FAQ

Our AI handles most inquiries instantly, but our FAQ page provides quick answers to common topics. Here are some common questions and answers.

Category	Googling	Closed LLM
Speed to Insight	Requires clicking through links and reading multiple sources.	Provides direct, summarized answers instantly.
Noise Reduction	Overwhelming volume of ads, outdated info, and SEO fluff.	Delivers only relevant, vetted, and current information.
Context Awareness	No memory of your goals, role, or past queries.	Remembers context (session or long-term) to tailor answers.
Accuracy	Depends on your ability to evaluate sources.	Based on trusted, curated data and factual consistency.
Data Security	Searches can be tracked, logged, or exposed.	Private, secure, and often encrypted in enterprise-grade environments.
Consistency	Information varies across sources; can be contradictory.	Trained to provide consistent, verified outputs.
Time Savings	Minutes to hours spent searching and cross-checking.	Answers in seconds with less cognitive load.
Workflow Integration	Not integrated into tools; you switch tabs.	Can be embedded into systems, dashboards, and processes.

Category	Open LLMs	Closed LLMs
Performance	Varies by model; often needs tuning.	Highly optimized for speed, accuracy, and reliability.
Accuracy	Can fluctuate depending on setup and training data.	Trained on larger, proprietary datasets for more accurate outputs.
Security	May expose vulnerabilities if not managed correctly.	Tight control, rigorous testing, and security at scale.
Data Protection	Relies on user setup; can be inconsistent.	End-to-end encryption, strict access controls, and audit trails.
Data Privacy	Risk of mishandling without strict governance.	Closed environments ensure better compliance (e.g., SOC 2, HIPAA).
Support & Updates	Community-driven, inconsistent.	Regular updates, professional support, and SLAs.
Ease of Use	Requires dev expertise and infrastructure.	Plug-and-play solutions with intuitive APIs and dashboards.
Integration	Customizable, but complex to integrate.	Seamless integration with enterprise tools and workflows.

Category	Traditional HR	AI-Powered HR
Speed & Efficiency	Manual processing takes time (e.g., resume screening).	AI automates tasks instantly — reduces hiring time by up to 70%.
Cost Savings	High labor costs for admin-heavy roles.	AI cuts HR operating costs through automation and self-service.
Consistency	Human error and bias are common.	AI applies rules uniformly, reducing risk of bias or mistakes.
Scalability	Struggles to scale without adding more staff.	Easily scales to support growing teams and global operations.
Analytics & Insights	Limited data analysis; often reactive.	Real-time analytics enable proactive decision-making.
Candidate Experience	Delays in communication and updates.	AI chatbots and automation keep candidates engaged 24/7.
Compliance	Relies on manual tracking and expertise.	AI tools monitor regulations and flag compliance gaps.
Employee Support	Helpdesk response time can be slow.	AI-powered HRIS offers instant answers and self-service tools.

Inconsistent Accuracy and Truthfulness
- Can generate incorrect or nonsensical information called hallucinations.
Poor Reasoning and Problem Solving
- Sometimes provides inconsistent or contradictory information.
Understanding and Nuance
- May misinterpret context or user intent since it pulls information from the entire internet.
Bias and Fairness
- Can reflect and amplify societal biases in training data with offensive or inappropriate content.
- Issues with fairness and representation across different demographics.
Interaction and Engagement
- Can provide generic or predictable responses.
Explainability and Transparency
- "Black box" nature makes it difficult to understand how decisions are made.
- Lack of transparency about the data used in training.
Safety and Security
- Vulnerable to adversarial attacks and prompt injection.
- Risks of privacy violations and data leakage.