Fin AI vs Chatbase - Which is best in 2025?

See how Fin AI and Chatbase compare to each other (and to Ringly.io) to help you decide what is the best platform for you.
Last updated on
August 23, 2025
Maurizio Isendoorn, Co-Founder at Ringly.io
Ruben Boonzaaijer
Co-Founder

Overwhelmed choosing between Fin AI and Chatbase, with confusing pricing, feature overload, and mixed reviews?You are not alone. Both tools help you build AI chatbots that cut support costs and boost replies. But picking the right one should be easy, not stressful. This quick guide breaks it down in plain language so you can decide with confidence.

We’ll cover:

  • Key features and unique strengths
  • Pricing, plans, and free trials
  • Setup, integrations, and data control
  • User reviews, common pitfalls, and best fit

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Fin AI vs Chatbase – TL;DR

Product area Fin AI Chatbase Ringly.io
Best for Intercom-centric enterprise support teams Startups needing no-code data-trained bots Ecommerce phone support and sales
Channels Web chat, SMS, messaging apps Website, WhatsApp, Messenger, Slack Inbound/outbound phone calls; natural voice
Integrations Deep Intercom; other tools manual Zapier, REST APIs; fewer natives Shopify integration; best for ecommerce
Setup speed Advanced setup; longer ramp time No-code; live in minutes No-code; launch phone agent fast
Automation quality Strong automation, context memory, escalations Good FAQs; occasional hallucinations Self-learning calls; human-like responses
Analytics Rich dashboards, intent insights Basic analytics; keywords, sentiment Real-time call analytics, ROI
Pricing Per-resolution add-on; costly scale Credit-based tiers; caps, overages Predictable per-minute; month-to-month

Fin AI - a quick overview

Founded in San Francisco in 2015 by Andrew Kortina and Sam Lessin, Fin AI delivers advanced AI-powered solutions for customer support and service teams. The platform specializes in capturing workflow data and transforming it into actionable productivity insights, helping enterprises optimize remote support operations and improve agent performance.

Fin AI is trusted by a growing base of enterprise users, particularly in ecommerce and customer service, who benefit from features like workflow analytics, process mining, and seamless integrations with leading help desk platforms. The company’s focus on remote support and contact center efficiency has earned it recognition as a leader in process mining for service teams.

In the following section, we’ll break down Fin AI’s features, pros and cons, pricing, and user reviews, comparing them with Chatbase and Ringly.io.

Fin AI Features

  • Fin AI Conversational AI Chatbots handle customer queries across web and messaging channels, providing instant automated support that reduces response times.
  • Fin AI Knowledge Base Integration connects to help centers or documentation to answer questions from existing content, improving accuracy and ticket deflection.
  • Fin AI Omnichannel Support operates across web chat, SMS, and messaging apps, enabling consistent customer service in users' preferred channels.
  • Fin AI Integration Ecosystem works with major CRMs, helpdesks, and messaging platforms, streamlining workflows and synchronizing customer data.
  • Fin AI Analytics and Insights offers dashboards for bot performance, satisfaction, and issue trends, guiding optimization and staffing decisions.

Suitable for digital-first support teams with high web or app traffic that require scalable chat automation, knowledge-based answers, broad channel coverage, and measurable performance.

Fin AI: Key Pros and Cons

Pros

  • Fewer tickets, Automation, often cuts repetitive workload by about 40% for many teams compared with Ringly.io’s more guided flows.
  • More precise answers, Context memory, keeps multi-step history to raise resolution quality, whereas Ringly.io may rely on stricter paths.
  • Seamless handoffs, Escalation routing, passes full context to agents so customers avoid repeating details, more native inside Intercom than Ringly.io.
  • On-brand replies, Tone and domain tuning, tailors voice and rules for regulated use cases, while Ringly.io offers broader presets.
  • Faster iteration, Intent analytics, highlights knowledge gaps so teams prioritize fixes, compared with Ringly.io’s simpler reporting.

Cons

  • Rising expense, Usage-based pricing, can spike at high ticket volumes, while Ringly.io may scale more predictably.
  • Extra setup, Non-Intercom integrations, often need manual work compared with Ringly.io’s open API approach.
  • Occasional inaccuracies, Generative answers, may hallucinate on unfamiliar topics, where Ringly.io can default to safer deflection.
  • Slower setup for large orgs, Audience rules, complex visibility settings can delay onboarding, whereas Ringly.io keeps targeting more basic.
  • Ramp-up time, Advanced features, require training for new users, while Ringly.io may feel lighter at first.

Best for Intercom-centric support teams needing deep automation and context. Consider alternatives if predictable costs, plug-and-play integrations, or lighter onboarding matter more than advanced tuning and analytics.

Chatbase - a quick overview

Founded by Yasser Elsaid, Chatbase is an innovative AI platform that enables businesses to create custom chatbots for customer support, lead generation, and user engagement. The company focuses on delivering AI-powered chatbots that learn from your data and adopt your brand’s voice to enhance customer interactions.

Chatbase serves a wide range of users including e-commerce sites and support teams, offering features like easy no-code chatbot creation, document uploads for training content, analytics on chatbot performance, and integrations with business workflows. Its user-friendly design helps companies automate repetitive tasks while gaining valuable insights from customer conversations.

The next section will explore Chatbase’s features, pros and cons, pricing plans, and user reviews compared to Fin AI and Ringly.io to provide a clear understanding of how it stacks up against competitors in the AI chatbot space.

Chatbase Chatbot Features

  • Chatbase chatbot Custom Chatbot Builder trains on your documents, URLs, and pasted text to deliver accurate, domain-specific answers for customer support.
  • Chatbase chatbot Multi-Channel Deployment embeds on websites and integrates with WhatsApp, Messenger, and Slack to provide consistent help across key digital channels.
  • Chatbase chatbot Integrations & API Access connects via Zapier and REST APIs to trigger workflows such as CRM updates, ticket creation, and email notifications.
  • Chatbase chatbot Analytics Dashboard reports keywords, resolution rate, and sentiment to identify content gaps and improve bot performance over time.
  • Chatbase chatbot Automated FAQ Handling answers repetitive questions using verified business content to cut ticket volume and speed up responses.

Suitable for support and growth teams that need scalable web and messaging chat automation with integrations and analytics for measurable deflection.

Chatbase: Key Pros and Cons

Pros

  • Faster launches, No-code setup, letting non-technical teams deploy a bot in minutes.
  • More relevant answers, Own-data training, so PDFs, docs, and URLs shape responses.
  • Lower workload, Automated FAQ handling, freeing agents and reducing support costs.
  • Better decisions, Analytics dashboard, revealing gaps and usage trends for continuous tuning.
  • Broad reach, Channel and CRM integrations, connecting with WhatsApp, Instagram, Slack, Zapier, and CRMs while Ringly.io emphasizes reliability over breadth.

Cons

  • Slower help when problems arise, Customer support responsiveness, which can delay fixes compared with Ringly.io’s more hands-on approach.
  • Limited flexibility, Advanced customization, with fewer branding, workflow, and bulk import options than developer-centric rivals.
  • Interrupted service, Stability and performance, with reports of crashes, API errors, or slow loads that hinder mission-critical use.
  • Occasional wrong answers, Hallucination control, creating trust risks on complex queries where Ringly.io focuses on tighter guardrails.
  • Higher total cost, Pricing and limits, as credits and character caps feel restrictive for growth-minded teams.

Best for lean teams needing quick, no-code chatbots on their data; consider alternatives if you require rigorous uptime, richer customization, multilingual depth, or transparent, scalable pricing for high-volume or mission-critical deployments.

Pricing - Fin AI vs Chatbase

Note: The pricing information below is accurate at the time of writing and may be subject to change. For the most up-to-date pricing, please visit each company's pricing page.

Fin AI pricing

Plan Name Base Price (per seat/mo) Fin AI Add-on Key Features Contract Length
Essential $39 +$0.99/resolution (min. 50/mo) Core Intercom support features, access to Fin AI agent, basic integrations Monthly or annual; annual discounts may apply
Advanced $99 +$0.99/resolution (min. 50/mo) Advanced automation, reporting, more integrations, access to Fin AI agent Monthly or annual; annual discounts may apply
Expert $139 +$0.99/resolution (min. 50/mo) Full feature set, premium support, advanced analytics, access to Fin AI agent Monthly or annual; annual discounts may apply

Chatbase pricing

Plan Price (USD/mo) Key Features Contract Length / Billing
Free $0 - 1 AI agent
- 100 message credits/mo
- 400KB–400K chars training data
- Basic models only
- Up to 10 links for training
- Agent deleted after 14 days inactivity
Month-to-month; no commitment
Hobby $40 - Everything in Free plus:
- 2,000 message credits/mo
- Up to 5 AI agents (sources vary)
- 11M chars per agent
- Unlimited links for training
- All integrations included
- 5 AI actions/agent
Monthly or annual; discount may apply if paid annually
Standard $150 - Everything in Hobby plus:
- 12,000 message credits/mo
- Up to 2 AI agents
-10 AI actions/agent
-3 human agents/seats
Monthly or annual
Pro $500 - Everything in Standard plus:
–40,000 message credits/mo
–Up to 3 AI agents
–15 AI actions/agent
–Up to 5 team members (+$25/member extra)
Monthly or annual
Enterprise Custom ($$$) - Everything in Pro plus:
- Custom usage limits & bots
- Priority support/SLA guarantees
- Dedicated success manager
Negotiable

Ringly.io pricing

Ringly.io has simple, usage-based pricing with no hidden fees or long-term commitments. Test drive it risk-free for 14 days, then scale up or down on month-to-month terms—or book a demo for fully tailored enterprise support.

Plans Price Included Contract Cancellation
Start 99,- /mo ✓ 250 call minutes, then $0.36/min
Monthly Anytime Start 14-day free trial →
Grow (Most popular) 349,- /mo ✓ 1,000 mins, then $0.19/min
✓ Self-learning
✓ AI knows your customers
✓ 30-day onboarding
Monthly Anytime Start 14-day free trial →
Scale 1099,- /mo + setup fee ✓ Custom price/min
✓ Custom agent & integrations
✓ Slack channel
Custom Custom Book your demo →

Compare plans →

Online customer reviews: Fin AI vs Chatbase

Summary

Fin AI is best for support teams needing advanced features and deep Intercom integration; expect higher costs at scale. Chatbase fits startups and SMBs seeking fast, affordable, custom-trained bots, but offers fewer native integrations and has limited third-party review coverage.

What users are saying about Fin AI

"Reduced our workload"Anonymous, Customer Service Manager Fin has been great for reducing workload, handling issues that were quite laborious before... the new review features are great, and giving suggested articles and snippets has been a huge help.

"Gets expensive fast"Anonymous, Technical Lead It’s affordable at low volumes, but once our bot hit the upper plan, the monthly bills exploded—pricing gets steep fast for enterprise volumes...

What users are saying about Chatbase

"Easy to set up"Anonymous, Small Business Owner Chatbase is loved for being affordable, easy to set up, and allowing teams to custom-train bots on their own data... you can go from zero to a live AI customer support chatbot in minutes, fully trained on your content, and customizable.

"Limited integrations"Anonymous, SaaS Founder Some users point out limited features and integrations... it does not offer native CRM or helpdesk features; you manage those connections yourself.

What users are saying about Ringly.io:

Ringly.io is known for its simplicity, and a focus on e-commerce, with features like abandoned cart recovery and order status lookups. It has a 4.8 star rating from 12 reviews on Product Hunt and other platforms.

"it stands out significantly ahead" - Bertrand, Director. We are at the initial stage of testing and have made only a few calls so far. Consequently, I have rated the product with four stars for now. However, I must express that the product has shown significant promise. When compared to competitors, it stands out significantly ahead.

"This is such a great product" - Jim Miranda, Founder. This is such a great product. I have been with you for less than a week and already closed 3 deals with it."

"It really sounds like a human" - Laix, Founder. Tried Ringly.io today and the quality of the phone calls surprises me! It really sounds like a human, and it reacts really fast. Will need to deploy it in action to see the full capabilities.

"How to automate customer service? -> Ringly.io" - Sidra Husnain, Founder.

Fin AI vs Chatbase: Which is best for you?

Each tool shines for different needs. Here is a quick guide to help you choose. Overall, Ringly.io fits most businesses because it mixes fast setup, predictable costs, and real revenue impact with AI phone agents.

Who Fin AI is best for…

  • Intercom-first support teams that want deep automation, context memory, and smooth agent handoffs inside Intercom.
  • Enterprises and scaling ecommerce with high chat volume that need rich analytics and omnichannel coverage.
  • Ops leaders who value intent insights, process mining, and fine-tuned tone controls.
  • Teams with time and budget for advanced setup and usage-based costs as volume grows.

Who Chatbase is best for…

  • Startups, creators, and small sites that want a no-code chatbot live in minutes.
  • Content-heavy teams that need bots trained on PDFs, docs, and URLs for FAQ deflection.
  • Multi-channel basics across web, WhatsApp, Messenger, and Slack using Zapier and APIs.
  • Budget testers okay with credit limits, lighter customization, and simpler controls.

Who Ringly.io is best for…

  • Ecommerce and DTC brands that want AI phone agents for support, sales, cart recovery, and order status lookups.
  • SMB to enterprise teams that need predictable pricing, month-to-month terms, and quick onboarding.
  • High-volume support that values reliable performance, natural voice calls, and self-learning.
  • Revenue-focused leaders who want measurable ROI from abandoned cart recovery and proactive outreach.

Why Ringly.io as the overall pick: it is easy to launch, scales with clear pricing, and adds phone-based automation that boosts both customer experience and revenue. It fits businesses of all sizes, from first ticket to enterprise scale.

Why Ringly.io is a Better Choice

Highly Rated: 4.8/5

Founded in 2024 in Rotterdam, the Netherlands, by Maurizio Isendoorn and Ruben Boonzaaijer, Ringly.io is revolutionizing e-commerce customer service with AI phone agents. Designed for online businesses, Ringly handles customer calls on autopilot—solving support issues, recovering abandoned carts, and even boosting sales—at just 20% of the cost of human agents.‍

Ringly.io founders: Maurizio and Ruben
Ringly.io founders – Maurizio (left), Ruben (right)

With 2,300+ customers, Ringly.io is the go-to solution for e-commerce stores looking to scale without scaling their support team. With award-winning technology (BubbleCon 2024's "Most Innovative App"), Ringly.io transforms your phone system into a revenue-driving powerhouse—without the headaches of traditional call centers.‍

Features that make Ringly.io the #1 alternative to Fin AI and Chatbase:

No-code setup, instant results – Ringly.io is ready to go in minutes. Just add your website, docs, or text—no engineering required—and your AI phone agent instantly understands your business. It even updates automatically as your website changes.‍‍‍

Ringly.io page of user's AI phone agents

AI-powered sales & support – Ringly.io does both inbound and outbound calls. Recover 35%+ of abandoned carts with automated follow-up calls, provide real-time order tracking from Shopify, and convert more customers with personalized AI-driven conversations—not just reactive support.‍‍

Ringly.io Call History page

Advanced analytics for smarter decisions – Ringly.io gives you real-time call data, customer intent tracking, and performance reports—helping you optimize support and sales strategies.‍‍‍

Ringly.io Analytics of AI phone agent page

Scalable pricing without enterprise contracts – Ringly.io offers transparent, scalable pricing—pay for what you use, no locked-in contracts.‍

Conclusion

All three platforms help you automate customer support—just in different ways. Your best choice depends on channel focus, depth of control, and cost predictability.

If you want the fastest path to revenue from support, voice automation matters. That’s where Ringly.io quietly stands apart with AI phone agents, predictable pricing, and ecommerce outcomes.

Fin AI — best for Intercom-centric automation

  • Deep Intercom integration, context memory, and precise agent handoffs for high-volume chat.
  • Rich analytics and intent insights for ops leaders who want process mining and tuning.
  • Choose it if you’re Intercom-first and okay with per-resolution costs and heavier setup.

Chatbase — best for quick, no-code web chatbots

  • Train on your PDFs, URLs, and docs to deflect FAQs fast with a no-code builder.
  • Zapier and messaging integrations for startups testing chat automation across channels.
  • Pick it for speed and simplicity; skip it for mission-critical uptime or deep workflows.

Ringly.io — best for ecommerce and voice-driven ROI

  • AI phone agents that handle support and sales: answer calls, recover abandoned carts, and check order status.
  • No-code setup, self-learning, and real-time analytics with transparent, scalable pricing.
  • Go with Ringly.io if you’re in ecommerce or want measurable revenue impact from voice automation.

Bottom line: Fin AI excels for Intercom-native chat. Chatbase shines for quick web bots. But for ecommerce—or when you want phone-based automation with clear pricing and tangible revenue lift—choose Ringly.io.

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