HealthTech · Pharma

Stethy

Enterprise email-triage SaaS for top-tier global pharma. Multi-account AWS CDK, Phi-3.5 fine-tune via Unsloth, Langfuse observability.

Tech Stack:FastAPIReactAWS CDKLangfuseUnsloth

The Problem

Pharma operations teams drown in high-volume internal email tied to quality events, adverse-event reports, and regulatory workflows. Off-the-shelf classifiers aren't domain-tuned; generic LLMs hallucinate on pharma jargon; and regulated QMS tooling doesn't speak email. Stethy's invite-only pharma clients needed a single end-to-end pipeline: Gmail ingest, domain-tuned classification, structured QMS-compatible records, and observable LLM behaviour, without leaking regulated information to public LLM providers.

The Solution

Apex36 delivered a single enterprise SaaS spanning eight coordinated workstreams: the core workflow platform (FastAPI + SQLAlchemy + React) with a Chrome extension ingesting Gmail, a domain-tuned Phi-3.5 email classifier fine-tuned 2× faster via Unsloth, a multi-account AWS CDK infrastructure (dev/stage/prod) with Lambda + CodePipeline, Langfuse observability hosted on Azure Container Apps via Bicep, a TrackWise-compatible QMS demo, and active LLM RAG research using Quivr, Ragflow, LiteLLM, and AWS AgentCore.

Features

FastAPI workflow SaaS

Python + FastAPI + SQLAlchemy + Alembic backend with pytest coverage; React + Vite + TypeScript frontend, the core B2B invite-only email-triage platform.

Multi-account AWS CDK infrastructure

AWS CDK in Python across dev / stage / prod accounts with AWS Lambda and CodePipeline, a six-repo infra fleet under one client.

Phi-3.5 fine-tune via Unsloth

Domain-tuned email classifier on pharma email corpora, trained 2× faster via Unsloth and benchmarked on a 9-category / 150-sample test set.

Langfuse LLM observability

Langfuse hosted on Azure Container Apps via Bicep: every LLM call across the stack is observable.

TrackWise-compatible QMS demo

TypeScript + Next.js demo replicating Sparta Systems' TrackWise Digital QMS workflows so quality teams can see the email-to-QMS hand-off end to end.

Gmail Chrome extension

Chrome extension feeding corporate Gmail inboxes into the Stethy triage workflow.

LLM RAG research workstream

Active pharma-internal knowledge-base experiment using Python, Quivr, Ragflow, LiteLLM gateway routing, and AWS AgentCore.

Results / Impact

Top-tier global pharma

served as invite-only enterprise clients.

Phi-3.5 fine-tune 2× faster

via Unsloth, benchmarked on a 9-category / 150-sample test set.

Multi-account AWS CDK

dev / stage / prod running a six-repo infra fleet under one client.

Langfuse observability

on every LLM call, hosted on Azure Container Apps via Bicep.

FAQ

Top-tier global pharmaceutical companies. Stethy is an invite-only B2B SaaS focused on pharma email triage, quality-event routing, and internal-knowledge workflows, a regulated, data-sensitive environment where generic LLM tooling is not acceptable.
Apex36 fine-tuned Phi-3.5-instruct on pharma email corpora using Unsloth, achieving 2× faster training, and benchmarked the result against an OpenAI-assistant baseline on a 9-category / 150-sample test set.
Apex36. The platform runs on a multi-account AWS CDK topology (dev / stage / prod) with AWS Lambda and AWS CodePipeline, plus Langfuse observability hosted on Azure Container Apps via Bicep.
Yes. Apex36 built a TrackWise-compatible demo surface so pharma quality teams can see the email-to-QMS hand-off end to end.

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