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TrialMind vs SAS Clinical Acceleration vs Unlearn Digital Twins

Biostatistics and trial design tools, side by side. Pick any product to compare.

TrialMind vs SAS Clinical Acceleration vs Unlearn Digital Twins: biostatistics and trial design tools compared, from each company’s public pages, checked 2026-10-29
Programming
	TrialMindKeiji AIAI agents for biostatistics	Product 2SASClinical statistical computing environment	Product 3UnlearnAI digital twins for trials
Best for	One team for design and programming, drafting SAS or R in its own macros	Teams standardizing SAS, R and Python work in one validated repository	Smaller trials through EMA-qualified prognostic covariate adjustment with digital twins
SDTM generation	Yes: From your specs; R code exportable	Yes: Repeatable raw-to-SDTM workflows1	Not stated publicly2
ADaM generation	Yes: ADSL from SDTM, Pinnacle 21 rules checked	Yes: ADaM in the same governed flow1	Not stated publicly2
Tables, listings and figures	Yes: SAS and R code for review	Partly: Review-ready outputs; TLFs not named1	Not stated publicly2
Design and standards
Trial design	Yes: Estimands, power, simulation, digital twins	Partly: Enrollment simulation; design tools not described3	Yes: Digital twins; EMA-qualified PROCOVA2
Your macros and standards	Yes: Your macros and templates in SAS, R, Python	Yes: CDISC, Dataset-JSON, CORE; reusable workflows4	Not stated publicly2
Control
Traceability	Yes: Protocol changes traced to affected outputs	Yes: Lineage tracking and audit trails1	Not stated publicly2
GxP status	Yes: GxP qualified (GAMP 5, Part 11)	Yes: Validated environment; Part 11 support4	Yes: GxP, Part 11, SOC 2 Type 22
Deployment	Your environment, cloud or private cloud	Cloud-native on Viya; host anywhere4	Web app or on-premises2

From each company’s public pages, checked 2026-10-29. A dash means the company does not say.

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Sources · checked 2026-10-29

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