Oncology trials, reimagined

Curing cancer starts with better trials.

AI-powered digital twins for oncology trials.

Twintafo helps trial teams simulate outcomes, stress-test design decisions, and evaluate external controls before investing millions in real-world studies.

Built for biotech, pharma, CROs, and biostatistics teams.

Digital Twin SimulationLive
CalibratedConfidence bandForecast
Compare observed cohorts against simulated digital twins to stress-test outcomes before enrollment.
The problem

Why oncology trials stall

Traditional trials carry high uncertainty, slow recruitment,\nand hard-to-control variability.

Oncology trial planning has a narrow margin for error. One slow cohort or misaligned endpoint can add quarters to a program and compound risk across the pipeline.

Twintafo surfaces these pressure points early, before teams commit real patients and real budgets.

Where trials lose momentum

Recruitment takes too long

Enrollment bottlenecks delay timelines and inflate trial costs year over year.

Control arms are difficult to enroll

Patients often avoid or drop from control cohorts, undermining power and balance.

Populations differ across sites

Heterogeneous cohorts create unpredictable variability and complicate analysis.

Small design choices create major bias

Minor protocol tweaks can shift outcomes and derail interpretation.

What Twintafo does

Simulate before you commit.

Twintafo creates realistic synthetic patient journeys to test trial assumptions, compare strategies, and quantify risk before real patients are enrolled.

01

Simulate

Model realistic trial outcomes before the first patient visits.

02

Compare

Stress-test arms, endpoints, and assumptions side-by-side.

03

Decide

Quantify tradeoffs and choose a design with conviction.

How it works

A focused three-step loop

A structured flow from assumptions to digital twins to actionable diagnostics.

Step 1

Define simulations

Align on design, endpoints, and population profiles.

Step 2

Generate digital twins

Create synthetic longitudinal patient cohorts.

Step 3

Stress-test outcomes

Evaluate power, bias, timelines, and robustness.

Who it’s for

Built for trial decision-makers

Designed for teams driving oncology programs with high stakes and tight timelines.

Audience

Biotech & Pharma

De-risk oncology programs before pivotal investment.

Focused on faster evidence without sacrificing scientific rigor.

Audience

CROs

Strengthen proposals with simulation-backed evidence.

Focused on faster evidence without sacrificing scientific rigor.

Audience

Biostatistics teams

Pressure-test design decisions with transparent assumptions.

Focused on faster evidence without sacrificing scientific rigor.

What you get first

Built with early collaborators.

We’re currently working with early design partners to shape the Twintafo platform.

Deliverables may include

  • Trial simulation plans
  • Synthetic longitudinal datasets
  • Sensitivity analyses
  • Structured decision summaries

Every collaboration is tailored, with artifacts sized to your decision timeline and evidence needs.

Engagement arc

01Scope the trial

Define endpoints, cohorts, and decision criteria.

02Run simulations

Generate digital twins and stress-test scenarios.

03Decide with evidence

Translate diagnostics into a confident next step.

Trust principles

Built for rigor.

A platform designed to deliver insight without compromising privacy or reproducibility.

Synthetic outputs only
Reproducible simulation configs
Designed for trial workflows
Privacy-first architecture
FAQ

Questions teams ask early

Concise answers to common questions from oncology trial teams.

No. Twintafo provides synthetic counterparts to help trial teams explore design decisions before enrollment.

Build the trial before you run it.

Collaborate with Twintafo to pressure-test your next oncology trial before it starts.

Contact

Start the conversation.

Tell us about your trial goals, and we’ll outline a tailored simulation plan.

What happens next

We align on your trial questions, constraints, and success criteria, then outline a focused simulation plan.

This is not a medical website. We do not provide patient advice or clinical guidance.