Insurance AI
S

Swallow

Swallow is a London based insurance pricing platform that separates pricing models from application code. The workbench covers data import and versioning, a visual model builder needing no code, automated scenario and impact testing, governance with approvals and audit trails, and instant publishing of any model as a live rating interface, an embeddable quote form, a chatbot or a voice agent. Herbie, the AI actuary inside the platform, turns a prompt into a tested and deployable pricing model, generates test suites, writes compliance reports and version summaries, and answers product questions.

A second line at serff.ai indexes United States rate filings at scale, extracts the rating logic inside them, and turns an approved filing into a working rater carrying base rates, factor tables, class plan, territory definitions, discounts, surcharges and minimum premium rules, then generates the filing artefact set for a credentialed actuary to certify. Market Pricing Analytics runs any risk through other carriers' reconstructed rating plans, built from filed rates rather than sampled quotes.

The platform is state aware for United States filings, distinguishing file and use from prior approval states and handling premium taxes, minimum premium rules, residual market assessments and state specific rating restrictions. Named customers include Open, Rivr, MGT Insurance, Ouch and ISC, with the largest serving more than three million quotes a month and the largest by revenue above one billion dollars a year. Founded in 2022 by Callum Rimmer, co founder of the usage based motor insurer By Miles, with Sam Clifton and Josh Overton, on pre seed funding co led by Connect Ventures and Jigsaw VC. Named in the InsurTech100 for 2024. Pricing starts at 2,500 pounds a month and scales on quote volume and gross written premium, with a discounted plan for insurers under 10 million pounds of premium.

Last VerifiedAugust 20, 2026
Compare Swallow with other vendors
Founded
2022
Headquarters
London, United Kingdom
Website
www.swallow.app
Categories
insurance-ai
Assessment

Capability Axes

Capability grades

15 of 15 axes rated · 8 graded A or B

AI Capability
AI Centrality
BB on AI CentralityThe models are the engine of a core capability, layered on a product that would still function without them as a rules or workflow system.
Vendor Published

Two shipped lines where models carry the throughput: Herbie, described as the AI actuary inside the platform, builds a tested and deployable pricing model from a prompt and generates up to a hundred test cases from an instruction; and the filings line makes twenty five years of United States rate filings executable, extracting rating logic from documents rather than summarising them. Held at B rather than A because the residue test is unusually clean here.

The company sold the platform for roughly two years before the AI line existed, so a deterministic pricing engine, visual builder, test harness, approval workflow and rating interface all remain if the models are removed. That makes Swallow the pocket's clearest natural experiment on centrality, since the same product demonstrably worked without any of it.

Autonomy and Oversight Model
BB on Autonomy and Oversight ModelA written commitment that the models work alongside human judgment, with real review surfaces, short of the full control structure: commonly the threshold at which the system stops or what happens after it is wrong.
Vendor Published

This vendor holds the pocket's best specified human gate and its least supervised autonomous action, in the same product. The filing path meets the A bar on its own terms: a credentialed actuary, the customer's own or a partner, reviews, certifies and manages regulator objection responses, with the split quantified at eighty to ninety percent of artefacts generated automatically and professional judgement retained for the rest.

That names and staffs an adjudication layer, places it in the path, and ties the reviewer to an external professional credential, which is stronger than the idenfy precedent. Against it: the distribution path contains the most autonomous consumer facing action in this pocket, a voice agent that runs renewal campaigns at scale, generates updated quotes in real time and is described as negotiating live, with no threshold, review structure or escalation route published.

Deployment gates are real though (test suites that run automatically on any change, approvals, one click rollback with an audit record of who changed what and why). The general lesson is that oversight is a property of a path rather than of a vendor, and this record should be read that way.

Model Risk Management and Transparency
BB on Model Risk Management and TransparencyReal transparency mechanisms are published, such as per alert explainability, confidence scoring or split testing, without the validation package or supervisory mapping behind them.
Vendor Published

Strong on pricing model governance, silent on the AI layer, and the split is the point. Published: a versioned interface created on every publish with previous versions staying live and callable, one click rollback with an audit record of who changed what and why, scenario and pivot testing, impact testing before production, what if analysis and back testing on historical data, and controlled experiments routing a share of quotes between model versions.

Better specified than the WTW versioning disclosure that earned the same grade. Held off A on the standing extraction question, which is central here rather than incidental: the filings product reads rating logic out of documents and a wrongly extracted factor table propagates silently into every quote.

Reconciled example calculations are offered against a filing's own worked examples, which is the closest thing to an accuracy control in this pocket, but no tolerance, pass rate, failure handling or human review rate is published, and nothing describes the models behind Herbie.

Operational and Outcome Evidence
AA on Operational and Outcome EvidenceNamed customers with hard performance figures and enough method to test them.
Vendor Published

Five named customers (Open, Rivr, MGT Insurance, Ouch, ISC) with two full case studies carrying outcomes: Rivr launched complex life products in weeks rather than months, quoted by founder and chief executive Will Clarkson Webb, and Open brought a premium United Kingdom home insurance product to market in under a week. Named customer plus quantified outcome plus a named executive on the record is the A bar as written, and it is met.

Recorded so it is not relitigated: the scale claims are stronger than the attributed ones but sit apart from them, since the customer serving three million quotes a month and the client above one billion dollars of revenue are not identified. That is the familiar shape where the two halves never join, and it caps how much the scale claims can carry on their own.

AI Safety and Data Stewardship
CC on AI Safety and Data StewardshipGeneral assurances that do not answer the question this axis asks, which is whether one customer’s data trains models serving its competitors. Unbounded cross client learning stated with no boundary grades here too.
Vendor Published

Nothing published on whether customer quote data, pricing models or uploaded workbooks train anything. The claim shape is the unfalsifiable absolute and this is the sharpest instance yet catalogued, because the acknowledgement and the absolute sit on the same page: one answer states that AI can hallucinate quote questions, quote prices and the rules around quotes, and another states that the vendor's own channels handle new quotes, amendments and recall via AI without hallucination.

A vendor naming the risk and then exempting itself from it in the same document is a better example than a bare zero hallucination claim. Positive counterweight worth keeping: the market analytics product achieves peer comparison from filings that are public by law, so it delivers what pooled benchmarking delivers elsewhere without holding any competitor's confidential data. That is the first clean counterexample in the pooled corpus ladder, and the mechanism is a public transparency regime making confidential pooling unnecessary.

Regulatory and Compliance
GLBA and Data Privacy Posture
CC on GLBA and Data Privacy PostureA standard privacy policy that covers the website rather than the service, or silence on a product that touches limited consumer data.
Vendor Published

States that the platform is built with regimes such as the European data protection regulation in mind and that data can be exported, deleted or audited at any time, plus registration with the United Kingdom data protection regulator and a published privacy policy.

Held at C because built with a regime in mind is the gesture this index credits nowhere, the export and delete capability is a product feature rather than a commitment about the vendor's own processing, and there is no position at all on the United States financial privacy regime despite a product line built specifically for United States carriers. No data processing agreement, subprocessor list or statement about what the vendor does with quote data.

Security Certifications and Trust Center
BB on Security Certifications and Trust CenterA recognised certification named in the vendor’s own material without the artefact, or with a scope or renewal question the buyer has to raise.
Vendor Published

Certified to the international information security management standard, stated plainly in a support answer, alongside encryption in transit and at rest, role based permissions, audit logs and complete version history. Registered with the United Kingdom data protection regulator. The presentation is the catalogued failure though: the footer badge reads only certified with no numbered standard, which is the imprecision shape, and the numbered claim appears solely in a buried support answer.

This is the identomat pattern repeating exactly, where a real certification held by the company is absent from the badge row that exists to advertise it. Held off A: no trust portal, no certificate link, no scope or audit period stated, and no service organisation control report of any kind for a vendor whose output feeds premium calculations.

Regulatory Status and Licensure
CC on Regulatory Status and LicensureThe regulatory position is unstated. Most vendors in this index are technology suppliers and being unlicensed is the correct posture, so this grade records silence about the posture, not a missing licence.
Vendor Published

Unlicensed and unsupervised. The interesting shape is how close it operates to the machinery without being inside it: the product indexes the filing portal every carrier uses, generates the actuarial memorandum, rate manual, exhibits and rule pages, answers regulator objections, and encodes state specific rating restrictions, yet the party answerable to the supervisor remains the carrier and the certifying actuary.

Compliance guidance across three regions is a product feature, not standing. Direct contrast within this pocket: a company a fraction of the size of the incumbents holds a regulatory A because state supervisors examined and approved its models, while this vendor writes filings for a living and has never been through that door itself.

AI Governance and Bias Disclosure
CC on AI Governance and Bias DisclosureResponsible artificial intelligence committed to in policy language with no evaluation behind it, on a product whose bias surface is modest.
Vendor Published

No fairness testing, no protected class position, no governance disclosure of any kind. This is the third vendor in the pocket selling price optimisation with silence beside it, after Earnix and the WTW optimiser, and it is the sharpest of the three on mechanism rather than on scale. The platform routes live customers into controlled pricing experiments and scores the versions on sales, and the voice agent negotiates renewal prices in real time with individual consumers.

Optimising against propensity to accept rather than against risk is exactly the practice consumer fairness rules address, and here it is not an inference from a product name but a described workflow with the success criterion stated.

AI Liability and Recourse
CC on AI Liability and RecourseMechanisms that enable challenge, such as audit trails and source traceability, with nothing standing behind the output and no route for the person affected.
Vendor Published

No recourse route, no allocation of responsibility, nothing published beyond standard terms. The chain here is longer than most and the question follows it: an approved filing is machine extracted into an executable rater, the rater is published as a live interface, a voice agent quotes and negotiates against it, and a consumer is priced.

The certifying actuary signs the filing, not the extraction, and the carrier owns the customer relationship, so a pricing error introduced between the filed document and the live quote has no named owner.

Integration and Deployment
Model Supply Chain Disclosure
CC on Model Supply Chain DisclosureThe architecture is described and no provider is named.
Vendor Published

One supplier is named, and it is the peripheral one: a direct integration with a speech synthesis provider for the voice channel. Nothing names the model doing actuarial work, reading rate filings or generating pricing models, which is where the buyer's exposure sits. Same shape as the frontier agents formulation elsewhere in this pocket, where a quality adjective substitutes for a name. Held at C rather than B on that basis: knowing the voice vendor tells a buyer nothing about the system reading its rate tables, and no model inventory, default or version appears anywhere.

Core Systems and Integration Depth
BB on Core Systems and Integration DepthNamed systems or a documented public API, with the depth or the production evidence left open.
Vendor Published

Deliberately architected as a rating layer that operates independently of policy administration, sold as a way to move pricing out of a legacy core while leaving the core stable. Secure representational state transfer interfaces with a versioned endpoint per publish, webhooks, batch endpoints, software development kits, embeddable forms, chat and voice channels, and exports to Metabase, Redshift, Athena, Snowflake, Google Sheets and Excel. Listed on the Amazon Web Services marketplace.

Published performance envelope: one customer serving more than three million quotes a month, price comparison website volumes at low latency and high concurrency. Third instance of a published performance envelope in this run after Murex and the WTW rating engine. Held off A because no named core system connector exists, unlike the pocket incumbents which integrate with named policy suites.

Deployment Model and Data Residency
CC on Deployment Model and Data ResidencyCloud only with nothing stated, which is the category norm.
Vendor Published

Single tenant software as a service on Amazon Web Services with a public status page and a marketplace listing, custom service level agreements offered to enterprise customers. Nothing published on data residency, region choice, private cloud or customer hosted options, which matters for a vendor selling simultaneously into United Kingdom, European Union and United States insurers whose supervisors take different positions on where policy and quote data may sit.

Commercial
Commercial Transparency
AA on Commercial TransparencyPublished per unit rates a buyer can price against before any conversation.
Vendor Published

The most transparent commercial disclosure in this pocket and one of the better ones in the index. A published entry price of 2,500 pounds a month, a published scaling basis (quotes processed and gross written premium), a published included volume of 100,000 quotes per plan, and a published segment discount for insurers under 10 million pounds of premium.

The filings line publishes its own methodology: priced per state and per product rater with a lower rate on each additional state, per filing for filing assistance with a lighter fee for each additional state and reduced fees for revisions, and annual subscriptions tiered by coverage scope for monitoring and market analytics.

The pocket inversion is worth writing up: the smallest and youngest vendor here is the only one that will tell a buyer what it costs, while the three largest publish nothing. Only softness is the up to fifty percent cheaper comparison, which names no baseline.

Institution and Segment Coverage
AA on Institution and Segment CoverageThe financial segments served are named and each carries its own maintained material, whether the coverage is broad or deliberately narrow.
Vendor Published

Genuinely broad for a company this size. Institution types named: carriers, reinsurers, managing general agents, program managers, captives, risk retention groups, brokers and embedded distribution partners. Geographies: United Kingdom, European Union and United States, with state level awareness for filings.

Lines enumerated at length across personal (private passenger auto, homeowners, dwelling fire, renters, condo, mobile home, umbrella, pet, motorcycle, recreational vehicle, boat, powersports, warranty), commercial (workers compensation, commercial auto, business owners policy, commercial property, general liability, professional liability, directors and officers, cyber, inland marine, equipment breakdown, surety, management liability) and specialty (medical malpractice, trucking, ocean marine, aviation, equine and agricultural, energy and environmental). The platform also states applicability to credit, mortgage, financing, leasing and membership pricing, though no customer outside insurance is named.

Alternatives to Swallow

The closest documented capability profiles to Swallow in the same categories, ordered by similarity across the same fifteen axes the index grades every vendor on. Closest documented profile, not a claim that either product does the same job. No vendor pays for placement.

A lighter documented profile than Swallow

A lighter documented profile than Swallow

Documents AI Safety and Data Stewardship where Swallow does not

A lighter documented profile than Swallow

Documents AI Safety and Data Stewardship and Regulatory Status and Licensure, among others where Swallow does not

Documents AI Governance and Bias Disclosure where Swallow does not

Similarity is computed axis by axis from published grades, not from a composite score. The index does not aggregate grades into a total. See the fifteen axes and the methodology.

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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AI FinTech Index

The AI FinTech Index is an independent index that tracks changes to AI vendors in financial services. It holds 489 vendors across banking, lending, insurance, wealth, capital markets and financial crime compliance, each graded on the same 15 capability axes from public sources. No vendor pays for inclusion, placement, or rating.

Index Status
Last index update
September 5, 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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