Drug Discovery · Agritech · AI Training Data

Unlocking nature's
intelligence.

New drugs. Climate-resilient crops. Biological AI that works.
IsoGentiX discovers, collects, and characterises Madagascar's 9,470 endemic plant species — building multi-omics datasets that give pharmaceutical teams novel drug leads, agritech programmes drought-tolerance genes unavailable anywhere else, and AI platforms the provenance-clean biological training data they cannot get from public databases. Legally collected. Specimen-level. Irreplaceable.

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9,470 Endemic species
0.03% Genomically characterised
8 Data layers per specimen
98% Unscreened by pharma
9,470+ confirmed endemic vascular plant species in Madagascar
14,356 total vascular plant species in Madagascar
3 Madagascar endemics with chromosome-level genomes in any public database
263 species with chromosome-scale reference genomes globally
6,080 endemic species with no genetic data in any public database
711 introduced species documented in Madagascar (GRIIS)

01 — The Island

160 million years of
isolated evolution.

9,470 endemic vascular plant species have evolved in complete separation from mainland Africa — generating alkaloid and terpenoid scaffolds, biosynthetic gene clusters, and stress-tolerance mechanisms that exist nowhere else on Earth. Only 3 have chromosome-level genomes in any public database. Every species name is cross-referenced against Kew Gardens, Missouri Botanical Garden, and the Global Biodiversity Information Facility.

Explore the ecoregions

02 — The Platform

Eight ways
to know a plant.

IsoGentiX field teams travel into Madagascar's most remote habitats to collect specimens from each of the 9,470 endemic species — most never visited by a research team. Each specimen is processed through eight data layers: its full DNA sequence, which genes are switched on, what chemicals it produces, its physical characteristics, the soil it grows in, its seeds and propagules, and more. Every layer is linked to a single traceable specimen ID — so a pharmaceutical team, an agritech programme, or an AI model can pull a complete biological profile of any plant, from any ecoregion, with a full legal chain back to the collection site.

See the full data architecture

03 — Provenance

The only legally
defensible pathway.

Every specimen is collected under Prior Informed Consent and Mutually Agreed Terms — the full Nagoya Protocol compliance stack. Each record is registered with the ABS Clearing-House before any data leaves Madagascar. Qualifying revenues flow back to conservation through the Cali Biodiversity Fund mechanism. The result is a fully auditable chain from field specimen to commercial licence — the only access system built to survive regulatory scrutiny in any jurisdiction.

Nagoya Protocol ABS Clearing-House Cali Biodiversity Fund EU Reg 511/2014 PIC / MAT
How Nagoya compliance works

04 — Who We Work With

Pharma. Agritech.
AI platforms.

Three industries. One dataset they cannot build themselves.

Pharma & Drug Discovery Novel alkaloid scaffolds and biosynthetic gene clusters for AI-driven drug discovery.
Agritech & Crop Science Stress-tolerance genes from the world's most extreme edaphic specialists.
AI & Foundation Models 8-layer multi-omics at specimen-level GUID linkage. Non-public. Non-replicable.
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Madagascar's Seven Ecoregions

Seven biochemically distinct ecoregions.

Distinct substrate chemistry, rainfall patterns, and millions of years of evolutionary isolation. Almost no biochemical overlap between them.

Eastern Rainforest

88 million years of isolation. Alkaloid and terpenoid scaffolds found nowhere else on Earth.

Spiny Desert

Extreme drought stress drove osmotic metabolites absent from every crop genome sequenced to date.

Limestone Karst

Micro-endemics in razor-edged tsingy. Phenolic arrays with no known analogues in global databases.

Ultramafic Substrates

Heavy-metal hyperaccumulators. Chelation chemistries built across millions of years of nickel exposure.

Western Dry Forest

Fire-adapted resins and bark-alkaloid reserves. Absent from any humid-forest genomic dataset.

Highlands & Plateau

Cold-adapted alkaloid pathways and UV-protective flavonoids. Absent from all lowland reference sets.

Sambirano Rainforest

The northern transition forest. Secondary metabolites from both humid and subhumid systems in one corridor.

The Extinction Clock

The window to build this dataset is closing.

63% of Madagascar's endemic plant species are already threatened with extinction. The primary driver is habitat loss — and it is accelerating. Species not collected before 2030 may not be collectable at all.

63%

of Madagascar's endemic plants are threatened with extinction

>90%

of IsoGentiX target species have zero public genomic data

2030

the collection deadline for many threatened biomes at current rates

<1%

of Madagascar's pharmacopeia screened for commercial potential

05 — Madagascar

Benefit-sharing,
not extraction.

IsoGentiX's model only works if Madagascar benefits. Local field teams are trained, employed, and credited. Malagasy taxonomists co-own specimen records. Institutional capacity is built in-country. A share of every commercial licence fee is channelled back through the Cali Biodiversity Fund mechanism — directly funding conservation of the habitats the data comes from. This is not a side-commitment. It is the legal and ethical foundation that makes every IsoGentiX licence commercially defensible.

Local employment & training Field teams, taxonomists, and collection specialists trained and employed in Madagascar.
Cali Fund contributions Qualifying revenues channelled back to biodiversity conservation in Madagascar.
Prior Informed Consent Every collection site approved by community and government before any team enters the field.
Institutional capacity Malagasy universities and botanical institutions receive privileged data access and skills transfer.
Our ethics and benefit-sharing framework
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Unlocking nature's intelligence.

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