Platform Solutions

End-to-End Clinical Trial Intelligence

One platform for protocol intelligence, site matching, feasibility automation, and study startup — evidence-grounded, auditable at every step, and built for deterministic workflows in regulated environments.

Platform Architecture

Five-Stage Intelligent Workflow

From raw documents to fully activated trials — every stage automated, every decision data-driven.

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Ingest & Extract
  • check_circle Full PDF/DOC ingestion
  • check_circle 100+ variables extracted
  • check_circle Structured knowledge graph
psychology
Protocol Intelligence Engine
  • check_circle Knowledge graph document retrieval
  • check_circle Criteria extraction & validation
  • check_circle Clinical ontology enrichment
location_on
Site & PI Matching
  • check_circle Persistent site-PI relationships
  • check_circle ClinicalTrials.gov integration
  • check_circle PubMed publication matching
fact_check
Feasibility Automation
  • check_circle Auto-generated surveys
  • check_circle Intent recognition pre-fill
  • check_circle 80%+ manual reduction
insights
Study Activation & Monitoring
  • check_circle Auto-assign tasks & milestones
  • check_circle Dynamic BI dashboards
  • check_circle Real-time enrollment tracking

check Deployable in your cloud environment | HIPAA-compliant infrastructure

Platform in Action

See What the Platform Produces

Real output from live deployments — structured intelligence generated automatically from raw trial data.

Protocol Intelligence Engine

From Raw Protocols to Structured Insight

The platform automatically ingests trial documents and extracts the pharmacological mechanisms, drug classes, and intervention types — turning unstructured PDFs into queryable, structured knowledge.

  • check_circle 100+ variables extracted per protocol
  • check_circle Drug class and MoA classification
  • check_circle Validated against clinical ontologies
Pharmacological Mechanisms of Action dashboard
Site & PI Matching

Decades of Trial History, Instantly Searchable

The platform maps every investigator's trial history across phases, years, and therapeutic areas — so site selection is based on proven track record, not guesswork or outdated spreadsheets.

  • check_circle Phase and timeline visualisation per indication
  • check_circle ClinicalTrials.gov + PubMed integrated
  • check_circle Persistent profiles regardless of PI movement
Prostate Cancer Trials Phase vs Start Year visualisation
Under the Hood

Built to be trusted, not just used.

Every answer the platform produces is generated over validated, retrieved evidence — not model memory. A five-stage retrieval-and-reasoning pipeline ensures outputs are grounded, auditable, and consistent across sessions, users, and regulatory environments.

How the reasoning works arrow_forward
  • hub
    Graph-grounded retrieval
    Candidate records expand into connected subgraphs of trials, investigators, conditions, and sites — so the model reasons over relationships, not keyword matches.
  • rule
    Full audit trail
    Every output carries a traceable record of the tools called, datasets referenced, and evidence available — defensible to a medical monitor or regulator.
  • filter_alt
    Evidence compaction
    Subgraphs are deduplicated and compacted before synthesis, giving the model dense, structured context rather than a noisy data dump — the primary control on hallucination.
  • dataset
    Deterministic by design
    Datasets are managed as validated references with cached previews, not re-ingested on every call — ensuring consistent answers across sessions and teams.
Core Capabilities

Six Integrated Modules

description
Protocol Intelligence
AI automatically extracts 100+ structured variables from clinical trial protocols, including inclusion/exclusion criteria, endpoints, visit schedules, and site requirements. No manual data entry required.
people
Site & PI Profiles
Persistent investigator-site relationship tracking. Captures therapeutic expertise, historical enrollment data, patient population characteristics, and infrastructure capabilities. Profiles persist regardless of PI movement.
fact_check
Smart Feasibility
Auto-generates customized feasibility surveys based on protocol requirements. Pre-populates responses from site profiles using intent recognition. Reduces manual feasibility effort by 80% or more.
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Community Marketplace
Competitive bidding platform for sites to showcase capabilities and respond to opportunities. Sponsors gain transparency into site capacity, enabling better-informed selection decisions and faster activation.
rocket_launch
Automated Study Startup
Auto-assigns training tasks, regulatory milestones, and enrollment targets across downstream systems. Integrates with your existing tools. Reduces startup time by 15-20% with full task visibility and accountability.
analytics
Real-Time Monitoring
Enrollment gap alerts flag sites at risk before problems escalate. Dynamic BI dashboards provide real-time visibility into study progress, site performance, and patient recruitment pipeline.
Enterprise-Ready

Integrated & Deployable

Research Lambda integrates seamlessly with your existing infrastructure. Deploy in your cloud environment with full data security, compliance, and control.

  • check_circle Cloud-agnostic deployment (AWS, Azure, GCP)
  • check_circle HIPAA & SOC 2 Type II compliant
  • check_circle API-first architecture for integrations
  • check_circle Real-time data sync with your EDC & RDBMS
  • check_circle 99.9% uptime SLA
cloud
Deployment
Self-Hosted or Managed

Run on your infrastructure with your security, data governance, and compliance standards. We handle updates and scaling.

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Integration
Pre-Built Connectors

Connect with Medidata Rave, Veeva, Oracle, REDCap, and other leading platforms. REST & GraphQL APIs for custom integrations.

The Transformation

Old Way vs. New Way

The Old Way

  • close Manual protocol review
  • close Spreadsheet-based site selection
  • close Paper feasibility surveys
  • close 11% zero-enrollment sites
  • close Weeks of manual startup tasks
  • close No real-time visibility
  • close $1B+ annual suboptimal spend

The New Way

  • check_circle AI extracts 100+ variables
  • check_circle AI-driven site matching by profile
  • check_circle Auto-generated feasibility surveys
  • check_circle Eliminates zero-enrollment sites
  • check_circle Automated task assignment
  • check_circle Real-time enrollment alerts
  • check_circle 15-20% faster study startup

Ready to Transform Your Site Selection & Study Startup?

See how Research Lambda's evidence-grounded clinical AI reduces manual work, eliminates zero-enrollment sites, and accelerates study activation.

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