Fastr.ai - Comprehensive Analysis Report

Summary

Fastr.ai is an artificial intelligence (AI) matching tool founded in 2019 and headquartered in Campbell, California. Formerly known as MojoHire.ai, the company's mission is to deliver exceptional candidates to recruiters precisely when new job requisitions are created, thereby optimizing the recruitment process for efficiency and effectiveness. Fastr.ai is dedicated to moving beyond traditional keyword-based searches by employing comprehensive candidate matching, aiming to eliminate the inefficiencies of endless scrolling and keyword chasing in talent acquisition. The company plays a significant role in the HR technology industry by transforming existing Applicant Tracking Systems (ATS) and Human Resources Information Systems (HRIS) into intelligent talent matching platforms, with a strong commitment to responsible AI and bias mitigation.

1. Strategic Focus & Objectives

Core Objectives

Fastr.ai's core objectives revolve around enhancing the efficiency and effectiveness of talent acquisition through AI-driven solutions. This includes enabling smarter, faster, and fairer hiring processes. The company aims to simplify and centralize the entire recruiting process within a single tool – the existing ATS – by supercharging talent acquisition efficiency with responsible AI.

Specialization Areas

Fastr.ai specializes in contextual AI matching, which analyzes entire candidate profiles, encompassing context, synonyms, and variations, rather than just keywords. This approach significantly reduces manual sourcing time by up to 89% and accelerates candidate submission time by 92%. The company focuses on minimizing reliance on external sourcing by transforming existing ATS/HRIS into dynamic, intelligent talent matching machines, making internal talent pools more effective. Fastr.ai is also committed to responsible AI, actively mitigating bias through continuous monitoring and independent audits to ensure equitable talent matching decisions.

Target Markets

Fastr.ai primarily targets recruiters and organizations seeking to modernize their talent acquisition processes. Its solutions are designed to integrate with existing ATS and HRIS from various providers. The platform is built to help companies leverage their existing investments in HR technology by acting as an AI overlay.

2. Financial Overview

Funding History

Fastr.ai, previously known as MojoHire.ai, is an unfunded company.

3. Product Pipeline

Key Products/Services

Fastr.ai's primary offering is an AI matching tool that serves as an intelligent overlay for existing ATS and HRIS.

Fastr.ai Agent: This flagship product aims to drastically reduce time-to-hire by leveraging advanced talent rediscovery capabilities. It intelligently resurfaces qualified candidates from past applicant pools and internal databases that traditional ATS systems often overlook. Simultaneously, it can source from millions of external professional profiles across leading talent networks and integrate this data directly into the existing ATS.
Development Stage: Actively developed and integrated with client systems.
Target Market/Condition: Recruiters and talent acquisition teams looking to maximize their existing talent pools and integrate external sourcing within their ATS.
Expected timeline: Immediate value, with results seen within weeks of implementation.
Key features and benefits:
Contextual AI Matching: Analyzes full candidate profiles beyond keywords for smarter, more precise recommendations.
Latent Semantic Matching: Replaces keyword-based searching for faster and more ethical talent discovery.
Talent Rediscovery: Unearths qualified candidates from past applicants and internal databases, reducing reliance on new sourcing.
External Sourcing Integration: Sources from external professional profiles and integrates data directly into the ATS.
Reduced Manual Sourcing Time: Up to an 89% reduction in manual sourcing effort.
Accelerated Candidate Submission: 92% speed improvement in surfacing best-qualified candidates.
Responsible AI: Ongoing bias monitoring and third-party audits embedded in the hiring process to ensure fairness.

4. Technology & Innovation

Technology Stack

Fastr.ai stands out with its proprietary AI matching technology that comprehensively analyzes candidates and job descriptions for precise hiring recommendations.

Core Platforms and Technologies:
Contextual AI Matching: Goes beyond keywords to understand the entire candidate profile, including context, synonyms, and variations, ensuring more accurate matches.
Latent Semantic Matching: A methodology designed to replace traditional keyword-based searching, allowing recruiters to find talent faster without compromising quality or ethics.
Structured Ontologies: Utilizes a mindset-first approach built on Structured Ontologies to facilitate the creation of diverse and high-performing teams.
"Human-in-the-Loop" AI: The AI functions as a "relevance lens," not a replacement for recruiters. It calibrates candidate relevancy as a continuous variable, refining its Neural Prioritization based on human recruiter feedback.
Talent Rediscovery Capabilities: Leverages advanced AI to resurface qualified candidates from prior applicant pools and internal databases that typical ATS systems might overlook.
External Sourcing Integration: Capable of simultaneously sourcing from millions of external professional profiles across major talent networks and integrating this data directly into existing ATS.

Proprietary Developments: Fastr.ai claims to use patented AI Matching technology.

5. Leadership & Management

Executive Team

Renee La Londe: Founder of MojoHire, the company previously known as Fastr.ai. An executive with itD, a long-standing partner and customer of Fastr.ai.
Brion Lau: Co-Founder of MojoHire and Vice President of Growth, Marketing, & Operations.
Spencer Liu: Leads the Product team at MojoHire.ai. Spencer has a background in product strategy and design, including creating the first online rich media advertising display and founding multiple SaaS startups.

Recent Leadership Changes

Cecil Plummer previously served as CEO of Fastr.ai, an HR Tech startup.

6. Talent and Growth Indicators

Hiring Trends and Workforce

As of July 24, 2024, Fastr.ai (formerly MojoHire.ai) had an employee count of 29.
Current open positions associated with itD, a partner and customer of Fastr.ai, that are powered by Fastr.ai's technology, include:
Recruiter/Account Support (Hyderabad, India)
Data Analyst (Remote, Phoenix, AZ)
Project Manager (Hybrid, San Jose, CA)
Customer Success Manager (Remote, Phoenix, AZ)
ML Engineer (Los Angeles, CA)

Company size and expansion metrics

Fastr.ai's approach of integrating with existing ATS/HRIS points to a growth strategy focused on expanding its reach by enhancing current HR tech stacks rather than replacing them entirely, suggesting scalability through partnership and software overlay rather than large-scale direct operational expansion in every client's location.

7. Social Media Presence and Engagement

Digital Footprint

MojoHire.ai, the previous name for Fastr.ai, has a presence on X (Twitter) and Facebook.
Fastr.ai also has a website where it outlines its mission, products, and responsible AI practices.

9. Competitive Analysis

Major Competitors

Fastr.ai operates within the competitive landscape of AI recruiting tools. Key competitors offering AI-powered solutions for sourcing, screening, engagement, and talent management include:
HiPeople: Automates reference checking to extend candidate information.
Dayforce: A cloud-based single application for Human Capital Management (HCM).
SeekOut: A recruiter-friendly tool for sourcing passive candidates with diversity filters and contact information.
Phenom Applied AI: Offers AI-powered talent experience solutions.
Braintrust AIR: An all-in-one hiring solution with AI to reduce hiring time, cost, and effort.
MokaHR: An end-to-end AI-powered recruitment platform, emphasizing speed, accuracy, and compliance, particularly for enterprise and multinational hiring across Asia-Pacific.
SmartRecruiters: A cloud-based talent acquisition suite for large enterprises, with growing AI features like SmartAssistant for candidate matching.
Workable: An all-in-one recruiting platform with ATS functionality, AI-powered features like resume parsing and screening, and sourcing tools.
HireEZ: An AI talent sourcing platform with AI-driven candidate sourcing, resume screening automation, and automated outreach.
Paradox (Olivia): Uses an AI chatbot for high-volume candidate engagement and scheduling.
Eightfold: An AI platform for hiring, internal mobility, and upskilling.
Greenhouse: A leading ATS with AI-powered features like "instant candidate summaries" and interview plan generation.
ActivTrak: A cloud-native workforce intelligence platform that provides insights for employee monitoring, productivity, and performance; shares categories in common with Fastr.ai in "Talent Intelligence."
Datapeople (by Payscale): Helps teams write job descriptions proven to attract more qualified and diverse candidate pools; shares categories in common with Fastr.ai in "Talent Intelligence".
iMocha: Reduces time and effort in pre-employment skill assessment; shares categories in common with Fastr.ai in "Talent Intelligence".
Oorwin: Offers various AI-powered staff solutions.

10. Market Analysis

Market Overview

The talent acquisition market is currently undergoing a significant transformation due to the increasing integration of AI tools. This shift is driven by labor shortages, high turnover rates, and the imperative to streamline time-intensive manual recruitment processes. Companies are increasingly investing in technology to enhance the quality of hires, with nearly 60% of organizations identifying this as a key strategy. The global talent acquisition technology market is projected to experience a Compound Annual Growth Rate (CAGR) of 6.1% over eight years. The primary focus is on making recruiting faster, fairer, and more effective, with AI impacting various aspects such as candidate sourcing, screening, engagement, bias reduction, and predictive analytics for talent forecasting.

11. Strategic Partnerships

Fastr.ai strategically integrates with established Applicant Tracking Systems (ATS) and Human Resources Information Systems (HRIS) such as Greenhouse, Lever, SAP, WorkDay, and Oracle. This allows Fastr.ai to transform these systems into intelligent talent matching platforms.
itD: A leading digital transformation company, headquartered in Campbell, California (the same as Fastr.ai), is a notable partner and customer. itD leverages Fastr.ai to enhance its talent sourcing and matching capabilities, as evidenced by open positions on the itD careers page explicitly stating "Powered by Fastr." RR Donnelley, a global provider of marketing and business communications, has also chosen Fastr.ai to optimize its talent acquisition process.

12. Operational Insights

Fastr.ai distinguishes itself through an "ATS-First" strategy, operating as an AI overlay on existing HR technology stacks rather than requiring a complete system replacement. This approach minimizes costly disruptions and aims for high user adoption due to recruiters' familiarity with their current systems. The platform centralizes internal and external talent data, facilitating quicker talent discovery and the presentation of qualified candidates for open roles. This operational model significantly reduces manual sourcing time and enhances recruiter productivity, allowing them to focus on strategic partnerships with hiring managers instead of administrative tasks.

13. Future Outlook

Strategic Roadmap

Fastr.ai positions itself as a leader in the AI-powered future of talent acquisition. The company's strategic roadmap includes:
Building Diverse Talent Pools: Enabling organizations to cultivate richer, more diverse talent pools within their existing ATS, reducing reliance on expensive external sourcing licenses.
Transforming ATS into Proactive Talent Engines: Continuously evolving existing ATS systems into proactive talent engines for long-term talent pipelining and fostering relationships with potential candidates. This strategy is anticipated to lead to reduced time-to-hire and higher offer acceptance rates.
Commitment to Responsible AI: Maintaining and strengthening its commitment to responsible AI through embedding ethics into talent strategy and undergoing third-party audits for bias mitigation, thereby building trust and ensuring fair hiring decisions.
Continuous Platform Development: Ongoing development will focus on enhancing proprietary features such as contextual AI matching, talent rediscovery, external sourcing capabilities, and responsible AI practices.
Expansion Opportunities: By integrating seamlessly with diverse ATS, Fastr.ai can tap into a broad market of companies looking to enhance their existing HR tech without a full overhaul.