Grove AI ensures reliable clinical trial recruitment with Hamming

Grove AI automates clinical trials, using AI to streamline participant recruitment and engagement.
Grove AI
Location
San Francisco, CA
Industry
Clinical trials AI
Funding
Seed ($4.9M)
Use cases
  • Clinical trial participant screening
  • HIPAA-compliant voice interactions
  • Multi-language patient engagement
  • Real-time call quality monitoring
“Hamming gives us incredible peace of mind. We can confidently test and monitor all of Grace's phone calls for patient safety and quality of care.”
Sohit Gatiganti
Co-Founder and CPO, Grove AI

About Grove AI

In clinical trials, every interaction matters. A missed eligibility question or wrong information can disqualify a participant or, worse, put patient safety at risk. Grove AI needed testing as rigorous as its regulatory environment. With Hamming, the team can:

  • Monitor call quality and keep a high standard of patient care
  • Stay HIPAA compliant while giving patients accurate information
  • Check how Grace handles complex medical terminology and patient conversations
  • Catch compliance issues before they reach production

The challenge: HIPAA compliance at scale

Clinical trial recruitment runs under strict regulatory oversight. Every patient interaction must be documented, every eligibility question asked correctly, and every piece of medical information handled to HIPAA standards. Manual QA could not keep pace with call volume.

Before Hamming, the Grove team spent hours a day reviewing call recordings. Even with dedicated QA staff, they could sample only 5 to 10% of calls, and critical compliance issues sometimes went unnoticed until a research partner or regulator flagged them.

The stakes were high. One instance of Grace sharing wrong trial information or failing to verify a patient's identity could bring regulatory action, damage partner relationships and, most of all, put patients at risk.

Calls reviewed for compliance165K+ conversations analyzed
Before HammingQA staff, sampling
5–10%
With Hammingautomated QA
100%
Fig. 1 · Calls reviewed for compliance, before and with Hamming

The healthcare compliance challenge

  • 5 to 10% coverage. Manual QA reviewed a fraction of calls, leaving compliance gaps.
  • Regulatory risk. Undetected issues could draw FDA scrutiny or IRB concerns.
  • Partner trust. Pharmaceutical sponsors expected thorough quality documentation.
  • Patient safety. Wrong medical information could harm participants or invalidate trials.

The impact

Conversations analyzed for quality and compliance
165K+
Patient satisfaction rate maintained
97%
Call coverage with automated QA
100%
Real-time quality monitoring
24/7

Before and after Hamming

MetricBefore HammingWith Hamming
Call QA coverageBefore Hamming5 to 10% of callsWith Hamming100% of calls
Time to detect a compliance issueBefore HammingDays to weeksWith HammingReal-time alerts
Pre-deployment test scenariosBefore HammingAbout 50 manual testsWith Hamming1,000+ automated scenarios
HIPAA compliance checksBefore HammingSpot-check samplingWith HammingAutomated checks on every call
Partner audit readinessBefore HammingReports built by handWith HammingAutomated compliance dashboards

How Hamming helps Grove AI

  • 01

    Automated voice agent testing

    Hamming tests Grace across thousands of participant screening scenarios before deployment, replacing hundreds of hours of manual testing. Grove checks Grace's handling of medical terminology, multiple languages, and varied participants while staying HIPAA compliant.

    HIPAA and clinical workflow testing checklist

  • 02

    Real-time call analytics

    Call analytics show Grove where Grace needs to improve, with insight into every participant interaction. Continuous monitoring and instant alerts let the team fix issues quickly and keep quality consistent.

    Guide to AI voice agent quality assurance

  • 03

    Compliance monitoring and reporting

    Compliance reports show healthcare partners that Grace is reliable, and automated monitoring keeps every participant interaction within strict standards, with audit trails for regulators.

  • 04

    Medical terminology checks

    Hamming tests whether Grace explains conditions, procedures, and eligibility criteria in patient-friendly language without losing accuracy, and flags where Grace oversimplifies or miscommunicates.

Why Grove AI chose Hamming

Grove AI evaluated several testing platforms and found most lacked the healthcare capabilities it needed. Hamming's HIPAA-compliant infrastructure, medical terminology testing, and compliance reporting made it the clear choice.

Scenarios that probe healthcare edge cases, like patients volunteering medical history when they should not, set Hamming apart from general-purpose testing tools.

  • HIPAA-compliant infrastructure designed for healthcare
  • Medical terminology testing for accurate patient communication
  • Automated compliance reports that satisfy partner audits
  • 100% call coverage instead of sampling-based QA
  • Real-time alerts that catch issues before they reach patients

The results

Grove AI moved from reactive compliance management to proactive quality improvement. Partner audits that took weeks of preparation now take hours, with reports generated automatically.

Most importantly, patient safety improved. With every call covered, the team catches issues immediately. The 97% patient satisfaction rate reflects good agent performance and the confidence of knowing every interaction is monitored.

What changed

  • 01

    165K+ calls monitored, every one covered

    Every call Grace makes is analyzed for compliance, accuracy, and quality, with no sampling. The team sees agent performance across every interaction.

  • 02

    97% patient satisfaction maintained

    Consistent monitoring keeps Grace reliable and accurate on every call. Patient feedback highlights how professional and helpful the calls are, which builds trust in AI-assisted recruitment.

  • 03

    Audit-ready compliance documentation

    Automated compliance reports document testing, monitoring, and quality metrics, so Grove AI can show its quality process to any stakeholder at any time.

“In healthcare, you can't afford to guess whether your AI is working correctly. Hamming gives us the confidence to scale Grace knowing every interaction is tested and monitored. Our partners trust us because we can prove our quality, not just claim it.”
Sohit Gatiganti
Co-Founder and CPO, Grove AI

What's next

Grove AI is expanding Grace to support more complex, multi-stage clinical trials and more therapeutic areas, and with Hamming's testing in place it is rolling out to new pharmaceutical partners faster.

The team is also using Hamming's analytics to find interaction patterns that improve Grace's conversations while keeping strict compliance standards.