Our science.

How we listen to biology — and why that changes everything.

Every trial begins by measuring real biological response.

We study how living systems behave over time in real environments. Our work is built on continuous measurement and biological data, so insight stays anchored in evidence, not assumptions.

This research spans interconnected systems: plants and soils, substrates and water chemistry, microbes and fungi, seaweed and marine environments, and animal–environment interactions. Each system is observed as it responds, adapts, and changes in context.

Why this changes everything: when these signals are read together, Seastar translates complex biological activity into clear, evidence-backed intelligence—so decisions remain aligned with how living systems actually function.

Plants
Substrates
Microbes
Seaweed
Biological
Soils
Water Chemistry
Fungi
Animal/Vet
Ecosystems

"Modern science will only advance when we can start to see more. Seastar helps expand that view, revealing natural signals into evolutionary knowledge to help living systems regenerate.”

Dr. Gowri Shah, head scientist at Blue Evolution

Using high-throughput biology and contextual data, Seastar identifies patterns that work with nature.

Biometric signatures

Seastar reveals how biological systems react across different concentrations, uncovering thresholds, plateaus, and intervention ranges.

Time-series dynamics

Seastar tracks how responses unfold over time, exposing trajectories, inflection points, and meaningful temporal patterns.

Resilience & stability indicators

Seastar identifies how systems recover, adapt, or degrade—capturing immediate changes and identifying longer trajectories for activity.

Interaction & bioactivity patterns

Seastar maps mineral interactions and bioactive signals to show how compounds influence each other and drive measurable biological outcomes.

From biological clarity to programs.

Run-ready programs
Clear guidance you can execute in your units.

Application guidance
How to act, when to act, and what to watch.

Expected outcomes
What should change, and how you’ll measure it.

Verification loop
Evidence that feeds the next cycle and builds confidence over time.