Let’s be honest: HR and recruiting were never supposed to feel like a never-ending game of calendar Tetris mixed with resume roulette. Yet here you are—drowning in CVs, chasing candidates who ghost, and explaining (again) why finding the right candidates takes time.
Scan global talent pools 24/7 to surface the best matches instantly.
Review resumes in seconds, highlight hidden strengths, and eliminate bias.
Stop losing candidates to back-and-forth emails—AI books interviews automatically.
Real-time updates and Q&A that keep candidates engaged and your brand loved.
Track your hiring pipeline, monitor diversity metrics, and unlock hidden talent.
Stay in the loop with stories from our team, success cases from our clients, and news on what we’re building behind the scenes. Whether it's a deep dive into the latest in AI, a behind-the-scenes look at a real-world implementation, or product updates we’re proud of — here’s what’s been happening lately.
AI is speaking. The question is: Does it sound like you? TL;DR — Custom AI voice models help businesses create consistent, brand-aligned voice experiences across virtual assistants, chatbots, and customer support. This guide explores how voice branding drives trust, recognition, and differentiation—plus how to implement and optimize synthetic voices ethically using voice cloning, TTS, and neural speech technologies. Voice is your brand—own it.
Think about the last time you spoke to a digital assistant. Now, imagine that this assistant truly understands you and responds naturally in your language. What if it even acts on your behalf? But before you picture a sudden robot takeover, let's clarify: this is not about replacing your human touch. This is the rapidly advancing reality of AI voice agents. Continue reading to find out if your business can leverage voice agents.
An introduction to LLM guardrails The capacity of the latest Large Language Models (LLMs) to process and produce highly coherent human-like texts opens up a large potential to exploit LLMs for a wide variety of applications, like content creation for blogs and marketing, customer service chatbots, education and e-learning, medical assistance and legal support. Using LLM-based chatbots also has its risks — recently, many incidents have been reported, like chatbots permitting to buy a car for 1$ , guaranteeing airplane ticket discounts , indulging in offensive language use, providing false information, or assisting with unethical user requests like how to build molotov cocktails . Especially when LLM-based applications are taken in production for public use, the importance of guardrails to ensure safety and reliability becomes even more critical.
