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Building a New Foundation for Human-Relevant Oncology Discovery

Industrializing oncology discovery through fresh human tumor spatial biology, generative AI, and lab-in-the-loop validation.

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Drug discovery is broken.

Katamaran is fixing it.

95% of oncology drugs fail in clinical development

Traditional preclinical models often fail to predict how real human tumors respond. Cell lines and animal systems miss critical features of tumor biology, including microenvironment, architecture, and context.

Conventional models often do not translate to human patients (“The Mouse Trap”)

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Al trained on this noise hallucinates better failures. Better biological data is essential for better prediction

Upto 70%

cost
reduction

Upto 30x

katamaran cost efficiency for human relevant NAMs over US competitors

faster design-to-validation

timeline

Upto 10x

$200K vs. $60K

per year advanced drug costs:
(Developed nations vs India)

Failures in clinical trials

95%

10-12

years to bring drug to the market

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50,000,000+

By the numbers

50,000,000+

people worldwide are living with cancer today.

Based on internal benchmarking assumptions comparing katamran Ai guided human relevant workflow with conventional discovery and validation flows

Katamaran Approach

Our Solution

From legacy models to human-relevant NAMs-driven drug discovery

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Gen 1
(2013-2018)

Data: 2D cell lines, mice, and public genomic datasets

Method: Historical literature mining and disconnected data layers

Outcome: Weak clinical translation

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Gen 2 (2019-2023)

Data: Generative AI applied to largely the same public datasets

Method: Structural prediction without sufficient biological context

Outcome: More computational novelty, but limited translational grounding. AI hallucinates better failures

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Gen 3 (Katamaran)

Data:  Fresh human tumor tissue, tumoroids, ex vivo tissue models, NAMs and multimodal datasets

Method: Human lab-in-the-loop AI built around real biological context, designed to evolve toward fine-tuned biological foundation models grounded in ex vivo spatial biology

Outcome: High-fidelity target, drug, and response prediction

*Modeled against conventional workflows; based on internal data and published benchmarks.

Our Solution

From legacy models to human-relevant NAMs-driven drug discovery

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*Modeled against conventional workflows; based on internal data and published benchmarks.

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Our R&D and Pipeline

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We use AI to support target selection, indication prioritization, biomarker discovery, responder hypothesis generation, and therapeutic design across small molecules and biologics.

Predict

As our platform generates more proprietary human tumor data, we use those insights to improve models, standardize assays, expand throughput through automation and microfluidics, and build toward fine-tuned biological foundation models grounded in real human tumor biology.

Validate

We generate patient-derived tumoroids and ex vivo tissue models from fresh human tumor samples to evaluate drug response in a more biologically relevant setting, preserving key aspects of tumor architecture and microenvironment.

Scale

(Lab-in-the-Loop)

(The Ex-Vivo Edge)

(Al-Driven)

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Katamaran is building a proprietary Gen 3 human-data engine for oncology drug discovery.

Our platform moves beyond public-data-only bio-AI by integrating proprietary human tumor datasets to build fine-tuned biological foundation models grounded in ex vivo human tumor data

Our Business

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Our Company

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Arun Asaithambi has been working at the intersection of AI and oncology drug discovery since 2013. As Founder and former CEO of Lantern Pharma [NASDAQ: LTRN], he helped pioneer early AI-driven drug development and is now building Katamaran’s next-generation platform.

- Arun Asaithambi, Ph.D.

   Founder and CEO

Anand Asaithambi,
Co-Founder

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Research labs

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- Arun Asaithambi, Ph.D.
   Founder and CEO

What Experts Are Saying

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Head and neck cancers are extremely common but low awareness and non-specific symptoms delay diagnosis. When caught early they have excellent cure rates. Precision therapies are becoming more crucial as a one size fits all approach is ineffective.”

-Dr. Narayana Subramaniam
Lead Consultant, Head & Neck Oncology, Aster Hospitals, Bangalore

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Our Collaborators

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Let's Get in Touch

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We’re looking for collaborators, investors, and visionary scientists. Reach out and be part of the mission.

Quick Links

Our Address

India :

Unit, #603, 6th floor, Sigmasoft tech park, Gamma block, Whitefeild, Bengaluru, Karnataka, 560066

US :

Unit 419,180 talmadge rd, Edison nj 08817

UK :

41 Clooney Terrace, Londonderry, Northern Ireland, BT47 6AP

Mail :

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© 2026 Katamaran Industries. Innovating for global health equity.

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