1. Scientific model
Can chemistry, biology, reactions and assays be connected without duplicating identifiers or building fragile manual links?
Start with decisions, not software categories
“Scientific data platform” can describe very different products: compound registries, ELNs, LIMS, assay systems, research data warehouses and multidisciplinary discovery platforms. Begin by listing the decisions scientists cannot make efficiently today and the systems or files they must reconcile to make them.
A useful evaluation dataset includes real structures, stereochemical edge cases, biological targets, assay measurements, reactions and legacy identifiers. A generic demonstration may look polished while avoiding the data conditions that make a deployment difficult.
Recommended proof step Give each shortlisted vendor the same representative dataset and the same ten scientific questions. Compare the returned result, configuration effort, provenance and elapsed time.
Eight areas to evaluate
2. Chemical correctness
Test exact, substructure, similarity, stereochemistry, tautomer and salt-handling behaviours using known edge cases.
3. Scale
Measure representative searches and browsing at the expected record volume, not only against a demonstration dataset.
4. Migration
Determine how source identifiers, provenance, duplicate rules and failed records will be handled and reported.
5. Integrations
List the ELN, LIMS, assay, modelling, identity and reporting systems that must exchange data.
6. Deployment
Compare cloud, on-premises and hybrid requirements, including networking, updates, backup and operational ownership.
7. Governance
Define roles, access boundaries, audit expectations, validation needs and data-retention responsibilities.
8. Exit path
Confirm export formats, API access and how the organisation retrieves usable data if requirements or suppliers change.
9. Total effort
Count configuration, consultancy, migration, training and internal operational effort as well as licence cost.
Questions for every vendor
| Area | Ask for evidence |
|---|---|
| Chemistry | Run supplied stereochemistry and substructure searches live, including expected non-matches. |
| Biology | Show how variants, isoforms, complex biologics and targets relate to compound and assay records. |
| Performance | Demonstrate realistic data volume and describe the indexing and pagination approach. |
| Deployment | Provide an architecture matching your network and data-residency constraints. |
| Implementation | Separate product configuration from custom development and ongoing consultancy. |
| Interoperability | Export a complete sample record and retrieve it through the available API. |
Where Adroit is intended to fit
Adroit is a candidate when a team needs connected chemistry and biology data, industrial-grade structure search, flexible deployment or a white-label scientific customer portal.
Compare potential suppliers
Use the same representative dataset, workflow and acceptance criteria for every supplier.