Elucidata Tech Stack

AI-powered biomedical data harmonization platform for drug discovery

Software Development San Francisco, California 51–200 employees Founded 2015 Privately Held

Elucidata builds a data harmonization platform (Polly) that converts raw biomedical datasets into machine-learning-ready formats for pharma and biotech R&D teams. The stack centers on Python, SQL, AWS, and LLM tooling (LangChain, LlamaIndex, AutoGen, Pinecone, Milvus), with active engineering focus on agentic orchestration, RAG pipelines, and LLM cost optimization — indicating a shift toward autonomous AI workflows over manual curation. Leadership-tier hiring in engineering suggests architectural scaling as demand from their 35+ biopharma customer base grows.

Tech Stack 14 technologies

Core StackPython AWS JavaScript Angular React Docker LangChain Pinecone SQL HTML CSS LlamaIndex AutoGen Milvus

What Elucidata Is Building

◆Challenges

Improving latency and cost-efficiency
Optimizing llm workflow performance
Scalable cloud architecture for ai

▲Active Projects

Agentic orchestration and rag pipelines for life sciences
Llm workflow optimization for latency and cost-efficiency
Scalable cloud architecture for ai solutions

Hiring Activity

Accelerating5 roles · 4 in 30d

Department

Engineering

Marketing

Sales

Seniority

Director

Lead

Mid

Notable leadership hires: Tech Lead

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About Elucidata

Elucidata operates a data harmonization and curation platform serving early-stage drug discovery, precision diagnostics, and translational biomarker teams at mid-to-large pharma companies and biotech labs. The platform ingests multi-modal biomedical data (genomics, assays, clinical records, real-world data) and applies ML-ready transformation, human-in-the-loop annotation, and QA pipelines to achieve 99.99% data accuracy. Founded in 2015 and based in San Francisco with engineering presence in India, the company raised Series A funding in September 2022. Their customer base includes over 35 biopharma organizations working on use cases ranging from patient stratification to target identification and biomarker discovery.

HeadquartersSan Francisco, California

Company Size51–200 employees

Founded2015

Hiring MarketsIndia

Frequently Asked Questions

What tech stack does Elucidata use?

Core stack: Python, SQL, AWS, Docker. AI/ML: LangChain, LlamaIndex, AutoGen, Pinecone, Milvus. Frontend: React, Angular, HTML, CSS, JavaScript.

How many employees does Elucidata have?

120+ multi-disciplinary team members based across the United States and India.