- GxP
- 21 CFR Part 11
- GDPR
- Private tenant
Scale bioanalysis with AI
GxP-ready AI automation for CROs and biopharma service providers.



Raw data to final report, automated
A reliable automation layer for your lab's most tedious, time consuming tasks. Upload thousands of study files. ScienceMachine will process, review, flag issues and draft reports - saving you up to 80% of the time.
| Level | Nominal | Mean | Accuracy | Status |
|---|---|---|---|---|
| LLOQ | 1.00 | 1.04 | 104.0% | |
| LQC | 3.00 | 2.91 | 97.0% | |
| MQC | 50.0 | 42.8 | 85.6% | |
| HQC | 400 | 408 | 102.0% | |
| ULOQ | 500 | 493 | 98.6% |
Each value is traced back to the run it came from.
OutcomeReviewers see every issue and the exact source behind it.
Explore Document QCResults proven by industry leaders

“We worked with ScienceMachine at Inoviv and had a great experience. They helped us reduce the time we were spending on QC and reporting by 80%, allowing us to meaningfully increase our capacity.”
Less busywork. More time for science.
Scientists lose hours to handoffs, data entry, and repetitive checks.
- Every chromatogram reviewed manually
- Data copied between instrument software, Excel, and LIMS
- Reports assembled and cross-checked field by field
- Capacity expands only when headcount expands
Scientists get time back. Labs deliver more, faster.
- Less tedious, repetitive data-entry work
- Faster turnaround times
- More capacity, stronger margins, and easier scaling
- Higher-quality, more consistent work
- Stay ahead as AI transforms the industry
We're your trusted AI automation partner.
Built for regulated labs. Your sponsors' data stays in your own environment, and no AI model ever learns from it.
- 01
Your data never trains AI
Your data is never used to train AI models. We run models through major cloud providers, so your data never reaches the companies that build them.
- 02
Your own private tenant
Every customer gets a private tenant in its own isolated cloud environment. Your data, files and workflows are never shared with or visible to anyone else.
- 03
Every action on the record
Every source, automated action, edit, version, and approval is captured in a complete audit trail. Nothing is final until a scientist approves it.
- 04
Validation support built in
We provide the validation documentation for every high-impact platform release, and a standard framework to validate each workflow you use.
- GDPRPersonal data is processed under GDPR, with a data processing agreement on request.
- 21 CFR Part 11Audit trails, access controls and recorded approvals for electronic records.
- GxPValidation documentation for every platform release, and a framework for each workflow.
- Google CloudHosted on infrastructure certified to SOC 2 Type II and ISO 27001.
Deployed in regulated labs · Integrates with your instruments, LIMS and templates · Expert support from deployment to validation
How we keep sponsor data safeAI for real-world scientific workflows
Our team contributes to the evaluation and development of scientific AI models, used as the standard throughout the industry.
Frequently asked questions
How do you keep our data secure?
Every customer gets a private tenant in its own isolated cloud environment. Your data, files and workflows are never shared with or visible to anyone else.
Your data is never used to train AI models. We run models through major cloud providers, so your data never reaches the companies that build them.
How do you support our compliance?
We support your Computer System Validation (CSV) in two parts:
- Platform validation. With every high-impact release of our platform, we provide the complete validation documentation you need.
- Workflow validation. For each custom workflow you use, we provide guidance, infrastructure and AI support to streamline your validation.
Platform validation is handled entirely by us, following standard CSV guidelines. Workflow validation happens inside the platform, using a standardised framework for validating AI workflows that follows the latest US and EU guidance and regulations. In brief: we agree a set of test cases and acceptance criteria for each workflow, make sure they pass with every release, and monitor the workflow against those criteria in production.
How do you ensure quality?
Every workflow is configured around your SOPs, acceptance criteria and approved templates, and is tested against agreed test cases before it goes live and with every release.
Scientists stay in control: ScienceMachine flags what needs attention, links every result to its source, and nothing is final until a person approves it. Every automated action, edit and approval is recorded in a complete audit trail.
What ROI can we expect?
Our customers typically cut QC and reporting time by up to 87% and increase capacity by 20% without new hires. Inoviv saw a 3.3× return on investment in its first three months.
We offer enterprise pricing: we estimate the value that ScienceMachine brings to your organisation, and then take a small cut of that. So we can always aim to provide a 5–10× return on investment.
Start with a free workflow audit and we'll estimate the time and cost you could save in your lab.
Find the automation opportunity in your lab.
- 01
Free workflow audit
Find the biggest bottlenecks in your current process and where automation can save the most time.
- 02
See our automation
See how ScienceMachine could automate the work and reduce handling time by up to 80%.
- 03
Low-risk pilot
Evaluate the platform on real day-to-day work before committing to a wider rollout.
