
2
2
Spain
8+ years of experience
Hi, Iโm Francisco Otazo, a passionate technologist and AI enthusiast with over 17 years of experience in the tech industry. Over the years, Iโve cultivated deep expertise in AI development, programming in Python, and building applications using Java, Kotlin, and Swift. Iโve worked across diverse projects and challenges, pushing the boundaries of what intelligent systems can do. At LabLab.ai, Iโve participated in 2 AI hackathons, submitting innovative solutions such as Agora (a real-time negotiation coach) and HiredMind (an AI-powered hiring agent). These experiences sharpened my skills in rapid prototyping, working under constraints, and collaborating with cross-disciplinary teams. Iโm driven by a vision: to build systems that empower people, augment decision-making, and bridge the gap between ideas and real impact.

Step into any high-stakes meeting with an unseen advantage. Our platform is a real-time negotiation coach designed specifically for service providers and clients who need to build trust and close deals effectively. It operates on a simple yet powerful premise: to win a customer, you must understand the conversation as it happens, not after. Unlike services that offer delayed, after-the-fact transcripts, our platform provides a dynamic, live transcription of the entire meeting. As you present your service, your words appear on the screen; as your potential client responds, their words are captured and attributed in real-time. This creates a clear, immediate record of the dialogue, ensuring no detail is missed. This live transcript becomes the fuel for our intelligent coaching engine. The AI doesn't just listen; it analyzes the nuances of the conversation from both you and your customer. It identifies key phrases, sentiment shifts, and pivotal moments. Based on this analysis, it delivers discreet, in-the-moment tactical insights directly to you. These are not generic tips; they are actionable recommendations tailored to the live conversation, helping you refine your pitch, counter objections before they solidify, and steer the conversation toward a successful outcome. Crucially, this entire system is platform-agnostic. It operates seamlessly in the background, whether your meeting is on Google Meet, Zoom, or any other browser-based platform. By listening to the audio from any tab, it ensures your strategic co-pilot is always with you. The goal is to empower you to move beyond simply presenting and begin truly persuading, ensuring every word you say builds the confidence and rapport that makes a customer feel they have made an excellent investment.
21 Sep 2025

To solve the above problem, an automated system is needed powered by artificial intelligence to automate the entire hiring process and resolve all the complexities to make it simple for the organization to hire the perfect candidate for their job position. This system will work as a Virtual Hiring Agent that can automate the workflows, react, and decide according to the given required conditions. This is an AI Powered Hiring Application that can handle all the steps involving the hiring process. This application will handle multiple AI Agents workflows to complete all the necessary steps involved in it. Features Companies will register in our system. Creates a job description and posts a job position in our platform using an AI Agent. Companies will advertise their job posting using our generated url in which the candidate can start their recruitment process. In the generated url, there will be steps involved to hire that candidate. Each step will be handled by an AI Agent. First step will be to get the resume and all the necessary info from the candidate. Once the candidate has submitted the resume, an email will be sent to the candidate for successful application. Meanwhile, a separate agent will be responsible for screening the application, and resume. If selected, then the user will get an invite through email to complete the next steps. Second step will be the interview process that will be given to the candidate in that email. This AI Agent will be responsible for taking the interview in the form of either text or audio (decide later). This will submit a score of that to the backend. Then another AI Agent will be responsible for analyzing the scores between the candidates. The top candidates will be selected to send an offer letter.
8 Jul 2025