaluation

Pipeline management and reporting

Hiring team collaboration

Operational Efficiency Without Added Complexity

Modernize Your Hiring Operations with Sherpa

Business

Resources

Contact Us

Sherpa is your new AI recruitment assistant

Reduce manual recruiting work without compromising oversight or quality.

A Complete Recruiting PlatformEnhanced by an AI Agent

Structured Hiring Pipelines

Centralized Resume Review and Collaboration

Resume: Sophie Beaumont

Privacy-First and GDPR-Aligned

Data Protection Officer (DPO)

Privacy Policy

Data Retention Policy

When is a DPO required?

Candidate Rights

AI-Assisted Candidate Evaluation

How Sherpa Supports Hiring Teams

Define Hiring Objectives

Let Sherpa Handle the Busywork

Review and Decide

Supporting Key Recruiting Workflows

Job creation and standardization

Candidate sourcing and shortlisting

Resume screening and evaluation

Pipeline management and reporting

Hiring team collaboration

Operational Efficiency Without Added Complexity

Modernize Your Hiring Operations with Sherpa

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Business

Resources

Contact Us

A Complete Recruiting Platform
Enhanced by an AI Agent