Triomics Tech Stack

Generative AI for oncology clinical workflows and trial screening

Software Development New York, NY 51–200 employees Privately Held

Triomics applies large language models and retrieval-augmented generation (RAG) to unlock structured clinical insights from unstructured medical records in cancer care. The tech stack—Python, PyTorch, TensorFlow, spaCy, LangChain, Pinecone, and APIs from OpenAI and Anthropic—reflects a core challenge: extracting clinical entities and trial-eligible patients from messy EHR text. Active projects show the company balancing product innovation (LLM-powered entity extraction, end-to-end RAG pipelines) with GTM friction (workflow automation for lead sourcing, data movement between sales tools), suggesting growing operational strain as the product scales.

Tech Stack 24 technologies

Core StackPython PyTorch TensorFlow LangChain RAG OpenAI Anthropic Pinecone Make n8n Zapier spaCy NLTK Hugging Face Transformers LoRA LLaMA Mistral LlamaIndex Haystack FAISS Chroma Sales Navigator Apollo Outreach

What Triomics Is Building

◆Challenges

Extracting structured clinical data from unstructured notes
Operational inefficiencies in patient recruitment
Laborious tasks in clinical research
Improving lead generation
Workflow optimization
Automation failures

▲Active Projects

Model innovation & prototyping
Proof-of-concept development
Experimental design & analysis
Llm-powered clinical entity extraction application
End-to-end rag pipeline development
Oncology data dictionary development
Clinical trial study build
Workflow automation for lead sourcing
End-to-end gtm workflow design
Data movement automation between gtm tools

Hiring Activity

Steady7 roles · 2 in 30d

Department

Engineering

Healthcare

Ops

Research

Seniority

Mid

Intern

Senior

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About Triomics

Triomics is a generative AI platform built for academic and community cancer centers across the U.S. The product transforms unstructured clinical notes into structured, actionable insights—enabling oncology teams to screen patients for clinical trials, automate pre-charting, and curate research datasets. The company operates across the full ML stack, from model training and experimentation through RAG pipeline development and clinical data curation. With 51–200 employees based in New York, Triomics is hiring across engineering, healthcare operations, and research, with a lean GTM function relying on workflow automation to scale lead generation and customer onboarding.

HeadquartersNew York, NY

Company Size51–200 employees

Hiring MarketsIndia

Frequently Asked Questions

What AI models does Triomics use?

Triomics builds with PyTorch, TensorFlow, and open-source LLMs (LLaMA, Mistral) alongside OpenAI and Anthropic APIs. The stack includes LangChain for orchestration, RAG frameworks (Pinecone, Chroma, FAISS), and LoRA for model tuning.

Is Triomics hiring engineers?

Yes. Triomics has 7 active roles across engineering, healthcare, ops, and research. One engineering role is open, with mix of mid-level and senior positions. The company is also hiring in India.

What problems does Triomics solve for cancer centers?

Triomics extracts structured clinical data from unstructured medical notes, screens patients for trial eligibility, automates pre-charting workflows, and curates clinical datasets—reducing manual labor in oncology research and patient recruitment.