Epsilla logo

Epsilla

Emerging

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.

Best for: Cloud ServicesEmerging, rapid growth
19
AI Score
Grade D↑ Trending
AI Visibility Score (Beta)
Cloud & InfrastructureCloud ServicesWebsiteUpdated March 2026

Brand Intelligence Graph

Capabilities
Cloud Services

Company Overview

About Epsilla

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.

Business Model & Competitive Advantage

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.

Competitive Landscape 2025–2026

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.

Revenue
$1.4M
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Key Differentiators

Emerging Innovator

Epsilla is an emerging player bringing innovative solutions to the Infrastructure market.

Frequently Asked Questions

Estimated Visibility Trend (Beta)

Simulated 8-week rolling score

19
↑ Trending

Based on estimated brand signals. Historical tracking coming soon.

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