Comparison

Astraea vs. Saama

Saama is an AI CRO — it runs biometrics and submission work for sponsors as a managed service on its own cloud platform. Astraea is software your team runs: forward-deployed engineers install it inside your own environment, where your data never leaves, and it automates everything after protocol and raw data — SAP, eCRFs, TFLs, SDTM and ADaM datasets, Define-XML, and QC.

What is Astraea?

Astraea is clinical trial automation software that pharmaceutical sponsors run themselves — not a CRO, and not a web-hosted service. It automates everything after protocol design and raw data collection: the SAP, eCRFs, TFLs, SDTM and ADaM datasets, Define-XML, QC, and the full set of FDA submission documents, in one auditable system. Because forward-deployed engineers install it inside the sponsor's own environment, Astraea never sees or holds your data. It is backed by Y Combinator (P26) and works across oncology, rare disease, other therapeutic areas, and medical devices.

The verdict

Saama is the right choice for teams that want a full-service AI CRO to run the biometrics and submission work for them, on a broad enterprise platform spanning clinical and commercial analytics. Astraea is the right choice for teams that want to run everything after protocol and raw data themselves — SAP, eCRFs, TFLs, datasets, Define-XML, and QC — deployed inside their own environment, where Astraea never sees their data. Astraea is software sponsors run to control their own trials — not a CRO that runs them for you.

Side by side

How Astraea compares to Saama.

Both use agentic AI to automate the pipeline. The difference is who runs it: software your team operates in your own environment versus a CRO that delivers the work for you on its cloud.

CriterionAstraeaSaama (AI CRO)
Delivery model
YesSoftware your team runs to create and control your own trials
PartialAI CRO — the work is delivered for you as a managed service
You run it in-house and stay in control
YesYour statisticians operate the pipeline and own every decision
NoA CRO team runs the biometrics and submission work on your behalf
Automates everything after protocol & raw data
YesSAP, eCRFs, TFLs, SDTM/ADaM, Define-XML, QC, documents — one system
YesBRAIN and Source-to-Submission automate across the pipeline too
Generates SDTM & ADaM datasets from raw data
YesDataset generation is core to the pipeline
YesAgentic AI generates datasets within the service
Agentic AI automation
YesAgentic execution across the full pipeline
YesSaama BRAIN is an agentic AI platform
Deployed in your environment (data never leaves)
YesInstalled in your systems by forward-deployed engineers; Astraea never sees your data
NoCloud platform; your data is processed in the vendor's cloud
Auditability & 21 CFR Part 11
YesFull lineage, versioning, audit-ready by construction
YesValidated, GxP-aligned enterprise platform
Therapeutic & indication coverage
YesClients across oncology, rare disease, other indications, and devices
YesBroad, established across large pharma
Full-service CRO & commercial analytics breadth
NoFocused on the automation pipeline, not full CRO services
YesClinical + commercial analytics and full-service CRO delivery

Where Saama wins

What Saama does best.

A full-service AI CRO

Saama runs the work for you. Teams that want a managed service — people and platform accountable for delivering the biometrics and submission work end to end — get an AI-augmented CRO rather than software they have to operate themselves.

Enterprise scale, proven with large pharma

Saama is an established enterprise vendor with a long track record across large pharmaceutical sponsors and big, complex programs. Organizations that need that scale and vendor maturity get it from Saama.

Breadth beyond biometrics

Saama's platform spans clinical and commercial analytics, not just the submission pipeline. Sponsors that want one vendor across trial analytics and commercial lifecycle data get a broader footprint than a focused pipeline tool.

Where Astraea wins

Software you run, in your environment.

01 · Software, not a CRO

You run it — nobody runs your trial for you.

This is the core difference. Saama is an AI CRO: its team delivers the work as a service. Astraea is software your own statisticians and programmers run to create and control your trials in-house. You keep ownership of the science, the pipeline, and the timeline — instead of handing them to an outside vendor.

02 · Deployed in your environment

Your data never leaves your systems.

Saama is a cloud platform, so your data is processed in the vendor's environment. Astraea is installed inside your own environment by forward-deployed engineers who work alongside your team, and Astraea never sees your data — a decisive difference for data residency, security, and IP.

03 · One focused pipeline

Everything after protocol and raw data, in one system.

Astraea generates the SAP, eCRFs, TFLs, SDTM and ADaM datasets, Define-XML, and QC end to end in one auditable system with named-reviewer sign-off on every output — a focused biometrics-to-submission pipeline rather than a broad enterprise suite delivered as a service.

FAQ

Astraea vs. Saama, answered.

The questions biometrics and biostatistics leads ask most when weighing software they run themselves against an AI CRO that delivers the work as a service.

Astraea vs. Saama — Common Questions

Is Saama a CRO?
Yes. Saama is an AI-driven CRO — it delivers clinical data and biometrics work for sponsors as a managed service, powered by its own cloud platform (Saama BRAIN and Source-to-Submission). Astraea is not a CRO: it is software your own team runs in-house to create and control your trials, rather than a vendor that runs the work for you.
What is the difference between Astraea and Saama?
The biggest difference is the delivery model. Saama is an AI CRO whose team runs the biometrics and submission work for you on its cloud platform. Astraea is software that forward-deployed engineers install inside your own environment, where Astraea never sees your data, and your statisticians run it themselves to automate everything after protocol and raw data — SAP, eCRFs, TFLs, SDTM and ADaM datasets, Define-XML, and QC.
Is Astraea better than Saama?
Astraea is better for teams that want to own and run the post-protocol-to-submission pipeline themselves, in their own environment, keeping control and data in-house. Saama is better for teams that want a full-service AI CRO to run the work for them and a broad enterprise platform spanning clinical and commercial analytics. The right choice depends on whether you want to run the pipeline or have it delivered as a service.
Can Astraea replace Saama?
Astraea can replace Saama for automating the biometrics-to-submission pipeline — generating the SAP, eCRFs, SDTM and ADaM datasets, TFLs, and Define-XML and running conformance QC in one system deployed in your own environment. It does not provide Saama's full-service CRO delivery or its broader commercial-analytics platform. Teams that want to run the pipeline in-house can use Astraea in place of Saama.
Who should use Saama instead of Astraea?
Sponsors that want a full-service AI CRO to deliver the work for them, need enterprise scale proven across large pharma, or want a single platform spanning clinical and commercial analytics should consider Saama. Teams that want to run the pipeline themselves inside their own environment, keeping data and control in-house, should use Astraea.

See months of biometrics work compressed into days.

Astraea automates everything after protocol and raw data — SAP, eCRFs, TFLs, datasets, Define-XML, and QC — in one auditable system, deployed inside your environment where your data never leaves, with statisticians in control of every decision.