Capabilities
What we operate, and what we build.
Two layers: the field operations we run today, and the software we build to make those operations measurably better than the paper-and-WhatsApp baseline.
Field operations
The operations layer, codified.
We run population-scale screening camps end-to-end. Every camp is an opportunity to convert operational habit into operational IP — through documentation discipline that compounds across studies and sponsors.
Camp operations
- Site selection and community engagement
- Recruitment for asymptomatic, high-risk, and family-history cohorts
- Eligibility screening, informed consent, and on-site participant flow
- Standardised camp staffing and supervision structures
Last-mile logistics
- Cold-chain protocols designed for Indian climatic realities
- Sample integrity validation under transport stress
- Vendor networks and on-the-ground operational partnerships
- Per-camp logistics tailored to semi-rural infrastructure
Sample handling & chain-of-custody
- QR-tagged collection and tracking from camp to laboratory
- Time-stamped chain-of-custody at each handoff
- Documented contamination and seal-integrity checks
- Source-document discipline for regulatory traceability
CRC capability
- Documented training curriculum for Clinical Research Coordinators
- Productivity benchmarks and supervision frameworks
- Field-condition operating procedures, in regional languages
- Tacit knowledge codified into written artefacts
Software systems
Five candidate systems we build, one at a time.
We build deliberately — when there is a compelling product reason and a funding source that fits. Each system is sponsor-agnostic by design, and each addresses an operational gap visible from running real camps.
Recruitment & eligibility intelligence
Problem
Clinical studies and screening programs in India fail on enrolment, not on science.
What we deliver
A multilingual intake interview that takes a participant's history, structures it against eligibility criteria, and surfaces likely matches. Combines available patient information, community health worker networks, and ML-based pre-screening for asymptomatic high-risk and family-history cohorts.
Field-level data capture
Problem
EDC systems are built for hospital coordinators with broadband and laptops — not for camp-based collection in semi-rural India.
What we deliver
Offline-first, voice-enabled, multilingual electronic case report forms with built-in source-document capture. Designed for CRCs whose primary input device is a phone, in conditions of intermittent connectivity and multiple regional languages.
Sample integrity verification
Problem
Sample integrity at scale depends on field-level discipline that paper logs can't enforce.
What we deliver
Phone-camera-based verification of seal integrity, condensation or contamination signs on collection masks, ambient temperature logging, and time-stamped chain-of-custody at each handoff. Generates structured operational data and a defensible quality-assurance trail.
Adverse event detection
Problem
Outcome tracking is a regulatory expectation. At population scale, follow-up arrives as call notes and WhatsApp messages — not structured data.
What we deliver
An NLP layer that ingests unstructured follow-up communications and surfaces protocol-defined adverse event and serious adverse event signals. Generalises across studies and modalities.
Yield optimisation
Problem
Where you run the next camp determines whether you hit enrolment — and most decisions are made on intuition.
What we deliver
A predictive model over aggregate operational data — site yield, cohort types, cost, dropout patterns, catchment characteristics — that recommends where to run the next camp. Operational machine learning, owned by DBPL.
Operating standards