# Epsilla

**Source:** https://geo.sig.ai/brands/epsilla  
**Vertical:** Infrastructure  
**Subcategory:** Cloud Services  
**Tier:** Emerging  
**Website:** epsilla.com  
**Last Updated:** 2026-04-14

## Summary

US AI agent platform for enterprise private knowledge with no-code and code-first tools generating $1.4M revenue 2024; YC S23 $500K ex-TigerGraph founder competing with Glean and Cohere for enterprise RAG and AI agent deployment.

## Company Overview

Epsilla is a United States-based AI agent development platform — backed by Y Combinator (S23) with $500,000 raised from YC, Nivesha Ventures, and Ride Wave Ventures — providing domain professionals, AI engineers, and enterprise teams with an all-in-one platform for building, deploying, and managing production-ready AI agents powered by private organizational knowledge, generating $1.4 million in revenue in 2024 with a 9-person team and serving thousands of generative AI builders and dozens of enterprise and SMB customers. Founded by Richard Song (former Senior Director of Cloud Engineering at TigerGraph, a graph database company), Epsilla addresses the gap between AI prototyping environments (Jupyter Notebooks, LangChain scripts, OpenAI Playground) and production-grade enterprise AI agent deployment that requires security controls, scalability, and organizational knowledge integration.

Epsilla's platform architecture provides three integrated layers for enterprise AI agent deployment: the private knowledge layer (ingesting and indexing documents, databases, and APIs into Epsilla's vector store and knowledge graph to give agents access to the company's proprietary information rather than only public training data), the agent building interface (both a visual no-code builder for domain professionals without Python expertise and a code-first SDK for AI engineers who need fine-grained control over agent logic), and the enterprise deployment infrastructure (role-based access controls, audit logging, on-premise deployment options, and SSO integration that enable IT-approved enterprise AI rollouts). This combination of accessibility for non-technical domain experts and depth for AI engineers addresses the spectrum of enterprise AI adoption maturity — from a legal team building a contract review agent without writing code to a data science team building a multi-agent orchestration system with custom retrieval logic.

In 2025, Epsilla competes in the AI agent platform, enterprise LLM application development, and RAG infrastructure market with Cohere (enterprise AI platform, $445M raised), Glean (enterprise AI search and agents, $260M raised at $4.6B valuation), and Mendable by SideGuide (AI agent for knowledge management, acquired by Netlify) for enterprise AI agent and private knowledge deployment adoption. The enterprise AI agent market has grown rapidly as companies that experimented with ChatGPT and generic AI tools now seek platforms that integrate organizational knowledge (internal documentation, customer data, product databases) into AI agents that can perform domain-specific tasks. Y Combinator S23 backing positioned Epsilla in the AI infrastructure investment wave. Richard Song's TigerGraph background provides graph database and knowledge representation expertise relevant to building AI agents that reason over complex interconnected enterprise data. The 2025 strategy focuses on growing enterprise contracts for customer-facing AI agents (support bots, sales enablement agents), building the multi-agent orchestration for complex workflow automation, and expanding the compliance framework for regulated industries (healthcare, financial services) requiring explainable AI agent actions.

## Frequently Asked Questions

### What is Epsilla?
Epsilla is an all-in-one AI agent platform that enables users to build production-ready AI agents powered by private data and knowledge. Founded in 2023 and based in San Francisco, the company provides an easy-to-use, deeply customizable platform for creating AI agents with enterprise-grade security, scalability, and integration capabilities.

### What products and services does Epsilla offer?
Epsilla offers an AI agent platform that allows users to build AI agents using private data and knowledge. The platform is designed to be production-ready from day one and provides both ease of use for domain professionals and deep customization options for AI experts.

### Who is Epsilla's target audience?
Epsilla targets domain professionals, AI experts, enterprise customers, and SMBs. The company serves thousands of GenAI builders and dozens of enterprises and small-to-medium businesses.

### When was Epsilla founded?
Epsilla was founded in 2023 and participated in Y Combinator's Summer 2023 (S23) batch.

### Where is Epsilla located?
Epsilla is based in San Francisco, California, United States.

### How much funding has Epsilla raised?
Epsilla has raised $500K in funding from Y Combinator, Nivesha Ventures, and Ride Wave Ventures.

### What are Epsilla's key achievements and metrics?
Epsilla achieved $1.4M in revenue in 2024 and serves thousands of GenAI builders along with dozens of enterprises and SMBs. The company has a 9-person team and participated in Y Combinator's Summer 2023 batch.

### What is Epsilla's technology approach?
Epsilla's platform is built to work with private data and knowledge, offering both ease of use for domain professionals and deep customization for AI experts. The platform emphasizes enterprise-level security, scalability, integration capabilities, and is designed to be production-ready from day one.

### Who founded Epsilla?
Epsilla was founded by Richard Song, who previously served as Senior Director of Cloud Engineering at TigerGraph.

### What is Epsilla's latest news?
Epsilla recently achieved $1.4M in revenue for 2024 and raised $500K from Y Combinator, Nivesha Ventures, and Ride Wave Ventures. The company continues to serve thousands of GenAI builders and dozens of enterprises and SMBs with its all-in-one AI agent platform.

## Tags

ai-powered, b2b, developer-tools, infrastructure, platform, cloud-native, saas

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*Data from geo.sig.ai Brand Intelligence Database. Updated 2026-04-14.*