Fini AI

Self-improving AI agent platform for customer support, resolving tickets across voice, chat, and email with a reasoning-first (RAGless) architecture.

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Founded: 2022
Headquarters: Amsterdam, Netherlands
Company size: 11–50
Products tracked: 2

Products by Fini AI

2 products

Fini AI Support PlatformRAGless reasoning-first AI agent that resolves 90% of support tickets across voice, chat, and email at 99% accuracy.0.00 reviewsCustomer Support Agents

Knowledge AtlasSelf-learning, self-improving knowledge base that ingests documents, tickets, and knowledge sources with zero manual tagging.0.00 reviewsEnterprise Search & Knowledge

Rankings

Appears in these rankings

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Financial Services & InsuranceMaintain Knowledge Basesvia Knowledge Atlas#1Knowledge, Search & Research Healthcare & Life SciencesMaintain Knowledge Basesvia Knowledge Atlas#1Knowledge, Search & Research

Customer voice

Customer testimonials

Quotes published on Fini AI's official website.

Maggie’s doing very well. She’s accurate in over 97% of the cases. It’s great to see how little tweaks in Knowledge Items can improve her performance further.

Customer testimonialOriginal

Customer outcomes

Case studies

Selected customer stories from Fini AI.

Case study

How LISA Hockey Cuts Support Workload by 50% with Fini

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Case study

How Qogita Hit 88% Resolution in E-commerce

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Pricing for Fini AI

Per Seat, Subscription

This is the broad commercial model reported for Fini AI. Product-level terms are listed below when available.

Fini AI Support PlatformRAGless reasoning-first AI agent that resolves 90% of support tickets across voice, chat, and email at 99% accuracy.

Pricing model: Per Seat, Subscription
Entry option: Free trial
Starting price: $3,000/mo billed annually

Knowledge AtlasSelf-learning, self-improving knowledge base that ingests documents, tickets, and knowledge sources with zero manual tagging.

Entry option: Free trial

Trust profile

Security and compliance

SOC 2 Type II

ISO/IEC 27001

ISO/IEC 42001

PCI DSS

HIPAA

PII Shield with real-time redaction before model calls