Now live in Brazil

Brazil has the patients.
We make them provable.

Sponsors can't place a trial in patients they can't see. TrialBridge lets Brazilian sites prove their real capacity — privately — and lets sponsors run protocol feasibility against it at national scale.

🛡 Counts, never patient rows 📊 Enrollable, not screening counts 🌎 DataSUS national scale
TrialBridge
🌎
DataSUSnational scale
🏥
Sitesproven capacity
🔬
Investigatorspre-identified
📊
Feasibilityhonest counts
🧭
Regulatoryspecialists
📦
Customspartners
What decision-makers told us

We asked 73 of them. The barrier is visibility.

Primary research with biotech, pharma & CRO decision-makers — the people who actually pick the country. Brazil runs under 2% of the world's trials despite deep patient pools and ~65% lower oncology cost. It's almost never the science.

+1.12
jump in intent to choose Brazil

Just from learning about the 2024 reform — with zero detractors among the most operational personas.

71%
had never heard of the reform

Lei 14.874 already removed their #1 barrier. Almost nobody knows it yet.

50%
of CROs want pre-identified patients

"Investigators with patients" is their top ask — and 70% lock the country list at feasibility.

The pain points we solve

Seven reasons Brazil gets cut — and what we do about each

Straight from the survey. Some are outdated perceptions the 2024 reform already fixed — the rest we cover, built into the product or handled by our specialist partners.

🎯We built this

Site selection

Which sites can actually deliver the patients? Today it's a feasibility guess — and 70% of CROs lock the country list at exactly this stage.

Match your protocol against real, site-proven capacity, before the list locks.

📋The reform fixed this

Regulatory approval

Approval timelines are the #1 barrier and #1 dealbreaker (41% / 25%). The 2024 law collapsed the double ethics review and capped ANVISA at 90 days — yet 71% never heard.

We surface the reform and the current, provable timeline at feasibility.

⏱️The reform fixed this

Start-up time

Contract-to-first-patient historically ran ~12 months. The new framework targets ~2–3. Perception still says "too slow."

We put the current reality in front of the people choosing the country.

🔬We built this

Investigators

"Pre-identified investigators with patients" is the #1 operational ask — 50% of CROs. Nobody can see them before committing.

Sites prove which investigators have eligible patients — privately, counts not rows.

🏥In our network

Sites & quality

Site quality & consistency is the #2 barrier — 60% among CROs. Proven capacity isn't the same as proven quality.

We prove patient capacity and back it with a vetted, quality-certified site network (GCP / inspection history).

🧭In our network

Regulatory specialists

Local regulatory / feasibility experts are the #1 requested enabler (47%). Sponsors want humans on call, not just software.

We already have specialized local regulatory & feasibility partners — on call, not on a roadmap.

📦In our network

Alfândega — importation & customs

Getting drug, supplies and equipment through customs is a top barrier (32%) — and the one US sponsors flag most.

Specialized import & customs partners handle it — flagged directly in your feasibility view.

🌎The through-line

Patients, made provable

Brazil is seen as "same, worse, or unknown" vs. its alternatives — and often loses to keeping the trial domestic. The patient pool is real; it just isn't visible.

A national DataSUS estimate + honest "≈N enrollable over 6 months" makes it undeniable.

Our partners

Specialists already in our network

The regulatory, feasibility, site-quality and customs expertise behind the "in our network" claims above.

DoctorAssistant.ai
iHealth
ODC.
Life Sciences
How it works

Connective tissue, not another database

Sites prove their own capacity; sponsors match against what's real — and honest.

1

Post the protocol

Upload eligibility criteria; Claude parses them into a typed, human-verified schema.

2

Sites prove capacity

Each site matches against its own patients privately — de-identified counts and the bottleneck leave, patient rows never do.

3

Honest feasibility

A national DataSUS estimate plus "≈N enrollable over 6 months" — not an inflated upper-bound screening count.

The differentiator

See what one criterion is really costing you

Every eligibility criterion narrows the pool. TrialBridge shows, live, how loosening a single criterion expands the eligible patients across responding sites — before a protocol amendment, not after enrollment stalls.

  • Toggle any criterion to see its exact impact across the network.
  • Honestly separates newly eligible patients from "unknown-data" effects.
  • Modeled on real Phase III structure (HER2+ metastatic breast cancer), simplified for illustration.

Protocol softening simulator

Illustrative
Eligible patients across responding sites3,200 of 15,250

Uncheck a softenable criterion to see the patient pool grow. Numbers are illustrative.

Built for both sides

Whichever side of the trial you're on

For sponsors & CROs

Find sites that can actually enroll

"Our incumbent database is biased toward markets we've already saturated. I need to see capacity that actually exists."

  • Run feasibility against real, site-proven capacity — at national scale.
  • See exactly how softening a criterion expands your pool.
  • Compare sites on a standardized scorecard, not a sales call.
Run a feasibility check
For sites

Get found by sponsors who are looking

"We had the patients and the equipment. What we lacked was a way to show up in a sponsor's feasibility study."

  • Prove capacity once — privately, counts-not-rows.
  • Surface automatically in matching feasibility scorecards.
  • Build a track record that compounds with every trial.
List your site
What sponsors receive

One scorecard per site, side by side

View live scorecard →
SiteEnrollment capacityEquipment fitCertificationsPast performance
Hospital das Clínicas — São Paulo 92%Full matchGCP, ANVISAOn-time: 92%
Instituto Oncológico — Curitiba 78%Partial — PET/CT offsiteGCP, ANVISAOn-time: 87%
Centro de Pesquisa — Porto Alegre 65%Full matchGCPOn-time: 74%
Questions

Frequently asked questions

Is TrialBridge another site database like TriNetX or IQVIA?
No. Incumbent databases are built from historical, licensed data skewed toward already-saturated markets. TrialBridge is connective infrastructure: sites prove their own current capacity, so emerging-market capacity that's invisible elsewhere becomes visible — and provable — here.
How does a site's capacity stay private?
Sites match protocol criteria against their own patients locally. Only de-identified counts and a bottleneck reference leave — never patient rows — and small cells (1–4) are suppressed to "<5".
Where does the national estimate come from?
Brazil's public-health-system data (DataSUS) gives a whole-country view of eligible patients before you commit to specific sites — alongside real hospital networks.
Why now?
Brazil's 2024 reform (Lei 14.874) collapsed the double ethics review and capped ANVISA at 90 days — removing the barrier decision-makers cite most. In our research, 71% didn't know it yet. The window is open.

Brazil has the patients. See them made provable.

Whether you run a site or run clinical operations, TrialBridge shows you what's actually there — at the feasibility stage, where the decision is made.