Directory of AI claims automation vendors for insurers
The AI FinTech Index holds 5 of them, each graded on the same 15 capability axes from public sources, with the artifact every grade was read from attached to the record.
No vendor pays for inclusion, placement or rating. Counts generated 2026-08-24 across 490 indexed vendors. What moved is in the change log.
Straight through processing claims deserve the same scrutiny as any autonomy claim: what the system settles alone, and what a human reviews. Ask for automation rates published with the appeal and overturn rates beside them, because a decision reversed on appeal was automated wrongly.
What is in this directory. Screened to intake, adjudication and handling of claims. Fraud detection inside claims is included where it is the vendor own franchise.
Part of the wider Insurance AI category.
What the public record shows in this directory
The share of the 5 indexed vendors here whose public record answers each of the nine regulatory questions a financial institution diligence process works through, and where this directory ranks against the other 50 directories in the index on the same question, highest share first. A thin share means the public record is thin, not that a control is absent.
The AI FinTech Index lists 5 AI claims automation vendors for insurers, graded on 15 capability axes from public sources with no paid placement and no aggregate score. Across this directory the best documented part of the public record is how much the system decides on its own at 100 percent, and the thinnest is which models sit underneath at 0 percent, which is 49 highest of 50 directories in the index on that question. Across the whole index of 490 vendors, none documents all nine regulatory axes in public and the average documents 2.94.
Source: AI FinTech Index, August 2026
| Vendor | Category | AI Centrality | Website |
|---|---|---|---|
|
C
CLARA Analytics
CLARA Analytics sells casualty claims intelligence to insurers under the CLARAty.ai platform, applying document intelligence, predictive models and generative AI to medical notes, medical bills and legal demand packages across workers compensation, commercial auto liability and general liability. Named modules cover triage, medical provider scoring, fraud referral, subrogation identification and Medicare Secondary Payer submissions. Its models are trained on a contributory database of pooled claims outcomes contributed by its own customers. Buyers are carriers, managing general agents and underwriters, reinsurers, third party administrators and self insured organisations.
|
Insurance AI | A | claraanalytics.com |
|
C
Curacel
Curacel is insurance infrastructure for African and emerging markets, automating claims processing and detecting fraud, waste and abuse for insurers, healthcare providers and third party administrators. Its models vet claims automatically so staff handle only quality control, and customers report cutting fraudulent, wasteful and abusive payouts by around 25 percent while shortening claims cycles by more than 70 percent and processing up to ten times more claims. Beyond serving insurers directly it links them to primary care hospitals, travel agencies, automobile companies and security firms, and its embedded product lets technology companies offer insurance inside their own services without becoming insurers. Named customers include three of the largest insurers operating on the continent. Backers include Y Combinator, Google and Tencent.
|
Insurance AI | A | curacel.co |
|
E
Elysian
Elysian is a third party administrator built around AI from the start, handling complex commercial liability and property claims end to end for carriers while its Claim Conductor technology takes the routine work of data entry, report writing and initial assessment so veteran adjusters concentrate on coverage judgement, negotiation and the human side of resolution. A separate Dynamic Claim Review product applies the same technology to portfolio wide oversight, delivering expert led analysis of claims handling practices faster than a traditional audit.
|
Insurance AI | A | elysian.is |
|
K
Koios Intelligence
Montreal company founded 2017 by Mohamed Hanini, selling Olivo, a multi agent conversational AI platform for insurance brokers and insurers across property and casualty, life and health and financial services. Olivo combines conversational AI with intelligent document processing and workflow automation, operating 24/7 across web, phone, text and email, handling quote intake, customer service, document extraction and onboarding, with a compliance module that validates information consistency across sources and evaluates applications against underwriting and regulatory requirements. Integrated with Applied and with the Centre for Study of Insurance Operations, the Canadian industry data standards body.
|
Insurance AI | A | koiosintelligence.ca |
|
R
Reserv
Reserv handles property and casualty claims end to end for insurers, corporate captives, managing general agents, brokers and self insured businesses, operating both as a licensed third party administrator with more than five hundred adjusters and as a claims intelligence software provider. Its platform automates handling from first notice of loss through settlement, lets each client choose how much automation to apply by claim complexity, and migrates historical and open claim files into one database in weeks rather than months.
|
Insurance AI | B | reserv.com |
Common questions
Is there a directory of AI claims automation vendors for insurers?
Yes. The AI FinTech Index lists 5 AI claims automation vendors for insurers, each graded on the same 15 capability axes from public sources, with the artifact every grade was read from attached to the record. No vendor pays for inclusion, placement or rating, no vendor is contacted before it is listed, and nothing sits behind a form. Counts generated 2026-08-24.
What counts as insurance claims automation in this directory?
Screened to intake, adjudication and handling of claims. Fraud detection inside claims is included where it is the vendor own franchise. The index holds 5 vendors meeting that screen, drawn from a wider Insurance AI category and from adjacent categories where the vendor belongs on the same shortlist. A vendor filed under a different category can still appear here, because a buyer building this shortlist does not sort by our filing.
What should a buyer check before shortlisting insurance claims automation vendors?
Start with what this segment does not publish. Across the 5 indexed vendors, the thinnest parts of the public record are which models sit underneath at 0 percent, security certification depth at 0 percent, and deployment model and data residency at 20 percent. A thin public record predicts the length of a diligence process rather than the absence of a control, so these are the questions to put in writing early. Straight through processing claims deserve the same scrutiny as any autonomy claim: what the system settles alone, and what a human reviews. Ask for automation rates published with the appeal and overturn rates beside them, because a decision reversed on appeal was automated wrongly.
Comparisons inside this directory
Other directories in Insurance AI
One category is several buying decisions sharing a label. Each of these narrows the same market to a different one.