Genex AI
AI-powered research screening and document intelligence platform.
Genex AI helps medical and scientific teams move faster through literature review, document screening, and evidence analysis — ErlyStage built the core AI screening engine, document processing pipeline, RAG chatbot, and scalable backend behind it.
Client
Genex AI
Sector
Medical Research / AI SaaS
OUR ROLE
AI backend & product build
Repos Delivered
3 Services
the problem
Literature review doesn't scale by hand.
Research teams spend significant time searching medical databases, reading abstracts, uploading PDFs, checking inclusion and exclusion criteria, and preparing results for review — slow, repetitive, and hard to scale across large sets of studies.
The solution
One workflow, from search to sourced answer.
ErlyStage built a complete AI-first research platform — PubMed search, PDF processing with OCR and table extraction, AI eligibility screening against custom criteria, and a RAG chatbot that answers questions with traceable sources.
AI & Automation Highlights
The systems doing the heavy lifting.
AS
AI Eligibility Screening
LLM-based screening evaluates studies and documents against user-defined inclusion, exclusion, and informative criteria, producing decisions, summaries, and explanations reviewers can validate.
RAG
RAG Chat With Sources
A retrieval-augmented chatbot answers questions over processed research documents, surfacing the exact source passages behind every answer.
DOC
Document Processing Pipeline
An asynchronous pipeline handles PDF text extraction, OCR for scanned files, table extraction, LLM-assisted table refinement, and duplicate detection at scale
RaaS
RAG-as-a-Service
A reusable, project-scoped RAG API layer with vector storage, retrieval, API keys, and usage metering — deployable beyond a single product flow.
KEY CAPABILITIES
What Genex AI does end to end.
Create and organize research knowledge bases
Search PubMed and manage literature results
Upload and process research PDFs at scale
Extract text, tables, and OCR content from documents
Screen abstracts and documents against custom criteria
Ask questions over selected studies via RAG chat
Trace answers back to source documents
Track token usage and processing status
Manage teams, roles, and enterprise plans
Export screening results for reporting
AI / RAG STACK
TECHNOLOGY USED
ERLYSTAGE ROLE
Built the AI product experience end to end.
ErlyStage worked across the full product stack — AI backend services, document processing pipelines, RAG infrastructure, frontend workflows, and enterprise SaaS foundations like subscriptions, teams, and admin tooling.
AI backend services
Document processing pipeline
RAG sync & retrieval infra
Frontend screening workflows
RAG chatbot experience
Subscription & token systems
Team & role management
Admin & super-admin tooling
Background job processing