The pioneering
AI-enabled eClinical
platform. Data integrity
by design.
EDC. eTMF. CTMS. eConsent. C2TA. One AI-enabled platform from study startup to first clinical study report. Real-time data integrity, integrated trial finance, and minimal-downtime architecture. FDA 21 CFR Part 11 from day one.
(IGMCRI)
(planned: 12 months)
live trials now
2022 to 2025
Who This Is For
Do you recognise yourself
in one of these?
The same process problem shows up differently depending on where you sit in a trial.
"We have a drug candidate. We have funding. We cannot spend $50K a month on software."
Bloqcube gives your team one system for every function at a price your trial budget can absorb.
"Eight trials. Five sponsors. A different system for each one. Someone is going to introduce a data quality problem we cannot find until audit."
Bloqcube keeps one verified source of truth across every trial. Real-time processing flags anomalies the moment they occur.
"My coordinator manages five sponsor portals and re-enters the same patient data three times. Patients keep asking where their payments are."
Bloqcube reduces the load at the point where it actually happens - fewer logins, no duplicate entry, patients paid the same day.
How It Works
Four data integrity challenges every trial faces.
Open each card for the fix.
Each card states the data integrity challenge and the documented outcome. Open it to read how Bloqcube addresses it at the system level.
30–40% of patients drop out before a trial ends. Travel is the main reason.
Outcome: 150 patients completed in 12 days on a study planned for 12 months.
Distance, repeated in-person visits, and 30 to 45 day payment delays drive dropout. Each dropout costs $50K to $200K and creates a protocol deviation.
Bloqcube's hybrid trial capability lets patients participate remotely. eConsent, ePRO, and AE reporting on any device. Real-time data flows directly from patient to sponsor without paper at any step.
Five systems that do not talk to each other create more quality risk than paper ever did.
Architecture: Distributed verified records with no single point of failure. Minimal-downtime under direct infrastructure attack.
Every data transfer between systems is a Quality by Design risk point. Re-entry errors accumulate silently. By the time audit finds them, they are in regulatory submissions.
EDC, eTMF, CTMS, eConsent, and C2TA in one integrated platform. Data does not transfer between tools - it lives in one cryptographically verified record from the moment of capture. Real-time processing, zero reconciliation cycles.
A safety signal that takes 48 hours to surface is a regulatory liability, not monitoring.
Compliance: FDA 21 CFR Part 11. GCP. ICH E6. HIPAA. GDPR. From day one.
GCP requires timely AE reporting. Real-time integrity monitoring means anomalies surface immediately - not in end-of-month reconciliation or pre-inspection preparation.
Every entry is cryptographically time-stamped at the moment of capture. Tamper-evident. The AI layer monitors continuously. Quality by Design means the system enforces data standards at entry - FDA inspectors review the audit trail and move on.
Patients wait 45 days for payment. Sponsors run budgets on last month's spreadsheet.
Unique: The only platform that connects clinical events to payment in real time. Nothing else does this natively.
Payment delays drive dropout. Budget opacity means financial decisions run on stale data. Clinical operations and finance are completely siloed from each other.
C2TA (patent pending) links clinical activity to real-time payment processing. Visit completed, payment triggered same day. Budget updates live. AI forecasts payment volumes and flags overruns before they occur.
The Platform
Build your trial stack
module by module.
Choose the modules your study needs today. Slot in more as your trials grow. Every module connects to the same verified data foundation - nothing migrates, nothing breaks, no integration fees between modules.
Start with EDC and eConsent. Add eTMF when you enter Phase II. Layer in CTMS when you go multi-site. Activate C2TA when payment delays start affecting retention. Add the AI layer when you need proactive anomaly detection.
Bloqcube AI.
Data integrity enforced
at every step of your trial.
Clinical trials lose time and data quality at invisible gates - data quality thresholds that cross in silence, enrollment rates that miss projections by 11 days, budget lines that overspend before anyone checks the spreadsheet. Bloqcube AI monitors your live trial continuously and flags quality exceptions the moment a threshold is crossed, not after damage is done.
At current resolution pace, this delays data lock by 11 days against your Sept 30 target.
3 of the 7 open queries are on the same CRF field - Visit 3, Vital Signs row 4. Likely a field-level logic issue. I can auto-escalate to the site coordinator and flag for a validation check. Proceed?
What We Are Built On
Six principles behind every design decision.
Not features. The structural reasons the platform works the way it does.
Case Studies
What happened when real
trials ran on Bloqcube.
Documented outcomes. Click any card to read the full story.
From the Blog
Written by the people
who built the platform.
Practitioners with decades inside pharma and regulatory. Not marketing content.
Recognised by
FAQs
Frequently asked questions about the platform.
Book a Demo
Bring your study.
We walk through it together.
30 minutes. No generic product tour. Bring your trial design and we show you exactly how Bloqcube handles it - which modules your study needs, what it costs, and a realistic go-live timeline.
- Live platform walkthrough on your trial type and phase
- Real-time data integrity demonstration on your CRF structure
- C2TA finance demo on your budget and payment model
- Module recommendation for your study today vs year two
- Transparent pricing - everything included, no surprises
- Go-live timeline specific to your study design
The People Behind It
Built by people who spent their careers inside the problem.
Not software engineers who studied clinical trials. People who ran them.