# Trialgate

*/Startups/Trialgate*

## Startup Overview

This system parses unstructured medical records directly against complex clinical trial protocol criteria. It ingests patient charts, physician notes, and lab results, extracting the specific variables required to determine eligibility for clinical research. By processing raw healthcare data, the software eliminates the need for manual chart hunting and aligns patient profiles with exact study requirements.

Clinical research organizations and site coordinators currently rely on manual review to identify trial candidates, leading to missed enrollment targets and delayed studies. This tool removes the manual screening bottleneck by automating the validation of inclusion and exclusion criteria at the document level. It transforms disorganized patient data into clear qualification checklists for trial administrators.

Unlike broad patient-matching networks like Deep6 AI and TrialSpark, this solution is purely deterministic in its protocol matching. It surfaces only candidates who explicitly meet the defined clinical thresholds, stripping out probabilistic false positives. The service operates on an outcome-priced model tied directly to enrolled patients, replacing upfront software subscriptions with fees based entirely on actual enrollment success.

## Startup Founding Hypothesis

**Approach**: that parses unstructured medical records against complex protocol criteria
**Competitors**:
- [Deep6 AI](/Competitors/Deep6_AI)
- [TrialSpark](/Competitors/TrialSpark)
- [manual site coordinator review](/Competitors/manual_site_coordinator_review)
**Differentiator2x2**: outcome-priced per enrolled patient and purely deterministic in protocol matching

## Startup Solution Coordinate

**Solution**: [Protocol Enrollment Engine](/Services/Protocol_Enrollment_Engine)

## Startup Position2x2

```mermaid
quadrantChart
x-axis "Fixed Cost / SaaS Pricing" --> "Outcome-Priced Per Patient"
y-axis "Probabilistic / Manual Matching" --> "Deterministic Rule Matching"
quadrant-1 "Guaranteed Enrollment"
quadrant-2 "Strict Rule Engines"
quadrant-3 "Legacy / AI Guesses"
quadrant-4 "Tech-Enabled Services"
"Trialgate": [0.85, 0.85]
"Deep6 AI": [0.25, 0.40]
"TrialSpark": [0.65, 0.35]
"Manual Review": [0.10, 0.15]
```

## Startup Offer

**Proof**:
- Targeting a complete elimination of false-positive referrals for complex oncology protocols
- Aiming to reduce manual site coordinator chart review time by 80%
- Designed to surface eligible patients within 24 hours of initial record ingestion
**Tiers**:
- Name: Pilot Site · Price: ~$1,500–$2,500 per enrolled patient · Inclusions: Deterministic matching for 1 to 3 active trial protocols at a single clinical site, processing up to 10,000 patient records via secure bulk upload.
- Name: Multi-Site Network · Price: ~$2,000–$3,500 per enrolled patient · Inclusions: Matching across up to 10 protocols with intended EMR directory integrations for continuous record ingestion across multiple clinic locations.
- Name: Enterprise Sponsor · Price: ~$3,500–$5,000 per enrolled patient · Inclusions: Unlimited protocols, custom deterministic rules engine access for complex criteria, and priority intended integration with sponsor EDC systems.
**Guarantee**: Trialgate stands behind its deterministic matching: if a referred patient fails screening due to an exclusion criterion clearly documented in the ingested records, the enrollment fee is completely waived.
**Business Function**: ProvideService
**Objection Handlers**:
- Objection: We cannot pay upfront for software that might not find anyone. Rebuttal: The commercial model is strictly outcome-based; you pay zero for chart processing, only for successfully enrolled patients.
- Objection: AI hallucination is dangerous in clinical trial screening. Rebuttal: Trialgate relies on purely deterministic protocol matching, enforcing strict rules rather than probabilistic guessing.
- Objection: Our medical records are highly unstructured and full of shorthand. Rebuttal: The system is designed to parse raw clinic notes, PDFs, and non-standard shorthand into structured medical ontologies before applying the deterministic rules.
- Objection: Integrating a new tool requires heavy IT security review. Rebuttal: Intended for deployment within existing HIPAA-compliant boundaries, ensuring PHI never leaves the host institution's private cloud.
**Pricing Architecture**: UsageMeter
**Agent Checkout Support**:
- agentic-commerce-protocol

## Startup Brand

**Voice**: Authoritative clinical register characterized by rigid, deterministic exactitude.
**Tagline**: Deterministic patient matching for clinical trial enrollment.
**Icon Concept**: clipboard
**Palette Intent**: institutional-cool
**Visual Identity**: Sterile whites and deep surgical blues anchor a precise typographic hierarchy, supported by structural line-work referencing medical chart extraction.
**Archetype Reference**: the-sage

## Startup Buyer Chain

**Chain**: B2B → Clinical Research Site → Trial Sponsor
**Gtm Motion**: Acquires clinical research sites using a zero-risk, pay-per-enrolled-patient pricing model to overcome initial budget objections. Expands by deploying the deterministic parser across the site's entire active portfolio of clinical trials once the first protocol meets its enrollment quota.
**Agent Channel**: Designed to list in the LangChain tool registry and emerging healthcare API directories as a deterministic protocol-matching endpoint, allowing patient-facing or sponsor-side discovery agents to query site-level eligibility criteria.
**Primary Channel**: Direct outbound targeting Principal Investigators and Site Coordinators, using newly registered site-level study postings on ClinicalTrials.gov as the trigger event.

## Startup Customer Journey

```mermaid
flowchart LR; A[ClinicalTrials.gov Listing] --> B[Principal Investigator]; B --> C[Patient Medical Record]; C --> D[Deterministic Parser]; D --> E[Enrolled Patient]; E --> F[Trial Portfolio]; F --> G[Sponsor EDC System]; G --> H[LangChain Tool Registry];
```

## Startup Proof Points

_Illustrative — target and order-of-magnitude estimate figures, not an achieved track record (this Thing is concept-stage)._

**Pilot Goals**:
- 30-day single-site pilot processing 10,000 historical patient records via secure bulk upload to prove the system identifies all previously enrolled patients and uncovers new eligible candidates.
- 60-day multi-protocol pilot at an oncology center to demonstrate zero false-positive referrals passed to the clinical team for final screening.
**Target Metrics**:
- Target: 0 false-positive referrals for complex oncology protocols
- Aim: 80 percent reduction in manual chart review hours by site coordinators
- Target: 24-hour turnaround from initial record ingestion to surfacing an eligible patient profile
- Target: 100 percent fee waiver enforcement for referrals failing screening due to documented exclusion criteria
**Target Case Studies**:
- Mid-sized oncology clinic network: Target automating the parsing of unstructured clinic notes to identify eligible patients for complex Phase II trials, eliminating manual chart review backlogs.
- Large clinical trial site management organization: Target integrating continuous EMR ingestion across 5 locations, aiming to double the monthly enrollment rate for active protocols without hiring additional site coordinators.
- Enterprise pharmaceutical sponsor: Target deploying custom deterministic rules for a rare disease protocol, aiming for a complete elimination of false-positive referrals from participating clinical sites.
**Testimonial Targets**:
- Principal Investigator: Needs to validate that deterministic matching provides absolute confidence by enforcing strict protocol rules rather than probabilistic guessing.
- Clinical Site Coordinator: Needs to express relief that automated PDF parsing removes hours of daily manual chart review, allowing them to focus on patient interaction.
- Trial Sponsor Director: Needs to confirm that receiving only highly qualified, pre-vetted patient referrals accelerates enrollment timelines with zero upfront software costs.

## Startup Top Risks

**Risks**:
- Severity: existential · Description: Major EHR vendors or hospital IT departments block access to the raw unstructured medical records required for the parsing engine. · Mitigation Status: unmitigated
- Severity: high · Description: The outcome-based pricing model starves the company of operating cash flow due to the long lag between patient identification and official trial enrollment. · Mitigation Status: in-progress
- Severity: high · Description: Purely deterministic protocol matching fails on the extreme variability of clinician shorthand and typos in unstructured notes, missing eligible patients. · Mitigation Status: in-progress
- Severity: moderate · Description: Manual site coordinators refuse to trust the automated deterministic output and duplicate the review process, stalling product adoption. · Mitigation Status: unmitigated

## Startup Competitors

- [Deep6 AI](/Competitors/Deep6_AI) — AI Platform
- [TrialSpark](/Competitors/TrialSpark) — Trial Network
- [Manual Site Coordinator Review](/Competitors/Manual_Site_Coordinator_Review) — Status Quo
- [TriNetX Analytics](/Competitors/TriNetX_Analytics) — Data Network
- [Antidote Match](/Competitors/Antidote_Match) — Patient Recruitment

## Startup Solution Stack

- [Guaranteed Patient Enrollment Service](/Services/Guaranteed_Patient_Enrollment_Service) — Service-as-Software
- [Protocol Criteria Parsing Agent](/Agents/Protocol_Criteria_Parsing_Agent) — Agent
- [Medical Record Extraction Worker](/Agents/Medical_Record_Extraction_Worker) — Agent
- [Deterministic Matching Engine](/Software/Deterministic_Matching_Engine) — Software
- [Document Ingestion API](/Software/Document_Ingestion_API) — Software

## Startup Story Brand

**Hero**:
- **Need**: to be the high-performing investigator who accelerates medical breakthroughs, not a clerk digging through PDFs
- **Want**: to fill clinical trial enrollments without manual chart review bottlenecks
- **Identity**: the clinical site coordinator at a high-volume oncology center
**Plan**:
- Step: Upload records · Detail: Submit your unstructured clinic notes or bulk PDF exports into our secure private cloud environment.
- Step: Verify criteria · Detail: Review the deterministic matches mapped against your specific trial protocols and exclusion logic.
- Step: Enroll patients · Detail: Contact the identified eligible candidates and pay only when they are successfully randomized.
**Guide**:
- **Empathy**: Does your chart-pulling process still miss eligible patients hidden in unstructured clinic notes?
**Problem**:
- **Villain**: manual site review
- **External**: Site coordinators spend weeks manually cross-referencing patient records against TrialSpark protocols only to have 60% fail screening at the EDC entry stage
- **Internal**: You feel the crushing weight of missed enrollment deadlines and the frustration of chasing false-positive candidates
- **Philosophical**: Clinical research was built for scientific discovery, not for losing qualified patients to clerical fatigue.
**Success**: You surface every eligible patient within 24 hours of record ingestion with zero false-positives and zero upfront software costs.
**One Liner**: Instead of losing weeks to manual chart review, Trialgate parses unstructured records for deterministic matching — ensuring you only pay for successfully enrolled patients.
**Positioning**:
- **So That**: eliminate screen-fails and pay only for successfully enrolled patients
- **Unlike**: Manual coordinator review and Deep6 AI
- **For Whom**: Clinical site coordinators and trial sponsors
- **Category**: Deterministic patient recruitment software
**Call To Action**:
- **Direct**: Process enrollment records
- **Transitional**: View sample protocol mapping
**Failure Stakes**:
- Missed enrollment milestones
- High screen-fail costs
- Staff burnout from manual parsing
**Transformation**:
- **To**: the investigator who hits recruitment targets overnight
- **From**: a coordinator buried in paper charts and shorthand
**Controlling Idea**: Clinical trial enrollment should be driven by data, not manual chart searching.

## Startup Token Hero

**Genre**: founding-hypothesis
**Rendered**: Instead of losing weeks to manual chart review, Trialgate parses unstructured records for deterministic matching — ensuring you only pay for successfully enrolled patients.
**Mechanism**: spine-derived-v1
**Template Id**: spine-founding-hypothesis
**Vocab Fingerprint**: 8ad1c59c3554434f

## Startup Token Positioning

**Genre**: moore-positioning
**Rendered**: Deterministic patient recruitment software for Clinical site coordinators and trial sponsors. Unlike Manual coordinator review and Deep6 AI — eliminate screen-fails and pay only for successfully enrolled patients.
**Mechanism**: spine-derived-v1
**Template Id**: spine-moore-positioning
**Vocab Fingerprint**: 0fcd00fbbbabddae

## Startup Token Pitch Deck

**Genre**: pitch-deck
**Rendered**: Problem: Site coordinators spend weeks manually cross-referencing patient records against TrialSpark protocols only to have 60% fail screening at the EDC entry stage
Solution: Instead of losing weeks to manual chart review, Trialgate parses unstructured records for deterministic matching — ensuring you only pay for successfully enrolled patients.
Customer: Clinical site coordinators and trial sponsors
Unlike: Manual coordinator review and Deep6 AI
**Mechanism**: spine-derived-v1
**Template Id**: spine-pitch-deck
**Vocab Fingerprint**: 547ca4982f22de6c

## Startup Token M E D D P I C C

**Pain**: Site coordinators spend weeks manually cross-referencing patient records against TrialSpark protocols only to have 60% fail screening at the EDC entry stage
**Metrics**: Target: You surface every eligible patient within 24 hours of record ingestion with zero false-positives and zero upfront software costs.
**Rendered**: Pain: Site coordinators spend weeks manually cross-referencing patient records against TrialSpark protocols only to have 60% fail screening at the EDC entry stage
Economic buyer: Clinical Research Site
Metrics: Target: You surface every eligible patient within 24 hours of record ingestion with zero false-positives and zero upfront software costs.
Competition: Manual coordinator review and Deep6 AI
**Mechanism**: spine-derived-v1
**Competition**: Manual coordinator review and Deep6 AI
**Economic Buyer**: Clinical Research Site
**Vocab Fingerprint**: 0e24ffde95f95924

## Startup Token Cold Email

**Genre**: cold-email
**Rendered**: Subject: Deterministic patient recruitment software for Clinical site coordinators and trial sponsors

Clinical site coordinators and trial sponsors — Site coordinators spend weeks manually cross-referencing patient records against TrialSpark protocols only to have 60% fail screening at the EDC entry stage Instead of losing weeks to manual chart review, Trialgate parses unstructured records for deterministic matching — ensuring you only pay for successfully enrolled patients.
**Mechanism**: spine-derived-v1
**Template Id**: spine-cold-email
**Vocab Fingerprint**: 7dbdf4ddf2583ea9

## Startup Token Agent Spec

**Genre**: ai-agent-spec
**Rendered**: Deterministic patient recruitment software. Instead of losing weeks to manual chart review, Trialgate parses unstructured records for deterministic matching — ensuring you only pay for successfully enrolled patients. Serves Clinical site coordinators and trial sponsors.
**Mechanism**: spine-derived-v1
**Template Id**: spine-ai-agent-spec
**Vocab Fingerprint**: 8739c613227a9b82

## Neighborhood

### Candidate solutions

- [Billable Hour Revenue Ceilings](/Problems/Billable_Hour_Revenue_Ceilings) — candidate solution for · Problems

### Competitors

- [TriNetX Analytics](/Competitors/TriNetX_Analytics) — competes with · Competitors
- [Deep6 AI](/Competitors/Deep6_AI) — competes with · Competitors
- [TrialSpark](/Competitors/TrialSpark) — competes with · Competitors
- [Manual Site Coordinator Review](/Competitors/Manual_Site_Coordinator_Review) — competes with · Competitors
- [Antidote Match](/Competitors/Antidote_Match) — competes with · Competitors
- [CCH Axcess Practice](/Competitors/CCH_Axcess_Practice) — competes with · Competitors
- [Offshore Bookkeeping Contractors](/Competitors/Offshore_Bookkeeping_Contractors) — competes with · Competitors
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- [Practice Ignition](/Competitors/Practice_Ignition) — competes with · Competitors
- [Karbon Practice Management](/Competitors/Karbon_Practice_Management) — competes with · Competitors
- [Offshore Bookkeeping Labor](/Competitors/Offshore_Bookkeeping_Labor) — competes with · Competitors
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- [Offshore Bookkeeping](/Competitors/Offshore_Bookkeeping) — competes with · Competitors

### What it offers

- [Protocol Enrollment Engine](/Services/Protocol_Enrollment_Engine) — offers · Services
- [Autonomous Ledger Reconciliation](/Services/Autonomous_Ledger_Reconciliation) — offers · Services
- [Trialgate Tax Bridge](/Services/Trialgate_Tax_Bridge) — offers · Services

### Embodies

- [Service-as-Software](/Theses/Service-as-Software) — embodies · Theses

### Composed of

- [Unstructured Document Engine](/Software/Unstructured_Document_Engine) — composes · Software
- [Receipt Allocation Worker](/Agents/Receipt_Allocation_Worker) — composes · Agents
- [Statement Verification Agent](/Agents/Statement_Verification_Agent) — composes · Agents
- [Ledger Reconciliation Service](/Services/Ledger_Reconciliation_Service) — composes · Services
- [Tax Format API](/Software/Tax_Format_API) — composes · Software
- [Continuous Ledger Service](/Services/Continuous_Ledger_Service) — composes · Services
- [Unstructured Document Worker](/Agents/Unstructured_Document_Worker) — composes · Agents
- [Ledger Reconciliation Agent](/Agents/Ledger_Reconciliation_Agent) — composes · Agents
- [Ledger Mapping API](/Software/Ledger_Mapping_API) — composes · Software
- [Multimodal Extraction Engine](/Software/Multimodal_Extraction_Engine) — composes · Software
- [Document Ingestion API](/Software/Document_Ingestion_API) — composes · Software
- [Deterministic Matching Engine](/Software/Deterministic_Matching_Engine) — composes · Software
- [Guaranteed Patient Enrollment Service](/Services/Guaranteed_Patient_Enrollment_Service) — composes · Services
- [Protocol Criteria Parsing Agent](/Agents/Protocol_Criteria_Parsing_Agent) — composes · Agents
- [Medical Record Extraction Worker](/Agents/Medical_Record_Extraction_Worker) — composes · Agents

### Who it serves

- [Accounting Firm](/CompanyTypes/Accounting_Firm) — serves · CompanyTypes

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