Organize the project
Keep the inputs, assumptions, requests, decisions, and deliverables in one client or study workspace instead of scattering them across folders and messages.
Scientific workflow platform for pharmacometrics
Run pharmacometrics projects from data to reviewed results.
Zynthari gives scientific teams one controlled workspace to organize a project, run approved analyses, review the results, and keep every decision and output traceable.
What Zynthari does
It keeps the scientific work around the model together.
Run the science
Launch approved pharmacometrics workflows in versioned environments, including R and scientific modeling engines, without rebuilding the runtime for every project.
Review the results
Separate execution from scientific judgment. The platform can coordinate work, while qualified people remain responsible for interpretation and approval.
Deliver with a record
Preserve the files, figures, model outputs, review history, and provenance behind a result so the team can understand how it was produced.
The simple idea
AI coordinates the work.
Scientific engines do the calculations.
People make the decisions.
Zynthari is not trying to replace NONMEM, R, Monolix, Pumas, or the scientist. It is the operating layer that connects project context, execution, review, and evidence around those tools.
The platform
One environment for the work around scientific computing.
Client and project context
Separate workspaces keep project information, authorized users, files, workflow state, and decisions scoped to the right engagement.
Governed scientific runtimes
Versioned containers run approved workflows consistently, with defined resources, inputs, outputs, and software versions.
Human approval where it matters
Automated steps can prepare and check work, but scientific interpretation and consequential decisions remain explicit human responsibilities.
Traceability by default
Inputs, configurations, logs, figures, reports, hashes, and review decisions remain connected instead of becoming disconnected project artifacts.
For scientific teams
Give the team a consistent way to run and review work.
Use Zynthari across studies and projects without forcing every scientist to assemble their own infrastructure, execution environment, and evidence trail.
For consulting partners
Bring your scientific expertise. Use Zynthari behind the delivery.
Partners can use isolated client workspaces and governed runtimes while keeping ownership of their client relationship and scientific services.
Deployment
Use Zynthari in our cloud or yours.
The software and scientific runtimes can be operated by Zynthari or deployed into a customer's own cloud environment.
Execution model
Compute runs when the science runs.
Scientific jobs can run in temporary containers instead of sitting on continuously running virtual machines. That means infrastructure can scale with actual analysis activity and scale back down when the work is finished.
When idleCompute can scale to zero
During a runIsolated scientific runtime
After the runResults and evidence remain
Partners
Built to support trusted scientific partners, not compete with them.
When a consultant or specialist organization brings Zynthari into an engagement, Zynthari supplies the platform and operating infrastructure. The partner keeps the client relationship and leads the scientific services.
That lets partners deliver through a more structured environment while giving clients a path to adopt the platform directly later without displacing the experts they already trust.
First partner
e-Quantify
Our first partner relationship is helping us shape Zynthari around real-world scientific delivery and partner-led client work.
Partner principleYour client relationship stays yours.
Early access
Put the MVP in your hands.
We are sharing the MVP with pharmacometrics teams and trusted partners who can test it on realistic workflows and tell us what needs to work better.