HyperFi Tech Stack

AI-powered OS for enterprise technology procurement and scaling

Software Development San Francisco, California 2–10 employees Founded 2025 Privately Held

HyperFi is a stealth-mode startup building infrastructure for how enterprises buy and scale technology, using an AI-first architecture centered on agentic LLM pipelines and retrieval-augmented generation. The stack signals a data-engineering-heavy approach: Databricks + PySpark + Delta Lake for lakehouse management, LangChain/LangGraph for agent orchestration, and Gemini for reasoning — all pointing toward autonomous workflows that reason over structured supplier and procurement data. Hiring velocity is accelerating across engineering and data roles (14 posts in the last 30 days, mostly senior and lead level), with active focus on supplier onboarding and backend scaling, suggesting they're moving past prototype phase into production deployment.

Tech Stack 21 technologies

Core StackPython PostgreSQL gRPC Terraform GitHub Actions LangChain Databricks PySpark Delta Lake Unity Catalog RAG Temporal React Next.js REST GCP MCP LangGraph LangSmith Gemini Delta Live Tables

AdoptingRAG

What HyperFi Is Building

◆Challenges

Prototype to production scaling
Ingesting unstructured data
Identifying onboarding friction points
Scaling onboarding processes
Supplier integration delays
Real-world agent behavior
Scaling backend services
Maintaining ai-ready lakehouse tables

▲Active Projects

Pyspark and databricks orchestration
Agentic llm pipelines
Retrieval-augmented generation systems
Retrieval context datasets for rag
Supplier onboarding workflows
Core backend services
Developer tooling and observability
Rag systems
Streaming and batch ingestion pipelines
Integrations between internal systems and external platforms

Hiring Activity

Accelerating30 roles · 15 in 30d

Department

Engineering

Data

Ops

Seniority

Senior

Lead

Mid

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About HyperFi

HyperFi is a two-year-old startup (founded 2025) based in San Francisco with 2–10 employees, currently in stealth mode. The company is building an AI-powered operating system aimed at large, connected enterprises to streamline how they procure, integrate with, and scale technology vendors. The product architecture combines a data lakehouse (Databricks, Delta Lake, Unity Catalog) for ingesting and managing supplier and procurement datasets with agentic LLM systems (LangChain, LangGraph, Gemini) to automate onboarding workflows and reduce friction. The team is hiring aggressively (30 open roles) in engineering, data, and operations, with a preference for senior and lead-level candidates in the United States and Israel.

HeadquartersSan Francisco, California

Company Size2–10 employees

Founded2025

Hiring MarketsUnited States, Israel

Frequently Asked Questions

What tech stack does HyperFi use?

Python, PostgreSQL, GCP, Databricks, PySpark, LangChain, LangGraph, Gemini, Delta Lake, Temporal, React, Next.js, and RAG systems. The stack emphasizes data orchestration (Databricks, Delta Live Tables) and LLM-based agent pipelines (LangChain, LangGraph).

What is HyperFi working on?

Agentic LLM pipelines, retrieval-augmented generation systems, supplier onboarding workflows, backend services, streaming/batch data ingestion, and integrations between internal systems and external platforms. Core challenges include scaling onboarding, managing unstructured data ingestion, and real-world agent behavior.