Quantiphi, an AI-first digital engineering company, unveiled Phi Labs by Quantiphi, the formal identity of Quantiphi’s long-standing Research and Development (R&D) hub, addressing real-world business challenges through breakthrough AI solutions.

Quantiphi’s Research and Development has been at the forefront of innovation in Generative AI, Life Sciences and Digital Twins since 2018, with a patent portfolio that underscores its commitment to future-proofing its technology. Now known as Phi Labs by Quantiphi, the R&D hub’s pioneering work has been featured in leading forums like Neural Information Processing Systems (NeurIPS) and the International Conference on Machine Learning (ICML).

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“Phi Labs embodies Quantiphi’s vision to redefine AI’s business impact,” Quantiphi Global R&D Head Dagnachew (Dan) Birru said. “By integrating cutting-edge research with practical applications, we enable our clients to navigate the evolving AI landscape with confidence.”

Phi Labs’ key achievements include:

• Technology and IP Transfers: More than 15 transfers leading to accelerators and product launches like baioniq, Dociphi and Codeaira
• Innovative Milestones: Projects ranging from Speech-to-Text for Finance, 3D-GANs for seismic imaging and advanced healthcare diagnostics, achieving up to a 90 percent reduction in processing time
• Recent Developments: From 2021 to 2024, Quantiphi filed 50-plus patents—including 30-plus by Phi Labs, secured multiple technology transfers and earned accolades through academic collaborations and publications, including being featured in the Financial Times.

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Phi Labs by Quantiphi focuses on:

• Generative AI: Advanced reasoning, agentic workflows, efficient models and intelligent document processing
• Life Sciences: Small molecule synthesis, genomics, protein engineering and pharmacovigilance
• Digital Twins: Operations optimization, digital twin agents, engineering simulation and climate risk modeling
• Quantum Computing: Quantum machine learning, hybrid quantum-classical systems

“Unlike labs driven by theory, our approach embeds innovation into enterprise environments directly, while upholding Responsible AI standards,” Birru said. “Our engineering-driven team pairs deep research with industry expertise, ensuring every solution delivers tangible business impact.”