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Ordo

Project and knowledge collaboration · by Ordo Labs

AI workspace for regulated labs that drafts reports from raw files, runs SOP-based QC checks, and supports human review, source traceability, and electronic signatures.

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What it does

AI workspace for regulated labs that drafts reports from raw files, runs SOP-based QC checks, and supports human review, source traceability, and electronic signatures.

  • Drafting laboratory reports from raw data in existing templates
  • Running SOP-defined QC checks for human review
  • Preparing QC release, stability, and bioanalytical study reports
  • Maintaining source traceability, electronic signatures, and audit trails
Category
Project and knowledge collaboration
Built for
Healthcare and life sciences
Users
Bioanalytical laboratories, CROs, and assay-kit makers, Pharma and biotech quality teams and CDMOs, Biologics, vaccine, and cell and gene therapy QC teams, Preclinical safety and regulated testing laboratories
Public API
Not offered

Not yet disclosed: deployment options, platforms, languages and support channels.

Pricing

Pricing not available

We don't have pricing details for Ordo yet. Ask Ordo Labs for a quote.

Security and compliance

As reported by Ordo Labs. Ask for audit reports before you buy.

  • Good Manufacturing Practice (GMP)Certified
  • Good Laboratory Practice (GLP)Certified
  • 21 CFR Part 11Certified
  • EU GMP Annex 11Certified
  • OECD GLP PrinciplesCertified
  • 21 CFR Part 58Certified
  • Report values link back to their original source data.
  • Electronic signatures require re-authentication, a second factor, and a stated signature meaning.
  • Signing and record-lifecycle events are recorded in an immutable audit trail.
  • Signed reports and their source files are locked; changes require a separately signed new version that preserves the original.
  • Company-level data access is enforced in the database; external reviewer links are limited to a single report.
  • Qualified people retain quality decisions; AI suggestions are not the record.
  • Customer data is not used to train models. The default AI route does not retain files, records, or requests; secondary scanned-page processing may retain pages flagged by abuse monitoring.
  • Each customer receives its own deployment with separate validation and production environments.
  • Releases include risk-classified change notices and require customer authorization before production upgrades.
  • Customer validation support includes a validation plan, functional specification, traceability matrix, installation qualification protocol, and URS and PQ templates.

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