Epsilla
Epsilla builds vertical AI agents from your own knowledge bases with a no-code builder and RAG as a Service.
Pick Epsilla if the hard part of your agent project is governance and grounding, not front-end polish — the no-code builder, RAG as a Service, and on-prem options cover ground most chatbot builders don't. HarnessRouter (January 2026) is the genuinely interesting part: one Agent API across Codex, Claude Code, DeepSeek and Qwen Code means you aren't locked to a single harness. The catch is messaging economics — 500 messages on Starter and 5,000 on Professional go fast once real users show up.
Verified 1h ago · liveness 67/100 · cite: rightaichoice.com/tools/epsilla
- Non-technical teams turning internal knowledge bases into working AI agents
- Enterprises needing on-prem or private-cloud deployment with SAML/OIDC SSO and white-labeling
- Vertical industries — legal, healthcare, manufacturing, research, publishing — needing domain-specific agents
- Agencies and consultants building multi-agent projects across multiple clients
- High-volume customer-facing chat where 50–5,000 messages/month won't cover real traffic
- Developers who want direct control over embedding pipelines, chunking and vector internals
- Design-heavy teams needing pixel-level control over conversation flows
We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.
- Honest verdict, not marketing
- Real pros & cons from real users
- Attributed quotes with receipts
3 free scans · no card needed
Skip Epsilla if your agent will handle more than 5,000 messages a month and you aren't ready to negotiate a custom Enterprise contract — the Starter and Professional caps will force an upgrade fast.
Messages past your plan's cap cost $3 per 100 messages, so a 50,000-message month adds roughly $1,350 on top of your subscription.
Free ($0) is a 50-message look-and-see. Starter at $29/mo billed monthly and Professional at $249/mo billed monthly fit small internal agents and single-department rollouts — both are cheaper than the AI Concierge at $2,499/mo billed monthly, which buys you a fractional Epsilla engineer. Unlimited messages, on-prem, SSO and any-LLM-provider support sit behind custom-priced Enterprise, where Epsilla competes with enterprise RAG platforms rather than $29 chatbot builders.
In short
Epsilla — Epsilla builds vertical AI agents from your own knowledge bases with a no-code builder and RAG as a Service. Best for Non-technical teams turning internal knowledge bases into working AI agents, Enterprises needing on-prem or private-cloud deployment with SAML/OIDC SSO and white-labeling, Vertical industries — legal, healthcare, manufacturing, research, publishing — needing domain-specific agents. Free to start; paid plans from $29/mo.
What people actually say about Epsilla — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
25 mentions across 3 sources (Hacker News, YouTube, Product Hunt) · researched Aug 31, 2026.
Average across the 3 sources that answered — each source counts once, not each post.
- +No-code drag-and-drop agent builder makes AI agents accessible.
- +Pre-built vertical solutions for sales, construction, and publishing.
- +Enterprise-grade multi-tenancy and granular permissions.
- +Flexible deployment options: SaaS, on-premise, private cloud.
- +Built-in vector database up to 10M scale.
- −Free tier only offers 50 messages per month.
- −Data privacy concerns not fully addressed in community.
- −Lack of independent reviews beyond launch-day buzz.
- −Locked to GPT-4.1 on lower tiers, limiting flexibility.
- −Deep customization options are limited for advanced users.
- • Going beyond 50 free messages requires a paid plan
- • On-premise or private cloud deployment likely costs extra (Enterprise custom pricing)
- • Scaling to 10M+ vectors may hit higher-tier pricing limits
Viability Score
How well maintained and how widely used is Epsilla? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- No-code drag-and-drop AI agent builder
- RAG as a Service grounded in enterprise knowledge bases
- HarnessRouter unified Agent API (launched January 2026)
- Run Codex, Claude Code, Hermes, Pi, DeepSeek Harness and Qwen Code via one API
- Switch harness and model per feature without rebuilding your runtime
- Serverless sandboxes with isolated execution per task
- Sessions, streaming events and file artifacts your UI can render
- Built-in cost controls for agent runs
- Open-source Community Edition with Unified Harness Protocol
- Managed vector database scaling from 10M vectors to unlimited
- Multi-agent management dashboard with analytics and monitoring
- Enterprise-grade multi-tenancy with granular permissions and access controls
- Deployment options: managed SaaS, on-premise, private cloud
- Pre-built vertical solutions for manufacturing, healthcare, legal, finance, construction, publishing, research and
- White-labeling and SSO (SAML and OIDC) on Enterprise
About Epsilla
Epsilla is an Agent-as-a-Service platform for standing up vertical AI agents grounded in domain-specific knowledge and private enterprise data. It targets the people who know the domain but not the stack — product managers, ops leads, IT directors, librarians — via a drag-and-drop agent builder and RAG as a Service, so grounding an agent in your own document sets doesn't require an engineering sprint. A Stanford School of Medicine IT director went from data upload to a working domain-specific chatbot in a few steps, and Epsilla's own customers cite the retrieval quality across formats as the reason non-technical collaborators can manage the data themselves. The platform bundles three things: the no-code builder, managed RAG, and a managed vector database that scales from 10M vectors on the Free tier up to unlimited on Enterprise. Agent and chatbot management covers monitoring, analytics, and optimization, while enterprise-grade multi-tenancy keeps permissions granular across departments or clients. Vertical solutions ship for manufacturing, research management, inbound sales and support, construction, publishing and libraries, financial services, healthcare, and legal. HarnessRouter is the newer half of the story — a unified Agent API launched January 15, 2026, that runs Codex, Claude Code, Hermes, Pi, DeepSeek Harness, and Qwen Code through one endpoint, so you can switch harness and model per feature without rebuilding your runtime. It handles serverless sandboxes with isolated execution per task, sessions, streaming events, file artifacts your UI can render, and cost controls. Epsilla runs its own agents on it, and the Community Edition is self-hostable under the same Unified Harness Protocol. Epsilla sells against general chatbot builders like Chatbase and Voiceflow by trading front-end customization for vertical specialization and governance — managed SaaS, on-premise, or private cloud, plus SSO (SAML and OIDC) and white-labeling on Enterprise. The
Behind the Verdict
The way to read Epsilla is as two products sharing a login. The first is a no-code agent builder for people who know a domain cold and have no interest in embedding pipelines. The second is HarnessRouter, an Agent API that runs Codex, Claude Code, Hermes, Pi, DeepSeek Harness and Qwen Code behind one endpoint with serverless sandboxes, sessions, streaming and cost controls handled. If you only need the first, the pricing page is your whole evaluation. If you need the second, the message caps barely matter. Reach for Epsilla when the agent has to live inside your governance perimeter. On-prem and private cloud deployment, SAML and OIDC SSO, extensive white-labeling and multi-tenant permissions are Enterprise-tier items here, and that combination is why healthcare, legal and manufacturing teams land on it. We'd also pick it for the vertical play: pre-built solutions for publishing, research management, construction and inbound support beat starting from an empty chat window. Where it bites is volume. Free gives you 50 messages a month, Starter 500, Professional 5,000 — and unlimited messaging only appears on custom-priced Enterprise. Add-ons soften this ($3 per 100 messages, $18/GB/month vector storage, $12/seat/month), but a consumer-facing support bot on a self-serve tier will outrun its allowance quickly. If you're building high-traffic chat, price out Enterprise before you fall in love with the builder. The closest alternative for most buyers is Chatbase or Voiceflow — cheaper and faster to dress up, and a better fit if the conversation design itself is the product. Epsilla gives up that front-end control and asks you to accept its message accounting in exchange for vertical grounding, deployment choice and admin controls. Developers who want to hand-tune chunking
Researching Epsilla? Get your full AI stack in 60 seconds.
Free, no signup — tell us your goal and get tools matched to your budget & existing stack.
Real-world workflow fit
Concrete scenarios for the personas Epsilla actually fits — and what changes day-one when you adopt it.
Starts on Starter at $29/mo billed monthly, uploads the policy corpus into a knowledge base, and points the no-code builder at a domain-specific agent grounded in those documents with Epsilla's GPT-4.1-powered message pipeline.
Outcome: A working internal policy agent is live inside a day; the 500-message cap holds for a small pilot group, with an upgrade to Professional planned before opening it to all staff.
Uses the AI Concierge tier at $2,499/mo billed monthly to get an Epsilla engineer to build the first agent, then relies on enterprise multi-tenancy to separate each client's knowledge base and permissions while swapping harnesses per client through the HarnessRouter Agent API.
Outcome: Multiple client agents run from one dashboard with granular per-client access, and the team downgrades to a self-serve plan once the build-out is done.
Calls the HarnessRouter Agent API to run Codex and Claude Code behind different features, using serverless sandboxes, sessions, streaming events and file artifacts instead of building runtime plumbing.
Outcome: The feature ships without a bespoke agent runtime, and switching harnesses later is a config change rather than a rewrite.
Use Cases
- Build a customer support agent that answers queries using your product documentation.
- Deploy an internal knowledge base agent so employees can retrieve HR policies.
- Create a lead qualification agent that routes inbound sales inquiries.
- Implement a research assistant that summarizes academic papers for a publishing team.
- Develop a legal document review agent for contract analysis.
Models Under the Hood
as of 2026-10-15
Limitations
- Free tier caps at 50 messages/month and clears data after 30 days of inactivity, so it works as a look-and-see rather than a real pilot.
- Starter caps at 500 messages/month ($29/mo billed monthly), Professional at 5,000 ($249/mo billed monthly) — neither survives a live support queue.
- Overage is $3 per 100 messages.
- On-prem deployment, white-labeling, SSO (SAML and OIDC), and running on any LLM provider all require the custom-priced Enterprise tier.
as of 2026-10-02
Verification history
We have re-verified Epsilla 10 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 10 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Epsilla tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free Tier
$0/mo
Ideal for
An individual evaluating Epsilla with a small document set before committing budget
What this tier adds
Starting tier — $0/mo with 1 seat, 1 knowledge base and 50 messages/month on GPT-4.1; data clears after 30 days of inactivity.
Starter Tier
$29/mo billed monthly
Ideal for
A two-person team piloting a single internal knowledge agent
What this tier adds
Adds 2 team members, 5 AI applications, 5 knowledge bases and 500 messages/month on GPT-4.1, with email support; $29/mo billed monthly.
Professional Tier
$249/mo billed monthly
Ideal for
A department running several internal agents for up to 20 people
What this tier adds
Raises limits to 20 team members, 10 projects, 50 AI applications, 50 knowledge bases, 10G vector storage and 5,000 messages/month, plus a dedicated support channel; $249/mo billed monthly.
AI Concierge
$2,499/mo billed monthly
Ideal for
A mid-market company that wants a working agent built for it instead of hiring for the skillset
What this tier adds
Adds a fractional forward-deployed Epsilla AI engineer, done-for-you agent and workflow build-out, weekly strategy calls and priority support on top of everything in Professional; $2,499/mo billed monthly and downgradable to self-serve.
Enterprise Tier
Custom
Ideal for
Regulated or high-volume organizations needing on-prem, SSO and unlimited messaging
What this tier adds
Removes all caps — unlimited seats, projects, applications, knowledge bases, vectors and messages on any LLM provider — and adds white-labeling, SSO (SAML and OIDC), on-prem deployment, consulting and premium support with SLAs; custom pricing.
Where the pricing makes sense
The company stage and team size where Epsilla's pricing actually pencils out — and where peers do it cheaper.
Free ($0) is a 50-message look-and-see. Starter at $29/mo billed monthly and Professional at $249/mo billed monthly fit small internal agents and single-department rollouts — both are cheaper than the AI Concierge at $2,499/mo billed monthly, which buys you a fractional Epsilla engineer. Unlimited messages, on-prem, SSO and any-LLM-provider support sit behind custom-priced Enterprise, where Epsilla competes with enterprise RAG platforms rather than $29 chatbot builders.
Setup time & first value
How long it actually takes to get something useful out of Epsilla — broken out by persona, not the marketing-page minute.
Non-technical users: under a day to a first working agent — one Epsilla customer at Stanford School of Medicine described data upload, model selection and UI customization as just a few steps to a functioning chatbot. Developers wiring HarnessRouter into an app: an afternoon to a working Agent API call, since sandboxes, sessions, streaming and file handling are managed for you. Full Enterprise
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Epsilla”, and we withheld 6: 6 could not be judged, because “Epsilla” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Epsilla.
Official links
Tools that pair well with Epsilla
Common stack mates teams adopt alongside Epsilla, with the specific reason each pairing earns its keep.
Agent.ai
No-code AI agents for HubSpot and CRM workflows, with a 19-action BuilderPack for HubSpot Agent Builder.
Trag AI
Trag AI builds no-code RAG crypto trading agents that cite RSI, MACD, and news data behind every signal.
Freshservice AI
Freshservice AI pairs Freddy copilots, no-code AI agents, and an MCP Gateway with ITIL-aligned ITSM and ITAM.
Featured Head-to-Head Comparisons
Epsilla vs Spider Cloud
For teams looking to build custom AI agents without coding, Epsilla is the better choice. But for AI pipelines that need live web data—scraping, crawling, and structured extraction—Spider Cloud is far more advanced, cheaper, and actively updated with Browser AI and data connectors. Pick Epsilla if you need a managed AI agent; pick Spider Cloud if you need web data for your AI.
Epsilla vs Presto Voice
Epsilla is for organizations wanting to build custom AI agents for any vertical, offering a no-code approach and flexible deployment. Presto Voice is for QSR chains that need a specialized, high-performance drive-thru voice AI solution to boost revenue. Choose Epsilla for versatility and low-code, Presto Voice for turnkey drive-thru automation.
Epsilla vs Temporal Ai
If you're a non-technical team wanting to deploy vertical AI agents without coding, Epsilla's no-code builder and RAG-as-a-service are compelling. But if you're building complex, reliable AI workflows that survive failures and need human-in-the-loop, Temporal's durable execution platform is the clear choice, especially with its new usage-based billing and custom roles. Technical teams will prefer Temporal; business users will prefer Epsilla.
Alternatives to Epsilla
View all
Agent.ai
No-code AI agents for HubSpot and CRM workflows, with a 19-action BuilderPack for HubSpot Agent Builder.
Trag AI
Trag AI builds no-code RAG crypto trading agents that cite RSI, MACD, and news data behind every signal.
Freshservice AI
Freshservice AI pairs Freddy copilots, no-code AI agents, and an MCP Gateway with ITIL-aligned ITSM and ITAM.
Frequently Asked Questions
Categories
Best-of guides
Used Epsilla? Help shape our editorial sentiment research.