Unlock the power of enterprise prompt engineering with Gen AI to automate compliance workflows and deliver FDA/GxP-grade validation reports in days instead of weeks. This blog shows how enterprise prompts designed for engineering managers can transform validation processes, enforce regulatory guardrails, and produce audit-ready documentation at scale. Learn why enterprise Gen AI for engineering managers is the next frontier in regulated industries, and how mastering enterpris

Krysta Marie Svore, Technical Fellow & VP at Microsoft Azure Quantum, is shaping the future of scalable fault-tolerant quantum computing. From Q# programming to Azure Quantum cloud, her leadership bridges algorithms, error correction, and hybrid models. Featured in the Quantum 100 report, Svore’s vision is transforming quantum computers from theory into enterprise-ready reality. #QuantumComputing #Quantum100

From coining Neven’s Law to leading Google’s 2019 quantum supremacy milestone, Hartmut Neven has defined the pace of the quantum revolution. As founder of Google’s Quantum AI Lab, he reframed quantum computing as an engineering roadmap — not just a physics dream — and pushed experiments from error correction to time crystals and wormholes. His leadership has transformed how enterprises, investors, and scientists plan for quantum’s future. This is part of Quantum100

Generative AI is transforming technical documentation across the HEMV (Heavy Earth-Moving Vehicle) lifecycle—from CAD models and BoMs to SOPs and compliance reports. This blog explores 20+ use cases where GenAI reduces documentation time by over 60%, improves accuracy, and enables real-time updates across PLM and ERP systems. Discover how engineering, manufacturing, and quality teams can streamline operations, reduce errors, and drive cost efficiency using AI-powered workflow

Generative AI is transforming drug optimization by accelerating analog design, improving ADMET predictions, and automating synthesis planning. Traditionally taking 12–24 months, this phase can now be shortened by up to 50%, with cost savings of 30–40%. From analog generation to compound prioritization, Gen AI enables faster, smarter decisions—empowering teams and reshaping the future of drug development.

This blog explores how Docking Reports are generated during in silico compound screening—who uses them, when they’re needed, and why they’re critical. It covers the shift from manual workflows to Gen AI-powered automation, detailing how Agentic AI handles parsing, summarizing, and visualizing results. By integrating with tools like AutoDock and Glide, it ensures fast, compliant, and explainable report generation.

In silico screening powered by Gen AI is transforming drug discovery by enabling rapid, cost-effective analysis of millions of compounds. Tools like Pitchworks’ Conversational Docking Assistant (CDA) streamline docking workflows, automate reporting, and enhance interpretability. With secure, compliant infrastructure, CDA reduces analysis time by 70%, supports HIPAA/FDA standards, and accelerates early-stage decision-making in pharma and biotech.

The Gen AI in Manufacturing Report 2025 by Pitchworks is a definitive industry blueprint, unlocking the power of generative AI to transform modern manufacturing. Authored by veteran technologist Murali Sundaram and backed by Pitchworks VC Studio’s $8M innovation commitment, this 80+ page report presents a bold, research-backed roadmap for deploying generative AI across product design, predictive maintenance, supply chain optimization, quality control, and autonomous systems.

Generative AI is transforming drug discovery by reducing lead compound identification timelines from years to weeks. Platforms like Pitchworks' enable rapid molecule generation, multi-objective optimization (potency, ADMET, feasibility), and real-time feedback through active learning. This human-AI collaboration accelerates R&D, lowers costs, and boosts precision—making drug development faster, smarter, and more scalable than ever before.

Many enterprises struggle with GenAI adoption due to vague use cases, weak leadership support, and poor change management. Pitchworks VC Studio offers a 9-stage GenAI Strategy Roadmap designed to solve this—starting from leadership alignment and AI training to use case mapping, implementation, and continuous upskilling. This framework ensures enterprises unlock ROI-driven, scalable, and sustainable AI impact across functions.

Launched Pitchworks' Co-Pilot Program to empower health tech startups in India through collaboration and co-building innovative solutions.

254 startup closed in Q1 of 2024, more VC are continuing funding winter, CVC and Family funds are the way ahead

Reasons for early stage health tech startup failures, Gain insights into common pitfalls, strategic missteps, and essential lessons to avoid

How to effectively start market research in the health tech industry by defining objectives, crafting problem statements, selecting methods,