TriNet acts as a co-employer, taking on legal responsibility for payroll, employment taxes, and benefits administration. This removes the administrative burden from the client company.
A unified, cloud-based platform where employees can access pay stubs, manage benefits, request time off, and complete onboarding tasks, while managers run payroll and generate reports.
Leverages AI and data tools to help clients source candidates, screen resumes, and streamline the hiring process through integrated recruiting solutions.
TriNet organizes its services and consultants around vertical markets like technology, financial services, life sciences, and non-profits, providing tailored compliance and benefits guidance.
Provides ongoing monitoring of federal, state, and local employment laws, offers guidance on compliance, and manages workers' compensation programs to help shield clients from liabilities.
Provides access to a wide range of health insurance plans (medical, dental, vision), 401(k) plans, life insurance, and other voluntary benefits through its large group purchasing power.
A fast-growing tech startup uses TriNet to instantly establish a professional HR department without hiring a large team. TriNet handles all payroll, offers competitive health benefits to attract talent, and ensures compliance as the company expands into new states. This allows the founders to focus on product development and growth while mitigating HR-related risks.
A small business with employees spread across several states partners with TriNet to navigate complex multi-state payroll tax laws, workers' compensation regulations, and varying employment standards. TriNet's expertise and systems ensure accurate tax filings and adherence to local laws, preventing costly penalties and administrative errors.
A professional services firm struggles to compete for talent with larger corporations that offer rich benefits packages. By joining TriNet's PEO, the firm provides its employees with a broad selection of high-quality, affordable health and retirement plans, significantly improving its value proposition in the job market and boosting employee satisfaction.
The owner of a small manufacturing company spends excessive time on payroll, benefits paperwork, and HR questions. By outsourcing these functions to TriNet, the owner reclaims time to focus on sales, operations, and customer service. They also gain access to on-call HR consultants for employee relations guidance.
A company with high turnover or seasonal hiring uses TriNet's integrated talent tools and platform to create efficient hiring workflows. From posting jobs and screening candidates to automating onboarding paperwork and benefits enrollment in Passport, the process becomes faster and less prone to manual error, improving the new hire experience.
Sign in to leave a review
A Cloud Guru (ACG) is a comprehensive cloud skills development platform designed to help individuals and organizations build expertise in cloud computing technologies. Originally focused on Amazon Web Services (AWS) training, the platform has expanded to cover Microsoft Azure, Google Cloud Platform (GCP), and other cloud providers through its acquisition by Pluralsight. The platform serves IT professionals, developers, system administrators, and organizations seeking to upskill their workforce in cloud technologies. It addresses the growing skills gap in cloud computing by providing structured learning paths, hands-on labs, and certification preparation materials. Users can access video courses, interactive learning modules, practice exams, and sandbox environments to gain practical experience. The platform is particularly valuable for professionals preparing for cloud certification exams from AWS, Azure, and GCP, offering targeted content aligned with exam objectives. Organizations use ACG for team training, tracking progress, and ensuring their staff maintain current cloud skills in a rapidly evolving technology landscape.
Abstrackr is a web-based, AI-assisted tool designed to accelerate the systematic review process, particularly the labor-intensive screening phase. Developed by the Center for Evidence-Based Medicine at Brown University, it helps researchers, librarians, and students efficiently screen thousands of academic article titles and abstracts to identify relevant studies for inclusion in a review. The tool uses machine learning to prioritize citations based on user feedback, learning from your initial 'include' and 'exclude' decisions to predict the relevance of remaining records. This active learning approach significantly reduces the manual screening burden. It is positioned as a free, open-source solution for the academic and medical research communities, aiming to make rigorous evidence synthesis more accessible and less time-consuming. Users can collaborate on screening projects, track progress, and export results, streamlining a critical step in evidence-based research.
AdaptiveLearn AI is an innovative platform that harnesses artificial intelligence to deliver personalized and adaptive learning experiences. By utilizing machine learning algorithms, it dynamically adjusts educational content based on individual learner performance, preferences, and pace, ensuring optimal engagement and knowledge retention. The tool is designed for educators, trainers, and learners across various sectors, supporting subjects from academics to professional skills. It offers features such as real-time feedback, comprehensive progress tracking, and customizable learning paths. Integration with existing Learning Management Systems (LMS) allows for seamless implementation in schools, universities, and corporate environments. Through data-driven insights, AdaptiveLearn AI aims to enhance learning outcomes by providing tailored educational journeys that adapt to each user's unique needs and goals.