PLUM AI Tech Stack

AI-powered outreach engine for commercial real estate lending

Financial Services San Francisco, CA 11–50 employees Founded 2015 Privately Held

Plum Lending builds Infinity, an AI-powered messaging platform that automates dealflow generation for commercial real estate lenders. The tech stack reveals a data-infrastructure-first architecture: GPT + LLaMA + LangChain + Databricks + Delta Lake + Apache Spark, with active investment in RAG pipelines. The project and pain-point lists show the company is consolidating around scalable generative AI and data engineering—nearly all 9 active roles are senior data positions, indicating a focused push to productionize AI at scale rather than expand sales or operations.

Tech Stack 15 technologies

Core StackLangChain Python RAG Databricks AWS Delta Lake Apache Spark Salesforce Docusign GPT LLaMA Transformers SQL Git LinkedIn

AdoptingRAG

What PLUM AI Is Building

◆Challenges

Scaling generative ai pipelines
Scalable data pipelines
Data infrastructure for ai products

▲Active Projects

Rag architecture
Scalable generative ai pipelines
Design end-to-end data pipelines
Llm evaluation pipelines
Scalable data pipelines for external client systems
Data infrastructure for ai products
Data ingestion pipelines
Etl process development
External system integration for data ingestion

Hiring Activity

Minimal9 roles · 0 in 30d

Department

Data

Sales

Seniority

Senior

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About PLUM AI

Plum Lending provides an AI-driven outreach platform called Infinity, designed for commercial real estate lenders and loan officers to automate prospecting and re-engagement at scale. The platform generates personalized, context-aware messaging that users can review and edit before sending, positioning itself as an alternative to hiring additional business development staff. Founded in 2015 and based in San Francisco, the company operates as a lean, data-centric organization with a portfolio spanning multifamily, seniors housing, affordable housing, and retail property lending verticals.

HeadquartersSan Francisco, CA

Company Size11–50 employees

Founded2015

Hiring MarketsUnited States

Frequently Asked Questions

What is Plum AI's technology stack built on?

Plum uses GPT, LLaMA, LangChain, and Transformers for LLM capabilities, coupled with Databricks, Delta Lake, and Apache Spark for data infrastructure. RAG (retrieval-augmented generation) is an active focus area.

What is Plum AI working on currently?

Current projects center on RAG architecture, scalable generative AI pipelines, LLM evaluation pipelines, and end-to-end data pipeline design. Data infrastructure and external system integration for client ingestion are core focus areas.