by Intercom in AI agents, Customer support
Documented criteria are source-backed values, not estimates. Research records can still have unknown results. Verified does not mean independently tested; extraction confidence and human review are shown with each claim.
| Attribute | Value | State and source |
|---|---|---|
| Enterprises named as an audience | Yes | Verified71% confidenceEvidenceExcerpt ...eCommerce, Gaming, and in heavily regulated industries like Financial Services, and large Enterprise businesses. Our customers are very happy, Fin is the leader on G2 , with a 90% satisfacti... Excerpt kindrunning text Subject named in excerptno Sourcehttps://fin.ai/ · Primary documentation · retrieved 3 times from 2026-09-02 to 2026-10-02 · every date Sourcehttps://fin.ai/integrations · Primary documentation · retrieved 2026-09-02 Confidence71% - capped at the average precision across all our readers (71%); this reader has no measurement of its own HistoryStatement history How it was read Read bytext pattern muster:\b(?:global|large) enterprises\b(?! inc| ltd| limited)First observed2026-09-02 Last checked2026-10-02 Human reviewnot documented Source confidence90% Reader precision71% - no measurement for this reader; this is the average across all our readers, measured by hand Excerpt-kind precision79% (measured by hand over 857 statements of this kind) Confidence interpretationA heuristic informed by source assessment and reader samples, not a calibrated probability that this individual claim is correct. |
| Financial services named as a market | Yes | Verified70% confidenceEvidenceExcerpt ...re and Technology, Retail and eCommerce, Gaming, and in heavily regulated industries like Financial Services, and large Enterprise businesses. Our customers are very happy, Fin is the leader on G2 ,... Excerpt kindrunning text Subject named in excerptno Sourcehttps://fin.ai/ · Primary documentation · retrieved 3 times from 2026-09-02 to 2026-10-02 · every date Sourcehttps://fin.ai/integrations · Primary documentation · retrieved 2026-09-02 Confidence70% - capped at the measured precision of this reader (70%) HistoryStatement history How it was read Read bytext pattern muster:\bfinancial services\b(?! limited| ltd| llc| inc| uab| gmbh| ag\b| sa\b| s\.a\.| b\.v\.| pty| oy\b| ab\b| corp| corporation| company| co\.| bank| plc| holdings| group| authority| commission| act\b| regulatory)First observed2026-09-02 Last checked2026-10-02 Human reviewnot documented Source confidence90% Reader precision70% (measured by hand for this reader) Excerpt-kind precision79% (measured by hand over 857 statements of this kind) Confidence interpretationA heuristic informed by source assessment and reader samples, not a calibrated probability that this individual claim is correct. |
| Gaming named as a use | Yes | Verified70% confidenceEvidenceExcerpt ...customers across many verticals including Software and Technology, Retail and eCommerce, Gaming, and in heavily regulated industries like Financial Services, and large Enterprise busine... Excerpt kindrunning text Subject named in excerptno Sourcehttps://fin.ai/ · Primary documentation · retrieved 3 times from 2026-09-02 to 2026-10-02 · every date Sourcehttps://fin.ai/integrations · Primary documentation · retrieved 2026-09-02 Confidence70% - capped at the measured precision of this reader (70%) HistoryStatement history How it was read Read bytext pattern muster:\bgam(?:ing|ers?)\bFirst observed2026-09-02 Last checked2026-10-02 Human reviewnot documented Source confidence90% Reader precision70% (measured by hand for this reader) Excerpt-kind precision79% (measured by hand over 857 statements of this kind) Confidence interpretationA heuristic informed by source assessment and reader samples, not a calibrated probability that this individual claim is correct. |
| ISO/IEC 27001 | Yes | Verified79% confidenceEvidenceExcerpt ...Fin has the reliability global enterprises depend on, and the certs you expect: SOC2 and ISO 27001, ISO 42001 and AIUC-1, ISO 27701 and HIPAA. Fin works with Okta, Azure AD, OneLogin for S... Excerpt kindrunning text Subject named in excerptno Sourcehttps://fin.ai/ · Primary documentation · retrieved 3 times from 2026-09-02 to 2026-10-02 · every date Confidence79% - capped at the measured precision of this kind of excerpt (79%, prose), which is below the reader's own precision (87%) HistoryStatement history How it was read Read bytext pattern muster:(?<!(?:align|commit|working towards|pursu|accordance|based on|in line with|framework)[^.?!]{0,60})ISO[\s/]*(IEC[\s/]*)?27001(?![^.?!]{0,60}(?:in progress|underway|pursu|working towards|planned|road ?map|commitment|aligned|alignment|framework))First observed2026-09-02 Last checked2026-10-02 Human reviewnot documented Source confidence90% Reader precision87% (measured by hand for this reader) Excerpt-kind precision79% (measured by hand over 857 statements of this kind) Confidence interpretationA heuristic informed by source assessment and reader samples, not a calibrated probability that this individual claim is correct. |
| Retail or e-commerce named as a market | Yes | Verified79% confidenceEvidenceExcerpt ...ny more. Fin works for customers across many verticals including Software and Technology, Retail and eCommerce, Gaming, and in heavily regulated industries like Financial Services, and l... Excerpt kindrunning text Subject named in excerptno Sourcehttps://fin.ai/ · Primary documentation · retrieved 3 times from 2026-09-02 to 2026-10-02 · every date Sourcehttps://fin.ai/integrations · Primary documentation · retrieved 2026-09-02 Confidence79% - capped at the measured precision of this kind of excerpt (79%, prose), which is below the reader's own precision (88%) HistoryStatement history How it was read Read bytext pattern muster:\bretail\b(?! (?:price|value|prices|banking|stores?|locations?|partners?|chain)\b)First observed2026-09-02 Last checked2026-10-02 Human reviewnot documented Source confidence90% Reader precision88% (measured by hand for this reader) Excerpt-kind precision79% (measured by hand over 857 statements of this kind) Confidence interpretationA heuristic informed by source assessment and reader samples, not a calibrated probability that this individual claim is correct. |
These are claims about who the vendor addresses, read off their own pages. They say nothing about how well the product serves that audience.
| Observations | 35 | 2026-09-02 to 2026-10-18 |
| Lowest recorded | USD 35 | 2026-09-02 |
| Average of observed prices within the 30-day window | USD 35 | 18 observations over 29 days |
| Average of observed prices within the 90-day window | USD 35 | 35 observations over 46 days |
| Average of observed prices within the 365-day window | Not enough history | 35 observations, but they span only 46 days of 365 |
| Observations | 35 | 2026-09-02 to 2026-10-18 |
| Lowest recorded | USD 0.99 | 2026-09-02 |
| Average of observed prices within the 30-day window | USD 0.99 | 18 observations over 29 days |
| Average of observed prices within the 90-day window | USD 0.99 | 35 observations over 46 days |
| Average of observed prices within the 365-day window | Not enough history | 35 observations, but they span only 46 days of 365 |
Every documented value links to the page we read it from, with the source tier and the day we retrieved it, in its row under Specifications. “Evidence” in that row opens the excerpt.
These attributes are open in our research. We looked and found no reliable evidence; 150 addresses were checked and are listed below. That is a statement about our research and never about the product.
| Attribute | State | What we checked |
|---|---|---|
| Audit log | Not yet verified | Checked 2 addresses (37 reads), most recently on 2026-10-18: fin.ai, fin.ai/pricing |
| Data processing agreement offered | Not yet verified | Checked 1 address (3 reads), most recently on 2026-10-02: fin.ai |
| EU data residency stated | Not yet verified | Checked 2 addresses (25 reads), most recently on 2026-10-18: fin.ai, fin.ai/pricing |
| FedRAMP authorisation | Not yet verified | Checked 1 address (3 reads), most recently on 2026-10-02: fin.ai |
| GDPR compliance stated | Not yet verified | Checked 1 address (3 reads), most recently on 2026-10-02: fin.ai |
| Human approval required | Not yet verified | Checked 1 address (2 reads), most recently on 2026-10-02: fin.ai |
| Education named as a market | Not yet verified | Checked 1 address (3 reads), most recently on 2026-10-02: fin.ai |
| Energy or utilities named as a market | Not yet verified | Checked 1 address (3 reads), most recently on 2026-10-02: fin.ai |
| Healthcare named as a market | Not yet verified | Checked 1 address (3 reads), most recently on 2026-10-02: fin.ai |
| Logistics or supply chain named as a market | Not yet verified | Checked 1 address (3 reads), most recently on 2026-10-02: fin.ai |
| Manufacturing named as a market | Not yet verified | Checked 1 address (3 reads), most recently on 2026-10-02: fin.ai |
| Public sector named as a market | Not yet verified | Checked 1 address (3 reads), most recently on 2026-10-02: fin.ai |
| SCIM user provisioning | Not yet verified | Checked 2 addresses (38 reads), most recently on 2026-10-18: fin.ai, fin.ai/pricing |
| SOC 2 Type II | Not yet verified | Checked 1 address (3 reads), most recently on 2026-10-02: fin.ai |
| Creators named as an audience | Not yet verified | Checked 1 address (3 reads), most recently on 2026-10-02: fin.ai |
| Families named as an audience | Not yet verified | Checked 1 address (3 reads), most recently on 2026-10-02: fin.ai |
| Freelancers named as an audience | Not yet verified | Checked 1 address (3 reads), most recently on 2026-10-02: fin.ai |
| Remote or hybrid teams named as an audience | Not yet verified | Checked 1 address (3 reads), most recently on 2026-10-02: fin.ai |
| Small businesses named as an audience | Not yet verified | Checked 1 address (3 reads), most recently on 2026-10-02: fin.ai |
| Students named as an audience | Not yet verified | Checked 1 address (3 reads), most recently on 2026-10-02: fin.ai |
We published these statements and later withdrew them. Each line names the day and the reason. A withdrawal describes our reading of a source, never the product or the vendor; the former value stays visible so that the correction can be checked.
| Attribute | Former value | Withdrawn | Reason |
|---|---|---|---|
| SOC 2 Type II | 2026-09-02 | Retired 2026-09-02: read from a page whose research task carries no attributes (an integrations or marketplace page); the read happened only because an empty attribute list meant every pattern. | |
| Public API | 2026-09-02 | Retired 2026-09-02: the attribute does not apply to this kind of subject (attribute.gilt_fuer). | |
| Entry price per month | 2026-09-02 | Retired 2026-09-02: the attribute does not apply to this kind of subject (attribute.gilt_fuer). | |
| Free tier | 2026-09-02 | Retired 2026-09-02: the attribute does not apply to this kind of subject (attribute.gilt_fuer). | |
| Public list price | 2026-09-02 | Retired 2026-09-02: the attribute does not apply to this kind of subject (attribute.gilt_fuer). |
An open attribute describes our research and never the product.
Ask Intercom for a demo, a quote or an introduction. Your request is passed on only with your consent.
| Product | Vendor | Evidence |
|---|---|---|
| Salesforce | Verified90% confidence
source
(Primary documentation), retrieved 2026-09-02
|
