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Yardstick Research tear-sheet / insurance brokerage cohort

Methodology · how we score · rubric weights in plain sight · vendors received this sheet seven days before publication and could flag factual errors, never rankings

Coterie

Identity

Total score: 61.2 / 100

Weighted dim sum: 71.25. Minus 10.0 pricing-transparency penalty (hard: underwriting pricing is actuarially determined per risk, not published; no public commission schedule for agencies).

Dimension scores

Dimension Score Weight Weighted Evidence
AI capability depth 2 / 4 15 7.5 [VENDOR-CLAIMED] AI-assisted underwriting decision for small business risks - Coterie's API uses AI-driven appetite and pricing models to return instant BOP, GL, and professional liability quotes from structured business data inputs. The underwriting AI runs on actuarial models rather than LLM-style generative AI. - https://www.coterieinsurance.com/technology
Workflow integration depth (AMS) 3 / 4 25 18.75 [VENDOR-CLAIMED + THIRD-PARTY] Native integration with Applied Systems, Vertafore, EZLynx, and Bold Penguin - covering the major AMS and commercial quoting aggregator platforms that distribute small business insurance. API-first architecture enables embedded distribution in any platform. Listed as an integration partner by Bold Penguin. - https://www.coterieinsurance.com/integrations
Vertical specialization 4 / 4 20 20.0 [VENDOR-CLAIMED] Exclusively small business commercial insurance: BOP, GL, professional liability. No personal lines, no large commercial, no employee benefits. Deep actuarial and appetite model specialization in the small business segment. - https://www.coterieinsurance.com
Implementation + time-to-value 3 / 4 10 7.5 [VENDOR-CLAIMED] API integration for embedded distribution is well-documented and can be completed by a developer team in days to 2 weeks. Agency direct-access setup via AMS integration is faster. First quotes can be returned within hours of API credentials being issued.
Data + compliance posture 3 / 4 5 3.75 [VENDOR-CLAIMED] State-licensed MGA across 50 states; surplus lines compliance where required. SOC 2 compliance documentation available for agency and platform distribution partners. Actuarial model governance for state filing purposes is part of the MGA compliance infrastructure. - https://www.coterieinsurance.com/about
Pricing + scalability 1 / 4 10 2.5 [UNKNOWN - underwriting pricing is risk-based, not published] Insurance underwriting pricing is actuarially determined per risk and cannot be published as a flat rate. Agency commission schedules are not publicly disclosed. Hard penalty applied for distribution economics opacity, which limits agencies' ability to model profitability before entering the distribution relationship.
Vendor strength + named-customer evidence 3 / 4 15 11.25 [VENDOR-CLAIMED + THIRD-PARTY] Named distribution partners include digital insurance agencies and insurtech distribution platforms. AmTrust Financial Services as a carrier backing adds institutional credibility. G2 presence limited; the product is primarily B2B distribution rather than B2C, so review volumes differ from agency management tools. - https://www.coterieinsurance.com/partners
Base weighted total 100 71.25
Pricing transparency penalty −10.0 Hard: agency commission schedule and underwriting pricing structure not publicly disclosed.
Adjusted score 61.2

Top strength

Embedded distribution speed via API. Coterie's instant quote-and-bind API is the fastest path to adding small business commercial insurance distribution for an agency or platform partner - a developer team can integrate the API in days, return instant BOP/GL quotes to prospective small business clients, and bind policies without human underwriting review for qualifying risks. That speed is the core differentiation from MGA alternatives that require submission forms and 24-72 hour underwriting turnaround.

Top gap

Distribution economics transparency. The hard pricing penalty reflects a genuine friction point for agency distribution partners: an independent agency principal who wants to add Coterie to their small business commercial quoting workflow needs to understand commission rates, binding authority limits, and loss-ratio-based contingency structures before committing. None of that is publicly accessible.

Editorial assessment

Coterie sits in a unique position in the insurance-brokerage cohort: it is not an AMS, not a COI platform, not an AI productivity tool for agents - it is a carrier capacity and embedded distribution platform. The rubric scores it as a vendor that agencies evaluate for integration into their distribution stack, and the scores reflect that lens correctly.

The workflow integration score (3/4) is Coterie's strongest dimension outside vertical specialization: Applied Systems, Vertafore, EZLynx, and Bold Penguin integration means Coterie's small business capacity is accessible from within the AMS and quoting workflows that the cohort's agency buyers use daily. That distribution footprint is the fastest go-to-market for an MGA.

The AI capability score (2/4) reflects an actuarially-grounded rather than LLM-native AI: Coterie's instant underwriting decisions are driven by appetite and pricing models, which is the right AI approach for insurance underwriting but does not reach into the generative or conversational AI surfaces that drive higher scores for Sonant AI or Cara.

Agency buyers should approach Coterie as a distribution capacity addition, not an AMS or analytics platform. The evaluation question is: "Does adding Coterie's small business capacity increase my agency's revenue from small commercial clients who I currently refer out or lose for lack of instant quoting?" - not "Does Coterie replace any part of my existing technology stack?"

Best for

Right-of-reply

Coterie received this tear-sheet seven calendar days before publication of the Yardstick Research 2026 Report, including all measured numbers, sample outputs, and editorial assessment. Coterie was given the opportunity to flag factual errors - incorrect pricing, misquoted feature availability, outdated screenshots, factual misstatement in the editorial assessment. Coterie was not given the opportunity to request a score revision, dispute the rubric or its weights, withdraw from inclusion, negotiate ranking placement, or suggest changes to the editorial assessment beyond factual correction. Where Coterie flagged a factual correction, the correction was applied if verified and noted here; where Coterie disputed scoring, the dispute is recorded in the appendix but the score stands. Silence during the right-of-reply window was treated as no objection.

Sources