List your application, workflow, or add-on in the Quome Marketplace. Quome becomes your distribution and sales channel. We handle compliance, hosting, and deployment — you share in the revenue. It's like the App Store — but for regulated industry apps.
Your product is made available to healthcare, legal, and fintech customers building on the Quome Cloud. Quome promotes high-quality tools that solve real operational problems. You retain authorship and can offer updates, premium tiers, or bundled services.
🚀 Tap into a fast-growing ecosystem of compliant, production-ready apps
💰 Generate recurring income through revenue share
👥 Reach non-technical users who need real solutions now
🔐 Build on a platform that values security, compliance, and quality
Framework: FastAPI (stateless container)
Purpose: Create and deploy programmable voice agents for outbound calls
Input: Call scripts, prompt logic, and contact lists
Output: Automated phone calls powered by LLMs and/or rule-based flows
Use Case: Nurse triage protocols, patient outreach, follow-ups, appointment reminders, sales and demo scheduling
Framework: FastAPI (stateless container)
Purpose: Track and visualize Jira tickets across the full software development lifecycle (PRDs, RFCs, testing, deployment)
Input: Jira API credentials + project key(s)
Output: SDLC progress dashboard with compliance-oriented audit trail
Use Case: Engineering orgs in healthcare, fintech, and life sciences needing traceability from idea to release
Framework: Flask (stateless container)
Purpose: Rapidly create and distribute secure, customizable surveys
Input: JSON-based survey schema or form builder UI
Output: Public/private survey endpoints + response data export
Use Case: Clinical research, patient-reported outcomes, secure feedback collection
Input: Raw clinical notes (PDF/text)
Output: Structured summaries or SOAP notes
Model: Fine-tuned LLaMA/GPT or MedPalm-style model
Features: PHI redaction, secure data pipeline, logging
Use Case: Hospitals, telehealth, EMR integrations
Input: PDFs or text blobs
Output: Redacted documents with risk-level tagging
Model: NER model (spaCy, BERT) tuned for PHI detection
Features: Download redacted docs, audit trail, secure storage
Use Case: Legal teams, data compliance, research sharing
Input: Audio files (.wav, .mp3, .m4a, etc.)
Output: Transcribed text (with optional redaction + timestamps)
Model: OpenAI Whisper (base/medium/large – selectable)
Features: Language detection, speaker diarization, secure file handling
Use Case: Healthcare, legal, research, or internal documentation
Framework: Langchain/Langgraph + FastAPI
Purpose: Convert user prompts into full-stack app templates using LLM-powered agents
Input: Natural language prompt describing the desired app
Output: Generated app code (React, Flask, Node, etc.) + optional live preview
Use Case: Rapid prototyping, startup MVPs, clinical tools, dashboards, internal automation apps
Framework: Stateless container (Flask)
Purpose: Automatically generate survey protocols from natural language prompts and simulate survey responses using LLM agents
Input: Natural language prompt (e.g., “Create a survey for post-discharge heart failure patients”)
Output: Deployable survey schema + synthetic response dataset for testing, validation, or analytics
Use Case: Clinical researchers, product teams, and healthcare orgs that need rapid survey design and validation with synthetic testing
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