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Axio BioPharma and The Bioforge team up on AI biomanufacturing data access

Aug. 10, 2026
By AI, Created 12:00 UTC, Aug 10, 2026, AGP -

Axio BioPharma and The Bioforge announced a partnership to connect Axio Lattice with BioOptima AI™ so biopharmaceutical companies can use historical process data for AI-driven optimization without moving ownership or centralizing data. The collaboration targets fragmented development and manufacturing records across sites, systems and partner organizations.

Why it matters: - Biopharmaceutical companies often sit on years of process data that is hard to reuse because it lives in different systems, uses different terminology and spans multiple sites. - The partnership is designed to help teams turn that fragmented knowledge into input for AI-supported process optimization without forcing a disruptive data migration. - The approach could matter most in sponsor-manufacturing partner relationships, where neither side wants to move raw process data into the other party’s system.

What happened: - Axio BioPharma and The Bioforge announced a strategic partnership on Aug. 10, 2026. - The companies plan to connect Axio Lattice with BioOptima AI™ to make historical process data more usable for future development and manufacturing decisions. - The planned workflow keeps underlying data in its original environment and under the control of its existing owner.

The details: - Axio Lattice is a vendor-neutral coordination and translation layer for biomanufacturing data. - BioOptima AI™ continuously learns from experimental and process data and recommends which experiment to run next. - BioOptima AI™ is designed to provide value from the first experiment, even for customers with limited or no historical data. - Axio Lattice is intended to make process information comparable across laboratory information management systems, manufacturing execution systems, electronic laboratory notebooks, historians, enterprise resource planning platforms and quality management systems. - The companies said the combined workflow would let BioOptima AI™ use context created by Lattice to guide experimental decisions while the data stays where it is stored. - The partnership plan includes coordinated workflows, proof-of-concept pilots, joint customer opportunities and co-branded technical and educational content. - The companies may also collaborate on case studies, application notes, performance benchmarks and presentations. - Axio BioPharma is headquartered in Madison, Wisconsin. - Axio BioPharma also operates Axio Forge, a high-throughput non-GMP antibody lab that produces research-grade monoclonal antibodies on a 3-5 week turnaround. - The Bioforge develops BioOptima AI™ as an adaptive AI platform for strain engineering, process development and scale-up.

Between the lines: - The partnership is a bet that AI tools work better when they can learn from more than newly generated experiments. - The companies are positioning data interoperability as an alternative to centralized repositories, which can trigger ownership, security and IT concerns. - The pitch is also about avoiding a common bottleneck in biomanufacturing: valuable process knowledge that exists, but cannot be easily compared or reused.

What's next: - Axio BioPharma and The Bioforge plan to explore proof-of-concept pilots and coordinated customer workflows. - The companies are also looking at case studies and technical content to show how connected historical data can support bioprocess development. - If the collaboration advances, the next step will be demonstrating that AI can optimize processes across organizations without moving the source data.

The bottom line: - The partnership aims to give biomanufacturers a way to use historical process knowledge for AI-driven optimization while keeping data ownership and storage unchanged.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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