Discovery, not just screening
Topology-first modeling surfaces tractable targets and mechanisms that conventional pocket-based screening misses — including disordered and boundary-targetable proteins.
BioTwin · A Digital Fabric company
BraidEra simulates a drug program end-to-end across every resolution layer — from quantum and atomic structure up through pathway, cell, tissue and organism — and carries cryptographically auditable evidence at every step. Walk in with a target. Walk out with a virtual shelf-ready dossier that converts cleanly into an IND-enabling program. The lab becomes confirmation, not discovery.
Built on the Digital Fabric reality-twin substrate.
Topology-first modeling surfaces tractable targets and mechanisms that conventional pocket-based screening misses — including disordered and boundary-targetable proteins.
Every prediction carries an evidence tier, a confidence vector, and a falsifiable criterion. Nothing is asserted that can't be traced and challenged.
One coherent model spans quantum to organism, so a finding at the atomic layer propagates its consequences — and its uncertainty — all the way up.
Three moves, repeated until the dossier is shelf-ready.
Every layer is calibrated against published results and reference databases. Predictions start tethered to ground truth, with confidence that reflects the supporting evidence.
Propagate a candidate through every resolution layer. Where the model can do what conventional methods can't, it produces a specific, testable prediction instead of a vibe.
Open questions are first-class. Each gap is tracked as accepted, assumed, or challenged — and a challenged gap auto-generates the experiment that would falsify it.
Every other system makes you pick one shape and force the rest of reality to fit it.
A molecule, a regulatory pathway, a cell, and a whole organism are fundamentally different kinds of structure — and the science lives in the dependencies between them. Yet every data system today makes you choose a single model: rows, or documents, or a graph. Fragment reality across incompatible systems and those dependencies vanish in the seams, taking the discoveries hiding inside them along too. BraidEra runs on a computational substrate, built from scratch in Rust, that represents every known data modality natively in one engine — plus new ones, like topological braids. We don't flatten nature to fit the database. We simulate it as it actually is.
Quantum, chemical, structural, network, and organism-scale state all live as atoms in a single engine — not a graph database bolted onto a document store, with lossy hand-offs between systems that each see only part of the picture.
Path-dependent biology — epigenetic history, regulatory sequence — is modeled as topological braids
that preserve the exact order of events. BraidQL operations like PULL_STRAND and
EXCISE_CROSSING ask questions that are physically impossible to write in SQL or GraphQL.
Every atom carries a 7-axis confidence vector at the storage layer itself. The engine refuses to answer beyond its confidence frontier — it surfaces what it doesn't know instead of fabricating it.
PULL_STRAND FROM strand::0 TOP 5
WITHIN braid::MYCN
RETURN strand_id;
MYCN braid — in order, with the path preserved. There is no way to write this in SQL."Virtual shelf-ready" is only credible if every claim has a known-science anchor and a path to being proven wrong. BraidEra ties each claim dynamically to its supporting evidence; contradictions propagate through downstream confidence, and the system gets more confident — and more honest about its limits — as more validation lands.
From electrons to the whole organism — a single coherent substrate.
BraidEra is in active development with design partners. If you're working on a hard target — disordered, "undruggable," or resistance-prone — we'd like to hear about it.
Request early accessOr reach the parent team at digital-fabric.com.