Quantiphi Unveils Phi Labs Research and Development Hub, Accelerating Breakthroughs in Generative AI, Life Sciences, Digital Twins
MARLBOROUGH, Mass., May 28, 2025 /PRNewswire/ -- Quantiphi, an AI-first digital engineering company, today 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).
"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.
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."
About Quantiphi:
Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of business. Since its inception in 2013, Quantiphi has solved the toughest and most complex business problems by combining deep industry experience, disciplined cloud and data engineering practices, and cutting-edge artificial intelligence research to achieve accelerated and quantifiable business results. Learn more at Quantiphi.com and follow us on LinkedIn, X, formerly Twitter, and Instagram and YouTube.
Media Contact:
H. Mayes
contact.newsroom@quantiphi.com
Quantiphi Newsroom
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SOURCE Quantiphi