Now in Development  ·  Early Access Open

Recruitment Intelligence for Clinical Trials.

EnrollIQ is the recruitment intelligence layer for sponsors, CROs, and research sites — real-time funnel visibility, AI-powered enrollment forecasting, and one patient record preserved across every study.

0
Of trials miss enrollment timelines
Tufts CSDD
0
Terminated trials cite low enrollment
Applied Clinical Trials
$8M
Avg cost per day of delay
Industry estimate
5%
Of eligible patients ever participate
FDA / CISCRP
Get Early Access → See the Platform ↓
Sponsor Visibility Universal Patient Record AI Enrollment Forecasting Append-Only Event Store Live Funnel Analytics Screen Fail Intelligence Referral Source ROI CTMS Integration Layer HIPAA-Ready Architecture Site Performance Benchmarking Healthcare Expansion Roadmap Predictive Analytics Sponsor Visibility Universal Patient Record AI Enrollment Forecasting Append-Only Event Store Live Funnel Analytics Screen Fail Intelligence Referral Source ROI CTMS Integration Layer HIPAA-Ready Architecture Site Performance Benchmarking Healthcare Expansion Roadmap Predictive Analytics

Patient recruitment has a data gap.

Published research consistently identifies the same root causes behind enrollment failures. The technology to address them exists — it just hasn't been applied to this layer of the problem.

🗑️
Recruitment history is not preserved
Standard CTMS platforms store a patient's current status — not their journey. Every transition overwrites the last. The analytical value of how patients move through the funnel is permanently lost.
→ Documented across clinical CTMS architecture literature
👤
No unified patient identity across studies
A patient referred to two studies at the same site exists as two disconnected records. Prior contact history and eligibility context are invisible on the second referral.
→ Common pattern in multi-study site network operations
📐
Inconsistent workflows prevent benchmarking
When sites define the same status differently, data becomes incomparable across a network. Sponsors cannot identify what's working or where process improvement has the most impact.
→ Tufts CSDD multi-site performance research
📊
Sponsor visibility arrives too late to act
By the time sponsors receive enrollment reports, the data is weeks old. Studies falling behind are identified after the easy intervention window has passed.
→ Applied Clinical Trials, Tufts CSDD
0
billion dollars spent annually on patient recruitment in the US — with 80% of trials still missing their timelines.
Source: Tufts Center for the Study of Drug Development
0
% coordinator workforce decline since 2018
$1,200
average cost per screen failure
▶ What sponsors need — in real time
Are we on track? Which sites are performing? Where are patients dropping out? What's our screen fail rate? Which referral sources produce enrolled patients — not just leads?

These questions should have live answers. That's what EnrollIQ is built to provide.

Five views. Complete clarity.

Built for every role in the recruitment funnel — coordinators get simplicity, sponsors and operations teams get structured data and live analytics.

enrolliq.app / dashboard
Live
E
ENROLLIQ
Overview
📊Dashboard
Add Lead
👥Patients 1,284
Analytics
🔮Predictor
📡Referral ROI
Speed Metrics
Admin
🏥Sites
🔬Studies
Study Portfolio Overview
All Sites · All Studies · Live · Auto-refreshes every 5 min
Active Leads
1,284
↑ 12% vs last month
In Screening
342
↑ 8% vs last month
Enrolled
87
↑ 5% vs last month
Screen Fail Rate
42%
↑ 3% — flag
Recruitment Funnel · Alzheimer's Study A · All Sites
New Lead
284
Contacted
204
Pre-Screened
156
Scheduled
108
In Screening
62
Enrolled
34
Conversion Rates · Sponsor View
71.8%
Lead → Contact
76.5%
Contact → Screen
55.7%
Screen → Enroll
28
Leads per Enroll
enrolliq.app / patients / #4821
Patient Record
E
ENROLLIQ
Navigation
📊Dashboard
👥Patients
Analytics
🔮Predictor
M
Margaret D., 68
San Antonio, TX First contact: Jan 14, 2025 3 Study Branches · Full History Preserved
Contact Info
Phone(210) 555-0192
Emailm.davis@email.com
PreferredMorning calls
Referred byPhysician
Interaction Timeline
Enrolled — Memory Study B
Mar 01, 2025 · 09:14am
Screening Visit Completed
Feb 22 · 02:30pm · All labs in range
SMS reminder sent
Feb 20 · 10:02am · Auto-logged
Study Branches — Every Status Change Preserved, Never Overwritten
Memory Study B — Phase II
Started Jan 14, 2025
Enrolled
Alzheimer's Study A — Phase III
Started Mar 04, 2025
Pre-Screening
Obesity Study C — Phase II
Sep 2024 · Screen fail reason logged
Screen Failed · BMI criteria
enrolliq.app / pre-screen / alzheimers-study-a
Eligibility Tool
E
ENROLLIQ
Tools
🧪Pre-Screener
📋Criteria Builder
Studies
🔬All Studies
Pre-Screening Tool
Alzheimer's Study A · Phase III · Site 2 · Coordinator view
Alzheimer's Study A — Phase III
Sponsor target: 40 enrolled · 12 remaining · On track
Active
Question 3 of 743% complete
3. Has the patient been diagnosed with mild cognitive impairment (MCI) or early-stage Alzheimer's by a licensed physician?
Yes — formal diagnosis on record
No — family concern only, no formal diagnosis
Unsure — patient is checking with their doctor
Likely Eligible — Continue to Scheduling
Passed 3 of 3 criteria reviewed · 4 remaining · All outcomes auto-logged to patient record
enrolliq.app / predictor
Enrollment Intelligence
E
ENROLLIQ
Analytics
🔮Predictor
📡Referral ROI
Speed Metrics
Enrollment Predictor
Powered by your site's actual historical conversion data — not industry averages
Study
Alzheimer's Study A
Sponsor Target
40 patients
Currently Enrolled
28 patients
Sponsor Close Date
June 30, 2025
📊 Live Forecast · Last 90 Days of Site Data
Additional patients needed12 more
Leads required at 28% conversion rate43 leads
Projected completion at current paceAug 14, 2025
Days behind sponsor target45 days
⚠️
At 3.2 new leads/week, this site misses the June 30 deadline by ~45 days. Increasing to 6.8/week closes the gap on time. Sponsor notified automatically.
enrolliq.app / analytics / referral-roi
Live Analytics
E
ENROLLIQ
Analytics
🔮Predictor
📡Referral ROI
Speed Metrics
Referral Source Intelligence
Sponsor & CRO view · All Sites · Last 90 days · By enrollment conversion rate
Source
Leads
Enrolled
Rate
Volume
Physician Referral
84
31
36.9%
Community Outreach
142
36
25.4%
Patient Database
67
14
20.9%
Facebook Ads
318
18
5.7%
Google Ads
204
8
3.9%
🤖 AI Insight
Physician referrals convert at 9× the rate of digital ads. Reallocating 20% of ad spend toward physician outreach programs projects +14 additional enrollments this quarter.

A data-first architecture.

EnrollIQ is built around core architectural principles — not layered on existing systems as an afterthought. The intelligence emerges from the structure itself.

01 · Data Layer
Append-Only Event Store
Every patient status change is a timestamped, immutable event. Nothing is ever overwritten. Universal patient identity persists across all studies and all sites.
Event SourcingUniversal Patient GraphImmutable History
02 · Intelligence Layer
AI-Powered Forecasting
Enrollment forecasting, screen-fail prediction, referral ROI modeling, and anomaly detection — powered by each site's actual conversion history, not industry averages.
Forecasting ModelsAnomaly DetectionPredictive Analytics
03 · Integration Layer
CTMS & Tool Connectivity
An open API designed to sit alongside — not replace — existing CTMS platforms, EHRs, and EDC tools. EnrollIQ handles the recruitment intelligence layer. Clinical systems handle what they already do well.
Open REST APICTMS PlatformsEHR SystemsEDC Tools
04 · Roadmap
Healthcare-Wide Expansion
The same architecture that solves recruitment for clinical trials has broader application across healthcare — patient engagement, care coordination, and population health tracking.
Phase 2Healthcare NetworksPopulation Health
Sponsor / CRO / Site Director
Live Dashboards
Enrollment Forecast
Risk Alerts
Intelligence Layer
Forecasting Engine
Referral ROI Model
Screen-Fail AI
Core Data Layer
Append-Only Event Store
Universal Patient Graph
Coordinator Workflow
Pre-Screener
Patient Profile
Communications
Integration Layer
CTMS Platforms
EHR Systems
EDC Tools
🤖 AI Integration Vision
ML forecasting, NLP-based screen-fail classification, and pattern recognition across multi-site networks — surfacing actionable insights without requiring analysts to ask for them.

Doing the work produces the intelligence.

A coordinator logs one interaction and analytics update automatically. No separate reporting step. No manual export. The data builds itself.

01 / CAPTURE
🎯
One Patient. Every Study.

Every lead enters as a universal patient record — not a study-specific record. Prior interaction history, eligibility notes, and contact context are immediately visible when a patient is referred to a second study. No re-entry. No lost context.

02 / TRACK
📋
Every Transition Preserved.

Every status change is a timestamped event in an append-only record. Nothing is overwritten. Sponsors can see conversion rates, time-in-stage, and drop-off patterns going back to day one — because the history was never deleted.

03 / FORECAST
🔮
Intelligence Before It's Needed.

Enrollment forecasts, site benchmarks, referral ROI, and speed metrics update continuously. Sponsors see risk before it becomes a missed milestone. Sites see exactly what they need to act on. Everyone operates on the same live data.

Built for every role. Useful from day one.

🔮
Enrollment Forecasting

AI-powered projections based on each site's actual historical conversion rates. Sponsors know months in advance whether a study is on track — and exactly what it would take to close a gap.

👤
Universal Patient Profile

One record per patient across all studies and all sites. Full interaction history and status timeline — preserved forever, never overwritten. Context that transfers from study to study.

📊
Live Funnel Dashboards

Real-time sponsor and site director views filterable by site, study, date range, referral source, and coordinator. Always current, no manual exports, no waiting on reports.

🔗
CTMS & Tool Integration

Open API designed to connect with any CTMS platform, EHR, or EDC tool your sites already use. EnrollIQ handles recruitment intelligence — your clinical systems handle what they do well.

📡
Referral Source Intelligence

Full conversion and ROI breakdown by every referral source. Sponsors see which channels produce enrolled patients — not just leads — and where to reallocate recruitment spend.

Speed & Response Metrics

Time-to-first-contact, contact-to-screen velocity, no-show rates by site and time of day. Identify exactly where patients disengage before they drop out of the funnel.

🧪
Configurable Pre-Screener

Study-specific eligibility questionnaires with branching logic. Every outcome — pass, fail, reason — automatically logged and included in sponsor analytics. Reduce screen failures before they happen.

💬
Integrated Communications

SMS and email sent directly from the patient profile. Every message auto-logged to the interaction timeline — full communication history always accessible, no separate CRM needed.

🏥
Multi-Site Network Control

Network admins, site directors, coordinators, and sponsor users — each with role-based access that matches real organizational structures. Sponsor-level visibility without coordinator-level noise.

Fits your existing workflow.

EnrollIQ is designed as an integration-ready intelligence layer — not a replacement for the systems your sites already use. An open API means it connects to whatever CTMS, EHR, or EDC platform your network runs on.

Any CTMS via REST API
SMS & Email Providers
EHR Systems
EDC Platforms
eConsent Tools
Patient Registries
Sponsor Reporting
Decentralized Trial Tools

Green = designed for at launch  ·  Gray = roadmap  ·  Don't see your system? Tell us what you use →

Built to become a real platform company.

EnrollIQ is being developed with a clear company vision — bringing together clinical research insight, modern product thinking, data architecture, and platform engineering to build a serious recruitment intelligence platform for sponsors, CROs, and site networks.

V
VASANTH MANNE
Founder · EnrollIQ
Clinical Research Data Analytics Infrastructure Healthcare Workflows

The goal is not just to visualize recruitment data better. The goal is to build the intelligence layer this part of clinical research has been missing.

Working closely with clinical research data exposed a repeated pattern: patient movement gets lost, recruitment history gets overwritten, referral performance stays opaque, and sponsor visibility comes too late to meaningfully change outcomes.

Those gaps are not just reporting issues — they come from the way the systems are structured. EnrollIQ is being designed to solve that at the foundation level with durable patient history, cleaner operational workflows, and live intelligence built directly into the platform.

EnrollIQ is being shaped as a product company with long-term platform potential — not just a single dashboard or reporting layer.
T
MAHAMMAD THUFAIL
Co-Founder · EnrollIQ
Platform Engineering Frontend Systems Product Design

EnrollIQ is being built to feel like modern software from every angle — elegant on the surface, structured underneath, and credible enough to earn trust immediately.

The product experience matters just as much as the intelligence layer. For a platform like this to feel legitimate, it has to combine clarity, precision, speed, and strong systems thinking — not just functional screens.

That is the direction behind the build: a polished software product that can grow into a category-defining company, with strong frontend execution, platform depth, and a real long-term product foundation.

The company vision is to build a serious software platform around recruitment intelligence — one that feels operationally useful today and strategically scalable over time.

Help shape what gets built.

EnrollIQ is in active development. Early access is open — especially for sponsors, CROs, site directors, and operations teams who want input on the product direction.

No spam. No sales calls. Updates only when something meaningful is ready.