Platform

Data Infrastructure

The Scientific Memory of Your Organization

Transform fragmented records into executable scientific memory. Alchemic ingests, normalizes, and connects internal and external knowledge so every decision is backed by evidence.

Four sources, a paper, a spectrum, a lab notebook, and a molecular structure, streaming into a central data store ringed by maps, periodic tables, and structures.
Papers, spectra, lab notebooks, and structures, normalized into one queryable memory.

Core Capabilities

A knowledge layer built for the realities of chemical and industrial R&D, where data is messy, distributed, and mission-critical.

Unified Matter Knowledge Graph

A structured evidence backbone that connects molecules, materials, reactions, processes, formulations, and outcomes in a single searchable graph.

Scientific RAG with Citations

Every answer grounded in traceable evidence. Retrieve from literature, patents, internal reports, and experimental data with inline citations.

Entity Normalization

Automatic normalization across molecules, reactions, materials, assays, products, vendors, plants, and programs. One entity, one identity.

Internal + External Data Fusion

Unify public literature, patent databases, and proprietary internal data in a single scientific context layer with proper access controls.

Experimental Data Quality Scoring

Automatically assess data completeness, consistency, and reliability. Surface high-quality evidence and flag gaps before they reach models.

Negative Results as Learning Signals

Capture what did not work with the same rigor as what did. Negative results prevent repeated failures and accelerate convergence.

Full Data Lineage and Provenance

Trace every recommendation, prediction, and insight back to its raw source data. Complete audit trail from input to decision.

Workspace Permissions and IP Isolation

Data permissions by workspace, project, organization, and role. Your IP stays yours. Internal data is never shared across tenants. Federated sharing with authorized partners when collaboration requires it.

What You Can Ingest

Structured and unstructured. Internal and external. Lab data and plant data. Alchemic handles the full breadth of chemical and industrial knowledge.

Scientific literature
Patents
ELN / LIMS / MES data
Reaction outcomes
Formulation results
Scale-up reports
Process historian data
SDS / TDS / COA sheets
Spectra and imaging data
Simulation outputs
SOPs and methods
Partner and consortium shared datasets
Design Principle
“Every important answer has provenance, citations, confidence, context, and recency.”

This is the standard we hold every piece of knowledge to. If it cannot be traced, scored, and contextualized, it does not belong in your decision workflow.

Knowledge That Survives Contact with the Plant

For chemistry, knowledge is only useful if it extends beyond the lab. Alchemic connects discovery knowledge to manufacturing reality.

Manufacturability
Supply Availability
Cost Constraints
Hazard Constraints
Regulatory Constraints
Sustainability

Interoperable by Design

Real scientific progress requires data, models, and artifacts that flow across institutions. Alchemic is built for collaborative research environments where discoverable, reusable knowledge compounds across teams and partners.

Metadata-rich artifacts discoverable by authorized collaborators
Federated data sharing with fine-grained access controls
Integration with external computing and storage infrastructure
Models and data reusable across programs with full provenance

Build your scientific memory

See how Alchemic turns fragmented knowledge into evidence-backed decisions for your R&D team.