Insurance AI
O

Outmarket AI

Outmarket AI automates the document work that fills a commercial insurance brokerage, connecting into the agency management system of record and reading carrier quotes, policies, applications and loss runs to produce comparisons, coverage gap analyses, policy checks confirming that what was bound matches what was applied for, proposals and appeal packages. A commercial insurance knowledge graph supports carrier appetite matching in natural language, and the platform spans commercial, benefits, personal and specialty lines for retail brokers, managing general agents, wholesalers and carriers.

Last VerifiedAugust 8, 2026
Compare Outmarket AI with other vendors
Founded
2025
Headquarters
San Francisco, California, United States
Website
outmarket.ai
Categories
insurance-ai
Assessment

Capability Axes

AI Capability
AI Centrality
A
Vendor Published

Every workflow the platform sells is a judgement about unstructured documents. Normalising carrier quotes that share no common format, reading loss runs, identifying missing or inadequate coverage, and confirming that a bound policy matches what was applied for are all inference tasks that resist rules because the source documents are inconsistent by nature. Apply the removal test and what remains is a set of connectors into an agency management system and a document store, with none of the analysis that constitutes the product.

Autonomy and Oversight Model
B
Vendor Published

Output is drafted for a professional to approve rather than issued autonomously. Reviews are described as AI assisted, generated documents are personalised to agency knowledge and carrier guidelines, and the stated aim is that every document leaving the agency upholds its standards, which presumes a producer or account manager signs it. Role based access controls separate who can do what.

Less described is the mechanism: no confidence indication on an extracted value, no exception queue for a document the system could not read cleanly, and no approval gate specified before a proposal reaches a client.

Model Risk Management and Transparency
C
Vendor Published

The central number is missing and its absence is pointed, because this product is sold on reducing errors and omissions and publishes no error rate of its own. Extraction and comparison accuracy determine whether an automated policy check prevents a claim or causes one, and a broker relying on the system to confirm that bound cover matches the application has substituted an unmeasured process for a manual one. No accuracy figures, evaluation methodology, model documentation or support for customer validation were located.

Operational and Outcome Evidence
B
Vendor Published

Adoption is strong for a platform launched in 2025, stated at more than 250 brokerages globally with recurring revenue reported at five times year on year, and two customers are named with executives quoted on the record, a group chief financial officer and an agency president. Outcome claims are specific: twelve to fifteen hours saved per person weekly, processing time from submission to binding down 80 percent, and errors and omissions exposure reduced by up to 65 percent. Strategic investment from agency networks and brokerage owners means buyers backed it with capital. The aggregate framing of saving a decade of manual work each month carries no stated methodology.

AI Safety and Data Stewardship
B
Vendor Published

The data boundary statement is the most complete phrasing encountered in this index. Where peers say they do not train on customer data, Outmarket forecloses three routes at once, stating it does not use customer data to train, fine tune or improve the underlying models, which closes the gap that a narrower wording leaves open. Single tenant isolation reinforces it architecturally.

What is not addressed is the other half of stewardship: no evaluation of extraction or comparison accuracy, no adversarial testing description, and no account of how the knowledge graph behind carrier appetite matching is maintained or corrected.

Regulatory and Compliance
GLBA and Data Privacy Posture
A
Vendor Published

The first top grade on this axis in the index, and it rests on four concrete controls stated publicly rather than on a policy document. Architecture is single tenant, so a customer's data sits on isolated infrastructure rather than in a shared store, which is stronger separation than any multi tenant peer here offers. Data retention is zero. A service organisation control type two attestation is named.

Infrastructure is described as ready for the health information regime, which matters because benefits brokerage handles medical data. Encryption and role based access support it. What is still absent is a subprocessor list, a residency statement and a formal privacy notice for the platform.

Security Certifications and Trust Center
B
Vendor Published

Assurance is stated in specifics rather than assertions, naming a service organisation control type two certification alongside health information regime readiness, single tenant architecture, zero retention, encryption in all states and role based access with authentication controls. Naming the standard is what separates this from vendors claiming to maintain unspecified certifications. What is absent is the surrounding surface: no trust centre, no report request path, no audit period or scope, and no second framework such as an international information security standard.

Regulatory Status and Licensure
B
Vendor Published

Outmarket supplies software and holds no licence, while its customers do: brokers are state licensed and owe professional duties to the clients they place cover for, which is why errors and omissions exposure is the product's central commercial argument. Domain grounding is evident in the vocabulary, with loss runs, binding, policy checking and appetite matching named as the artifacts they are. Health information readiness is claimed for benefits work. No supervisory instrument is named as a design target, and no formal admission process has been passed.

AI Governance and Bias Disclosure
C
Vendor Published

The subjects here are risks and policies rather than people, so demographic fairness is not the live frame, and two other governance questions take its place. Accuracy is one: a missed coverage gap or a wrong policy check produces exactly the professional liability the platform promises to reduce.

Placement steering is the other and is unexamined, since carrier appetite matching recommends where a broker should place a risk, and nothing public describes how those recommendations are derived, whether carrier relationships influence them, or how a broker would evidence that a placement recommendation served the client rather than the algorithm.

AI Liability and Recourse
C
Vendor Published

The tension here is worth stating plainly: this platform is sold on reducing professional liability and assumes none itself. Errors and omissions reduction of up to 65 percent is the headline benefit, and nothing published says what happens when an automated policy check misses a discrepancy and a claim is denied on cover the broker believed was bound.

Human approval before a document leaves the agency is the only mechanism, which places the licensed broker back in the liability chain where they always were. No guarantee, indemnity, accuracy commitment or remediation term was located.

Integration and Deployment
Model Supply Chain Disclosure
B
Vendor Published

Two disclosures do real work and one phrase gives the game away usefully. Customer data is stated not to train, fine tune or improve the underlying models, and single tenant architecture isolates the customer's side of the chain, so a buyer knows what does not flow outward.

The reference to underlying models is itself an acknowledgement that third party foundation models sit in the stack, and none is named, nor is any subprocessor list published, so the buyer knows their data is not used for training without knowing whose infrastructure processes it.

Core Systems and Integration Depth
A
Vendor Published

The integrations are the ones that actually matter in this industry and they are named individually. Four major agency management systems are supported, which is the equivalent of core banking integration for a brokerage because the agency management system is the system of record for every policy, client and transaction, and connecting to it is the hard part that determines whether a workflow product is usable at all. Document sources extend to the mail, file and storage platforms brokerages run day to day, so material reaches a workflow wherever it already sits.

Deployment Model and Data Residency
B
Vendor Published

Single tenant architecture is a genuine deployment disclosure rather than a marketing line, since dedicated infrastructure per customer changes the isolation, blast radius and exit characteristics of the arrangement, and no other cloud vendor assessed in this index offers it. Combined with zero retention it tells a buyer a great deal about where their documents are not. What it does not tell them is where those documents are: no hosting regions, in country residency options, transfer mechanisms or subprocessor locations were located.

Commercial
Commercial Transparency
C
Vendor Published

No rates, tiers, billing unit or minimum were located. The buyer here is often an independent agency with a small operating budget and a headcount cost it knows precisely, and the entire value argument is hours returned per person per week, so a published seat price would let that arithmetic be run before a sales conversation rather than during one.

Institution and Segment Coverage
B
Vendor Published

Coverage runs the length of the insurance distribution chain rather than sitting at one point on it, addressing retail brokerages and agencies, managing general agents, wholesalers and carriers, and spanning commercial, benefits, personal and specialty lines with workflows written for each. That is real breadth inside the vertical. The vertical is also the boundary: nothing addresses banking, lending, payments, wealth or capital markets, so this is an insurance distribution platform rather than a financial services one.

Commercial

Pricing

Vendor-published figures are labeled as such. Figures labeled “Estimated” are derived from third-party sources and have not been confirmed by the vendor.

No pricing data has been verified for this vendor. Pricing information will be published here once confirmed through vendor disclosure or third-party estimation.

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Index Status
Last index update
August 8, 2026
The AI FinTech Index is an editorial reference, not a regulatory body. Vendor data is verified against published sources and public regulatory filings. Figures labeled “Estimated” have not been confirmed by the vendor. See the Methodology page for evaluation standards and limitations.
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