Directory of AI claims automation vendors for insurers

Bdeo sells what it calls Visual Intelligence, a computer vision system that analyzes photographs and video of damaged vehicles and homes to detect damage, determine its severity and support the decisions that follow. The founding premise, stated by its chief executive, is that roughly 70 percent of claims are minor and can be assessed with technology rather than by sending a person, and the product is built to capture that band remotely. The estate spans both ends of the policy lifecycle. On claims it handles motor and household damage assessment, checks historical images for pre existing damage, helps repair workshops prepare estimates, and supports authorization by validating a repairer's estimate against the image evidence. On underwriting it performs inspections of used vehicles before a policy is written, which is its dominant use in the Spanish market. A fleet product provides visual status of vehicle fleets for leasing, rental and rent a car operators. Regional deployments differ in emphasis: United Kingdom operations concentrate on claims, Spain on underwriting inspection, Mexico on rapid customer response, and Germany on integration with local telematics providers so that an incident is detected automatically and visual capture begins immediately. Scale is stated as more than 50 insurers across more than 25 countries in Europe and Latin America, with presence in Spain, Portugal, Italy, France, the Nordics, the United Kingdom, Mexico, Colombia and Argentina, and a South African client. The company reported in mid 2023 that it handled more than half of motor insurance underwriting in Spain and worked with 8 of the 10 leading Spanish motor insurers. Named customers include Reale, Mapfre and Generali in Spain, Ageas and Fidelidade in Portugal, Zurich, Allianz and BBVA in Latin America, Hollard in South Africa, and Mutua Madrileña, with whom it built a system to automate policy underwriting. Founded in 2017 in Madrid by Julio Pernía and Manuel Moreno, both from the insurance industry, the company employs roughly 63 people and states that 65 percent of the team works on the technology itself. It has raised approximately $15.2 million across seed, Series A and Series B rounds from BlackFin, K Fund, Armilar, Big Sur Ventures, the Spanish industrial technology development center, Íope Ventures and the South African insurer Hollard, which is both an investor and a named client, alongside regional grants and a European Innovation Council Seal of Excellence.

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 organizations.

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.

Elysian handles insurance claims as a licensed third party administrator and sells the AI behind that work as software. Carriers, managing general agents and self insured organizations can hand it their claims end to end, while insurers that keep their own claims teams can buy Ely Adjust, which guides adjusters on open files, or Ely Audit, which reviews handling quality across a whole book. All three run on Claim Conductor, the claims system Elysian built and uses on the files it administers, and on Ely, its specialist claims agent. The administrator was built for complex commercial lines, with adjusters who specialize in commercial auto and trucking, construction defect, general liability, management liability, miscellaneous professional liability, specialty and bodily injury, and it is designed to take any claim, personal lines included. Clients set the handling and payment approval thresholds their files run under and follow claims, reporting and analytics through an oversight portal. Intake runs through voice agents, a portal, email and telephony, with fraud identification and risk scoring on the same platform. Ely reads the whole claim file, from documents and images to audio, telematics, correspondence and financials, and applies coverage, liability, jurisdiction and venue reasoning alongside each carrier's own handling guidelines. Ely Adjust reviews every open claim daily, ranks files by risk and recommends next steps, each traced to a cited source in the file. The adjuster makes every call, and a supervisor can approve recommendations before they reach the adjuster. Ely Audit, previously called Dynamic Claim Review, scores open and closed claims across a full portfolio rather than a sample of about 2 percent, against the client's scoresheet or Elysian's, and surfaces leakage and handling patterns. Both connect to the carrier's existing claims system and can be bought separately or together. Founded in 2024 by Grace Hanson, an attorney who has served as chief claims officer at five insurers, Elysian is headquartered in New York and its adjusters are based in the United States. It reports that 95 percent of Ely's audit findings agree with carrier audit teams and that a file review that took a full day now takes eight minutes, and it maintains a SOC 2 Type II attestation.

FRISS screens the whole policy lifecycle for property and casualty insurers and calls the result trust automation, which is a deliberate inversion of how this category usually talks. Rather than leading with fraud caught, it leads with honest customers cleared: screening every application and claim within seconds so trustworthy business moves faster, with the suspicious minority routed to a person. The company states its purpose as not wanting people to pay higher premiums because others commit fraud. The product covers three points in the lifecycle. At underwriting it screens new policy applications and renewals in the seconds it takes an applicant to complete a form, scoring for misrepresentation and high risk. At claims it scores at first notice of loss and across the claim lifecycle. For special investigation units it supports structured and confidential fact building on the cases that are flagged. One published customer describes screening results as decisive in deciding what is accepted, reviewed or rejected. The company publishes a responsible AI position, setting out transparency, fairness, accountability and governance as principles. It engages the EU AI Act by name, including its enforcement timeline. Scale is substantial for a focused vendor: more than 300 implementations across more than 45 countries, roughly 223 staff, and $81 million raised including a $65 million Series B led by Accel KKR with Aquiline. An independent 2026 buyer's assessment places it as the mid market detection vendor most commonly shortlisted by United States carriers alongside the industry data utility, with automotive its strongest line and its United States footprint growing through integrations with the dominant claims core platform. The same assessment notes its cross carrier contributory data network is smaller than the market leader's. Founded 2006 by Jeroen Morrenhof and Christian van Leeuwen, headquartered in Utrecht with a United States base in Ohio and offices across the United Kingdom, France, Spain, the German speaking markets and Latin America.

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.

Origami Risk sells a cloud native platform spanning risk, safety, insurance and compliance operations. Its breadth lies in buyer type rather than insurance depth. The estate runs across a risk management information system, governance risk and compliance, environment health and safety, healthcare integrated risk management, and a property and casualty insurance core covering policy administration, billing, claims administration and underwriting, all delivered from one platform and one data model. The buyer set is correspondingly wide, taking in insurance carriers, third party administrators, brokers and managing general agents alongside the organizations that carry their own risk, including government, healthcare, construction, manufacturing, energy and retail, and the risk pools that serve them. AI arrives as capability distributed through that platform rather than as a product line. The Q2 2026 release, announced 7 July 2026, introduced an Origami AI Tile allowing AI powered actions to be embedded into workflows through drag and drop composition, alongside a next generation administration console, no code tools for visually designing, managing, monitoring and deploying workflows, and a Marketplace for discovering integrations, partner solutions and workflow accelerators. Origami AI Analytics performs analysis inside the risk management information system to surface trends from real time reporting, and an AI assisted data center handles validation and transformation. The most substantive insurance specific AI work is Insurance Program Management, announced 15 June 2026 and delivered inside the risk management information system as an end to end system of record for policies, placements, quotes, endorsements and program analytics. Its central claim is extraction: bringing policy information out of portable documents, spreadsheets and broker systems into structured usable form, then connecting it to claims, exposure and total cost of risk data. The company positions this as removing both manual data entry and the need for what it describes as expensive third party vendors. Public positioning on AI is short and control oriented, describing it as private, configurable and secure, with the customer staying in control. Independent recognition includes leader placement in a 2025 sustainability software quadrant and market leading placement in a 2026 independent report on risk management information systems, which cites scalable architecture, breadth across claims, risk, policy and safety, and continued investment in analytics, automation and AI. Founded in 2009 by industry veterans and headquartered in Chicago, Illinois, the company has grown to roughly 900 to 965 employees serving more than 1,000 organizations globally. It is privately held, with Spectrum Equity its only outside investor since March 2018.

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.

Shift Technology is a pure play insurance AI company, with a stated 100 percent focus on the industry since its founding in 2014, and it reaches the market through the core platform most property and casualty insurers already run. Its products are organized around three decisions: detecting fraud in claims, applications and organized rings; automating the claims process from first notice of loss through straight through processing; and catching application fraud before a policy binds. Subrogation recovery, payment integrity and claims document analysis sit alongside them. The company describes combining generative, agentic and predictive approaches, and its current positioning is explicitly agentic. Published agents assess subrogation opportunity and draft the initial demand package, or review a third party insurer's response and guide negotiation. Others assess whether medical billing applies to a claim and estimate treatment duration, or synthesize cross carrier claim history into recommended next actions for a handler. It states it was an early adopter of LLMs in 2020 and has analyzed more than 2.6 billion policies and claims. Scale and validation are strong. The company reports more than 115 insurance customers across 25 countries and more than $5 billion in reported fraud savings. In March 2026 AXA renewed for five years, extending a collaboration begun in 2016 across 15 countries, with that insurer's own transformation executive quoted. Covéa signed as a strategic partner for fraud and risk. An industry body in Australia selected the company with EXL to build a national motor fraud detection platform. The relationship with Guidewire is the structural asset: strategic partner for insurance decisioning, premier technology partner status, an accelerator on that vendor's marketplace, and a direct strategic investment. Underneath, the platform runs on Microsoft Azure AI services, named openly in that provider's own case study. Headquartered in Paris with offices in Boston, Mexico City, Sao Paulo and Tokyo, and $320 million raised.

Snapsheet sells cloud based claims management software to property and casualty carriers, third party administrators, managing general agents and self insured organizations, and it reached that position from an unusual starting point. The company began under a different name and built its reputation on virtual appraisals, assessing vehicle damage from photographs submitted by claimants rather than sending an inspector, an approach it staffed in its early years with remote human appraisers reviewing images. That franchise became the foundation for a full claims platform covering first notice of loss through settlement, including digital communications with claimants, workload management for adjusters, configurable workflows, reporting, and digital payments and disbursement at the point of settlement. Appraisal coverage extends beyond passenger vehicles to boats, recreational vehicles, motorcycles, utility and exotic vehicles, and the platform handles property and commercial claims alongside auto. Snapsheet AI is the current AI layer, and its design is explicit about where control sits. Agents are configured at the prompt level in plain language, with the carrier creating the persona, designating which context and data the agent may use, directing the actions it takes and defining the output it returns. Pre configured agents ship for summarization, scoring, intake, liability checks, communications and claim evaluation. Agents run in two modes: triggered automatically inside event based workflows, or initiated on demand by an adjuster in a side panel copilot. The company positions this against assistants that sit apart from the work, arguing that AI stranded in a side panel cannot have an effect, and that its agents operate with immediate context of the data, rules, permissions and logic already configured in the claims system. Integration is built on open interfaces, no code automation and a partner network the company sizes at more than 140, including carriers, third party administrators, managing general agents and insurtechs. A joint platform with the core system vendor Socotra combines policy and claims stacks, and a partnership with Floatbot covers conversational agents. Published volume figures are dated but substantial: more than 4.3 million claims managed and $15.3 billion of indemnity processed as of a 2023 report, alongside more than 25 million automated tasks executed. IAT Insurance Group is among named customers. A Trust Center and privacy policy are published on the company's own site. Founded in 2011 by Brad Weisberg and headquartered in Chicago, Illinois, privately held, with a reported workforce above 400 as of its most recent public staffing account.