Inconsistent Scientific Formats
Fragile handling across SMILES, SDF/XYZ, CSV/JSON screening files, and literature data.
Scientific Data & AI Platform
Scientific Data Accelerator
From Raw Chemistry Records to Simulation-Ready, Governed Data
A validation-first pipeline that triages records for simulation fitness, routes each task to the right compute lane (AIMNet2, PyTorch, ASE), and cryptographically verifies the lineage of every result.
The Core Problem
Unchecked Inputs Reach Expensive Compute
Corrupted valences, bad 3D geometries, and open-shell spin mismatches waste massive GPU/DFT budgets.
Untraceable AI Predictions
Inability to cryptographically audit model versions, uncertainty bounds, and pipeline lineage for regulatory defensibility.
View architecture
Six-Stage End-to-End Production Architecture
Stage 01
Inputs
Multi-modal ingestion of SDF/XYZ, SMILES, CSV/JSON screening records, and REST API payloads.
Stage 02
Ingestion & Normalization
Structural canonicalization, molecular formula calculation, and SHA-256 raw input hashing.
Stage 03
Validation & Simulation Readiness (The Triage Gate)
Validation-first checks enforcing valence rules, tensor shape integrity, and 4-state simulation readiness.
Stage 04
Workflow Orchestration
Task classification, model routing, dynamic batch packing, and GPU priority scheduling.
Stage 05
Execution Engines
Specialized compute lanes for AIMNet2 Fast Inference, PyTorch Neural Workflows, and Advanced ASE / PySisyphus Adapters.
Stage 06
Outputs & Governed Vault
Zero-trust ALCOA+ audit trails with model-version lineage, Out-of-Distribution (OOD) uncertainty flags, and Streamlit analytics.
Cross-Cutting Operational Controls: Dynamic GPU Actor Pooling • CUDA Memory Pinning • Compiled Model Warmup Cache • Zero-Trust Audit Lineage.
4-State Readiness Triage
Ready
Passes chemical valence and tensor integrity; dispatched directly to fast inference.
Ready with warnings
Open-shell radicals or spin multiplicity requiring specialized handlers.
Requires remediation
Heavy transition metals or molecules outside standard organic potential distribution; routed to DFT/hybrid fallback.
Rejected
Invalid SMILES syntax or valence contraventions; compute execution blocked instantly.
Three Execution Lanes
AIMNet2 Fast Inference Lane
High-throughput molecular property screening and batch scoring.
PyTorch Neural Workflow Lane
Multi-step learned property pipelines and conformational relaxation.
Advanced Pathway Adapters (ASE / PySisyphus)
Transition-state optimization, reaction pathways (NEB/IRC), and molecular dynamics.
Try readiness triage
CC(=O)Oc1ccccc1C(=O)O
Select a record and run the triage to see its status and lane.
Built on our Scientific Data Platform
The Accelerator extends ChemData AI's Scientific Data Platform with readiness triage, task routing and audit lineage. It builds on our three-tier platform — validation engine, relational vault and control center — with readiness triage, task routing, workflow orchestration and result lineage. Validated records remain connected to their source and execution history, so teams can review how each result was produced.
Discuss your scientific data
Available as the Scientific Edition of our Data Accelerator engagement — from £9,500.
Schedule an Architecture Briefing