The reversal
Most functional ingredients are found the same way: start with a plant, then go looking for a benefit. It's slow, noisy, and rarely produces something you can substantiate.
Trilliome starts at the other end — with the biology of the gut ecosystem and the question of how to move it precisely. Everything else is built to answer that question at scale.
The core — Teroka
We call it Teroka — Malay for to explore, to pioneer. It interlaces many bioactives, in combination, into one designed ecosystem outcome — a closed loop of two engines, tightly coupled, each making the other smarter:
1. A wetlab data-generation engine
High-throughput, ex-vivo human gut models that measure how the microbial ecosystem responds — at species and metabolic-network resolution — to candidate bioactives and, critically, to their combinations. This is the engine that turns biology into data.
2. A computational exploration engine (data science & machine learning)
Models that mine that data to learn the rules of the ecosystem: which actives, and which combinations, shift which species and metabolites — and how to compose them for a target outcome with high specificity rather than broad-spectrum guesswork. This layer is being scaled on top of the wetlab engine — the more the wetlab generates, the more the models can learn.
The loop
Predictions from the exploration engine design the next round of wetlab experiments; the results sharpen the models. Each turn of the loop narrows the search and raises specificity. The output isn't a single lucky compound — it's a growing, navigable map of how to steer the gut ecosystem, realised as bioactives and bioactive combinations.
This is what "ecosystem modulation at scale" means: not one target, one molecule — but a systematic, compounding capability to control a complex microbial ecosystem on purpose.
From insight to ingredient
Once the loop identifies an active (or combination) with the specificity and effect we're after, we make it real: extract it from upcycled agricultural side-streams with a green, food-grade process — clean, shelf-stable, no harsh solvents — then protect it with patents and trade-secret process know-how. Insight → active → substantiated ingredient.
One feedstock, more than one product
The same upstream processing can yield more than one active from a single material — a precision gut-brain active (TRI-01) and a low-MW prebiotic fibre (TRI-04) trace to the same feedstock and processing asset. Shared inputs, multiple substantiable products, compounding margin. (Process specifics are trade secrets.)
Why it's defensible
- A proprietary data moat. The closed wetlab-to-model loop at the heart of Teroka produces a private dataset on ecosystem response that competitors can't buy — and it compounds with every cycle. Single-compound AI discovery doesn't capture combinations or ecosystem-level control.
- Patents on combinations. Beyond composition and use, a follow-on application covers combinations of our actives with fibres, phenolics, vitamins, live strains, and other adjuncts — the combinatorial space the engine is built to explore. (Detail on /ip.)
- Trade-secret process. The extraction know-how that makes the actives reproducible and low-cost.
- Evidence as a moat. A clinical program that deepens substantiation over time.
Capital goes into the engine, the IP, and the evidence — durable assets that compound in value over time.
The outputs so far
TRI-01 — precision gut-brain activator. Read →
TRI-04 — low-MW prebiotic fibre, metabolic-health claim path. Read →
Pipeline — further actives and combinations under development across the healthspan domains. Read →