Loxo vs. Atlas

As a new entrant to the market, Atlas' platform hasn't faced the real-world stress tests of rapid scaling or sustained high-volume usage — which means their ability to maintain consistent speed and uptime as user load increases is purely theoretical.

Relying on an unproven platform introduces risks to your daily operations — downtime, bugs, and feature inconsistencies can directly impact your placements and revenue. Early user reviews mention responsiveness, but long-term stability under pressure remains unproven.

On the other hand: Loxo's decade of experience has allowed us to develop a platform capable of handling substantial growth and peak loads. Our consistent user experience and intuitive design minimize disruptions, allowing you to focus on recruiting. For these reasons and more, Loxo has been recognized as a leader by G2, including awards for "Easiest to Use" and "Highest User Adoption."

Let’s be real: Changing rectech providers is a hassle — and one that many want to do as infrequently as possible. 

Choosing Loxo means partnering with an intentional, stable, and well-funded company committed to the recruitment industry for the long haul. You can invest time and resources integrating Loxo into your workflow, confident that the platform will be there to support your growth.

Additionally: We recently secured a substantial $115 million growth investment, indicating strong investor confidence in our vision and stability. This comes after over a decade of sustainable growth while bootstrapped (!!). Put plainly: Loxo isn't going anywhere.

Our financial strength ensures continued platform development, innovation, and reliable support for our customers. 

Having launched relatively recently (and deploying features rapidly in order to maintain pace with larger competitors), Atlas’ continued success will rely on securing significant, timely capital.

AI is the buzzword-of-the-moment — but Loxo has been building its own AI for over a decade.

Atlas heavily relies on third-party AI, explicitly mentioning OpenAI. Why should that matter? Third-party dependencies like this introduce the risk of external factors beyond Atlas's control — like future price increases or API changes — potentially forcing sudden price hikes or service pauses onto users. Additionally, understanding precisely how and where your sensitive communication data is processed by these third-party AI models is crucial for security and compliance. Atlas processes significant amounts of raw communication data through these external APIs.

Loxo has its own, native machine learning — and is currently on its fourth generation of native AI. Loxo combines AI capabilities with our own vast, proprietary database of professionals and verified contact data. This provides high-quality data within our controlled environment, complementing AI-driven insights while maintaining data integrity and security.

Atlas operates with a small team (between 10-25 employees). This small size, particularly in engineering, raises questions about their capacity to build, maintain, and scale a complex, enterprise-grade platform capable of handling extensive data and user demands. There's also a lack of representation from FAANG or Forbes Top 100 company engineers on the Atlas team, suggesting limited experience in architecting systems for massive scale and complexity compared to established players.

Loxo's larger team of nearly 100 employees combines technical prowess with deep recruitment industry knowledge, ensuring our platform development is laser-focused on solving practical recruitment problems. Our robust engineering department is stacked with world-class talent from leading tech companies and the majority of our customer success team is made up of former recruiters who know intimately the challenges modern recruiters are up against. This focus translates into more relevant product updates and workflows — not just flashy features.