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Organoid Cytomorphic Intelligence Services

Overview


Healthcare Services, Wellness & Biotech
Arlington, Virginia, United StatesPosted 6 days agoDeadline: May 20th, 2026

Fit Score


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SUMMARY


The government seeks vendors to develop advanced biological processing units with learning and sensing capabilities for use in edge computing environments. Solutions must outperform current methods and integrate biological sensory systems for applications such as drone-based chemotaxis.

KEY REQUIREMENTS


BUDGET

Verified

$36,000,000

CONTRACT DURATION


42 months

TIMELINE


Proposer Workshop: April 10th, 2026

Questions Due Date: May 7th, 2026

Abstracts Due Date: May 20th, 2026

Oral Proposal Package Due Date: Estimated 24 days after selection notification

QUESTION DEADLINE


May 7th, 2026

Issuing Agency


Defense Advanced Research Projects Agency

Organization overview and procurement intelligence available on paid plans.

DESCRIPTION


The government authority in Arlington, Virginia is seeking vendors to provide organoid cytomorphic intelligence services aimed at building advanced biological processing units (BPUs). These BPUs must be capable of learning retention and integrating Sense–Compute–Action functions, enabling unconventional biological computation that can both complement and surpass traditional in silico computing and sensing—especially in austere or electronically contested edge environments.

Vendors are expected to develop novel BPUs with enhanced complexity and the ability to retain learned functions beyond current state-of-the-art systems. Suggested approaches include creating BPU architectures inspired by natural brain regions, integrating memory and learning neural circuits, enhancing synaptic connectivity and plasticity via cell composition optimization, and tuning metabolic processes through genetic modification or pharmacology. BPUs will be evaluated for learning and memory capabilities in a government-provided virtual test environment benchmarked against human abilities and conventional machine learning algorithms.

Proposals must detail plans to characterize both the computational learning and memory attributes at cellular and functional levels, in addition to meeting program metrics. The program will also develop biological wetware architectures that connect a biological odorant sensor array with a BPU to enable drone-based chemotaxis as part of a biological Sense–Compute–Action system.

Source attribution

This Settle analysis is based on the issuing organization’s public RFP listing.

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