
TE Recruit™ is a modern recruiting platform for staffing agencies, executive search firms, and independent recruiters that need an applicant tracking system and CRM without unnecessary complexity.
Built by Top Echelon, TE Recruit centralizes candidate records, company and contact data, job orders, communications, tasks, pipelines, and placement activity. Recruiters can manage business development and talent acquisition from the same system, while owners and managers gain clearer insight into activity, progress, and performance.
The platform supports configurable workflows, email sequencing, resume parsing, job posting, sourcing, reporting, and automation that reduces repetitive work. AI People Search uses semantic technology to uncover relevant candidates across related experience, skills, and job titles rather than relying only on exact keywords. It complements traditional Boolean search and is available with TE Recruit Pro.
TE Recruit connects with email, job boards, calling and texting providers, and other tools used across the recruiting technology stack. Pro customers can also use the open API to build custom integrations, exchange data between systems, and support more advanced workflows.
Guided onboarding, training, and responsive customer support are included, helping teams implement the platform and adapt it as their recruiting business evolves.
Firms can also add TE Network™, Top Echelon’s split-placement recruiter network. Its integrated Network Feed allows TE Recruit users to access shared candidates, additional job orders, and recruiter collaboration opportunities without leaving the ATS.
TE Recruit is a strong fit for recruiting businesses seeking flexible technology, practical AI, connected workflows, reliable support, and more ways to t
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CompUp is an all-in-one compensation management platform designed to help rewards teams benchmark, plan, and communicate compensation to support fair pay. By bringing all compensation data and benchmarks together, it provides valuable insights for running appraisal simulations and managing executive appraisals with ease.
Core Product Modules:
Survey Management: Centralizes the handling of all compensation surveys.
Bands: Build and securely share pay bands across functions, job families, and levels.
Simulation: Conduct budget simulations to recommend employee-specific increments.
Appraisal Cycles: Streamlined multi-level budget approvals for business units.
People Analytics: Customizable dashboards offer deep insights for data-driven decisions.
Total Rewards Portal: Show employees the total value of their compensation.
Pay Equity Management: Identify and correct pay disparities to ensure compliance.
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GLM-5.3
GLM-5.3 is Z.ai’s advanced coding and agentic reasoning model built through scaled post-training on top of the GLM-5.2 base model. The release focuses on frontier coding, long-horizon software engineering, agent tasks, cyber evaluation, and reinforcement learning at scale. GLM-5.3 improves significantly over GLM-5.2 on complex coding benchmarks, real-world engineering environments, Terminal Bench 3.0, DeepSWE, Agents’ Last Exam, and Z.ai’s internal Code Bench. The model is trained on environments that resemble real professional work, including tasks involving codebases, infrastructure, documentation, compute clusters, experiments, bottleneck diagnosis, implementation, testing, and measurable optimization. Z.ai’s post-training stack includes IndexShare for efficient long-context processing, SAO for reinforcement learning on long-horizon tasks, and slime for large-scale asynchronous training. GLM-5.3 supports three thinking effort levels, including low, high, and max, with max recommended for coding tasks. The model also demonstrates emergent cyber capabilities across vulnerability discovery and exploitation benchmarks, prompting continued safety evaluation and hardening before weights are released. GLM-5.3 can be used through the GLM Coding Plan, ZCode, Claude Code, OpenCode, and other coding agent workflows. By combining stronger coding performance, long-horizon task execution, post-training scale, cyber evaluation, reasoning effort controls, and coding-agent integrations, GLM-5.3 supports advanced developer and research workflows.
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Foundire
Foundire is a comprehensive recruitment platform enhanced by AI that integrates every facet of the hiring process into a cohesive workflow, empowering teams to tap into a global pool of over 800 million professionals. The platform automates tasks such as resume screening and ranking, facilitates adaptive AI-driven first-round interviews, and provides in-depth analysis and reports, all within a unified interface. By visually connecting job creation, candidate sourcing, resume evaluation, AI-mediated dialogues, video or voice interviews, and structured assessments, Foundire streamlines the hiring process, minimizes manual transitions, and accelerates decision-making through data-informed evaluations. Its advanced semantic parsing accurately identifies candidates' skills and experiences for effective shortlisting, while the AI interviewer engages in real-time adaptive discussions using prompts tailored to specific roles. Additionally, the platform’s multilingual capabilities ensure consistent evaluations across different regions, making it accessible for diverse hiring needs. Hiring teams benefit from detailed interview records that allow for playback and collaborative scoring, along with standardized job templates and insightful dashboards that enhance overall efficiency in the recruitment journey. This innovative approach not only simplifies the hiring process but also fosters a more strategic and informed decision-making environment for organizations.
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