SACRAMENTO, Calif. , Feb. 9, 2026 /PRNewswire/ —
Dear Shareholders,
We have completed our AI platform in the last 12 months and now it is commercial. Negotiations are moving forward with several pharmaceutical and drug discovery companies. Partnerships and collaborations are imminent. Why? -because Lunai Bioworks operates a closed loop AI system that is truly disruptive (and complementary) to current discovery platforms and that turns complex biology into real-world action in several ways with less cash burn and new revenue streams. Our Augusta platform starts with real biological signals from patients — genetic, molecular, and clinical data — and uses artificial intelligence to reverse-engineer diseases into biologically defined subgroups. Instead of asking, “What drug hits this target?” Lunai asks, “What biology is actually driving this subgroup of patients?”
Then comes the part most AI companies can’t do.
Lunai rapidly tests its predictions in living systems using high-throughput in vivo models. That means its drug ideas aren’t just computer outputs — they’re biologically validated early, before hundreds of millions of dollars are spent. Our approach is designed to shorten pharmaceutical companies’ current drug discovery programs from over 2 years to under a year, same them substantial money, and increase the probability of success.
In short:
Better data → smarter targets → earlier proof → lower risk.
Lunia has established three revenue driven engines
A) AI Drug Discovery: enabling pharmaceutical companies to understand disease biology and design better clinical trials, so promising therapies reach patients faster. We have established new fully owned company technologies for royalty-based partnerships. While we have been focused on CNS diseases today, we launched a new AI oncology pilot with a clinical-stage partner using our Augusta platform to re-analyze data from a randomized Phase 2 metastatic colorectal cancer survival trial—work that can expand into a broader commercial relationship. We validated the foundation for this project in our work for Northwell Health and J&J (Janssen) using real-world hospital data from severe COVID-19 patients to show that different patient subgroups experience very different outcomes. This program demonstrated that analyzing large clinical datasets can reveal which patients are most likely to benefit from specific treatments, reinforcing the value of Lunai’s precision-medicine approach.
B) AI Bio-Defense discoveries: using AI to detect emerging chemical/biological threats, understand their effects quickly, and help identify effective antidotes and countermeasures. This initiative applied our same technology stack in reverse. We already understand chemical toxicity which we use to screen out potential new drugs. For biodefense we can use our data in combination with other large data sets to identify new chemical weapons, test antidotes in our closed loop in vivo system, and can then identify countermeasures. Our goal is to monetize this program through government contracts.
C) Immunotherapy: we reported that its next-generation allogeneic dendritic cell (DC) immunotherapy achieved complete regression of both primary and metastatic pancreatic tumors in preclinical humanized mouse models, and that these results were published in a peer-reviewed Brief Report in the journal Vaccines (Nov. 2025). We have recieved an LOI to license the therapy and are currently in discussion with several other companies for licensing other parts of our oncology platform.
Path A: AI Drug Discovery — making clinical trials smarter and more likely to succeed
Despite billions spent every year, drug development still fails more than it succeeds — especially in brain diseases like Alzheimer’s, Parkinson’s, alcohol use disorder, and epilepsy. The traditional model is slow, expensive, and based largely on educated guesswork. Companies pick a target, design a drug, and hope it works in humans years later. Most don’t. The reason that no drugs have worked for what call Alzheimer’s and Parkinsons is that the “one-size-fits-all” drugs were doomed from the start because the assumption was wrong. Each category of these CNS diseases is defined by a collection of different biological subtypes. By standardizing human data, and then using AI to reverse engineer the disease, Lunai traces the biology of each subtype to the related genes and then discovers potential drugs of interest and test them in living systems. We did this for Supernus Pharmaceuticals (NASDAQ: SUPN) by identifying the right epilepsy subgroup for their lead candidate (SPN_817) phase 2 clinical trial. We have recently announced three distinct types of Parkinsons and are working towards commercial deals in Parkinsons and Alzheimer’s.
We announced today that we are also applying our drug discovery platform to cancer through the launch of a new oncology collaboration with a clinical-stage partner to analyze data from a randomized Phase 2 metastatic colorectal cancer trial. Cancer trials are expensive and difficult, and many fail late because the right patients weren’t identified early enough. What we’re doing in the program announced today is straightforward to explain:
We’re using Augusta to learn more from existing clinical trial data—combining patient clinical data, AI-derived imaging signals, and long-term outcomes—to identify which patients benefit most from a new colon cancer drug and why.
Our technology platform identifies biologically meaningful subgroups that are designed to enable our partner to:

- enroll the right patients,
- choose the right endpoints,
- size trials more accurately,
- and reduce costly and time consuming late-stage risk in programs targeting FDA submissions.
- In healthcare: answers and tools that improve trial design and reduce development risk.
- In biodefense: answers and tools that improve prevention, readiness, response, and treatment options under pressure.
- Advance late-stage commercial discussions across clinical data analytics, precision trial design, and biology-driven discoveries.
- Finalizing biodefense funding conversations and defining the roadmap for Sentinel, Pathfinder, and CounterAct.
- Complete a big new pharma Royalty partnership program on in-house immunotherapy technologies.

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