SIMAN LABS | AI & Tech Brief 🚀 Trajectory Raises $45M Series A to Make AI Model Training More Accessible AI startup Trajectory has raised $45 million in Series A funding led by Sequoia Capital, with participation from Nvidia, Bessemer Venture Partners, and Bain Capital Ventures, reaching a reported valuation of $300 million. The company is building a continuous learning and post-training platform designed to help AI models improve through real-world feedback and professional expertise. Key Highlights: 🔹 Democratizing AI Training: Trajectory aims to make model optimization accessible to professionals in law, healthcare, finance, and other industries without requiring machine learning expertise. 🔹 Continuous Learning: Its platform collects real-world performance data and user feedback, enabling models to adapt to specific business workflows through iterative post-training. 🔹 Industry Adoption: Companies including Harvey, Rogo, Decagon, Mercor, and Nvidia are among its reported users and partners. 🔹 Human-in-the-Loop: Rather than relying entirely on autonomous self-improvement, Trajectory emphasizes human-defined performance standards and expert feedback to guide model evolution. 📌 Industry Perspective As AI moves beyond general-purpose applications into specialized professional workflows, post-training is emerging as a critical layer of AI infrastructure. The next competitive advantage may not come solely from building larger models, but from making models continuously learn, adapt, and perform reliably in real-world environments. The future of AI is not just about intelligence — it’s about practical expertise. #SIMANLABS# #AI# #ArtificialIntelligence# #LLM# #MachineLearning# #Tech#