Train, simulate, and validate next-generation therapeutics with scalable biological intelligence. Helixion gives research teams a single computational surface across foundation models, simulation, and orchestration.
Wet-lab cycles, fragmented tooling, late toxicity, siloed data. Computational depth has been an accessory — never the substrate.
Each module is independently deployable and composes through a single research API and shared molecular memory.
Generate novel therapeutic candidates using molecular foundation models trained on billions of structures.
Predict protein folding, binding affinity, and dynamic biological response across time-resolved trajectories.
Forecast adverse effects, off-target interactions, and failure probabilities long before lab validation.
Coordinate datasets, experiments, models, and teams across a single computational research surface.
Fine-tune molecular and protein foundation models on your proprietary datasets and structural libraries.
Execute large-scale in-silico experiments across folding, binding, ADMET, and population response.
Promote validated workflows into production, accessible to bench scientists through a single API.
REST and gRPC surfaces, streaming inference, batch endpoints — versioned and stable.
Isolated tenants, hardware-attested enclaves, end-to-end encrypted workloads.
Elastic H200 / B200 pools, fair-share scheduling, transparent burst.
Proprietary structure libraries, lineage, dedup, access-controlled sharing.
Reproducible weights, eval suites, A/B promotion across environments. Rollback in seconds.
Shared notebooks, comments, review workflows over live runs and datasets — team-scoped IAM + full audit trail.
Live model monitoring, experiment pipelines, computational clusters, and molecular memory — one surface, every layer.
Helixion partners directly with research-stage and enterprise programs. Access is granted by program review.