CoverVector turns enterprise AI usage into underwriting-grade evidence for assessment, placement, renewal, and carrier evaluation.
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Investor Overview
CoverVector
Underwriting infrastructure for AI risk.
The reference layer for AI risk. Used by companies, brokers, and carriers.
CoverVector turns enterprise AI usage into underwriting-grade evidence, giving companies a clearer view of exposure, and giving insurance markets the inputs to evaluate, place, and insure AI risk.
AI exposure is scaling faster than insurance can evaluate it.
Enterprise AI adoption
Insurance-ready AI risk record
The missing layer is a repeatable insurance input: structured evidence, comparable scoring, and a shared language for AI exposure. Companies struggle to prove controls. Brokers lack a cleaner submission story. Carriers get uneven inputs and price uncertainty.
Market opportunity
AI-Risk Insurance: $50B+ TAM by 2030.
Source: Swiss Re Sigma 3/2025 · Aon · Marsh · Lockton · ISO CG 40 47/48 · CoverVector model.
In conversation
Where the pressure is already building across AI adoption, coverage uncertainty, and underwriting readiness, and why this is becoming urgent now.
CoverVector
THE COMPANY
What we built
VectorIQ is live: a patent-pending engine that turns enterprise AI usage into underwriting-grade evidence, mapped to 15+ commercial policy lines. One shared dossier across companies, brokers, and carriers. Every conclusion traceable to source.
Traction
Top 10 global broker paid pilot in motion across placement, renewal, and prospecting/advisory workflows. Specialty broker LOI. Two specialty carrier LOIs. Active dialogue across brokers, carriers, and enterprises, sourced entirely through the founder network.
Go to market
Brokers license CoverVector to prospect, place, and renew AI-exposed accounts, the distribution wedge. Companies use CoverVector to improve insurability. Carriers license VectorIQ for consistent underwriting review. Platform licensing across brokers and carriers is the core revenue driver, and over time CoverVector becomes the shared reference layer for assessing AI risk and transferring it efficiently.
Founder
Neeren Chauhan. Engineer. Built AI inside Tokio Marine, led underwriting innovation at Zurich, and distribution at Allstate. First-hand view of where AI risk stalls companies internally and how lack of a consistent record hampers efficient risk transfer. Insurance operator + AI builder, the combination this category requires.
In conversation
What we're learning from early market engagement across carriers, brokers, and enterprises, where the strongest pull is coming from, and who pays first.
VectorIQ · Patent Pending
The actuarial-grade standard for evaluating AI risk.
AI risk is embedded in decisions, operations, controls, and third-party dependencies. Most approaches stop at policy, governance, or model-level review. VectorIQ breaks it into four modules: exposure, evidence, a risk score, and insurance translation.
Exposure
AI use cases, vendors, autonomy, and decision impact across the business.
Evidence
Every input graded — verified, declared, inferred, missing, or stale — with confidence tied to source quality.
Risk Score
Five weighted dimensions plus a confidence band. Every conclusion traceable to source.
Insurance Translation
Claims scenarios, policy lines, exclusions, and conditions, structured for carrier review and renewal.
How VectorIQ turns messy AI usage into traceable underwriting signal: what is exposed, what evidence supports it, which policy lines are implicated, and what a carrier can actually review.
The Business
Broker-led distribution opens AI-exposed accounts. Platform licensing is the core revenue driver.
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Broker Licensing
Brokers license CoverVector to open AI-risk conversations with prospects and clients, assess insurability, and turn that exposure into carrier-ready evidence for placement and renewal. This is the distribution wedge.
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Company Assessments
Enterprises pay to understand AI exposure, strengthen insurability, and prepare for risk-transfer and placement. The output seeds the shared evidence base.
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Carrier Licensing
Carriers license VectorIQ to evaluate AI risk more consistently across underwriting, exclusions, conditions, and renewals. More reviewed accounts compound the proprietary evidence base.
Now
Engine live. Patent pending. Top 10 global broker paid pilot. Specialty broker LOI. Two specialty carrier LOIs.
6 to 12 months
Paid pilot execution. Repeatable company assessments. Broker workflow validation. First carrier underwriting-review workflows.
12 to 18 months
Licensing expansion. More reviewed accounts, richer evidence records, and a repeatable underwriting evidence standard.
In conversation
How this gets to first revenue, the path to first $1M in repeatable revenue, and how the data moat compounds.
CoverVector
AI Risk Infrastructure · Underwriting-Grade Evidence
Confidence to scale AI. Clarity to insure it.
Opening a focused seed round to productize VectorIQ, execute paid pilots, and turn early broker and carrier pull into repeatable deployments across AI-risk assessment, placement, and underwriting.
Let us show you how VectorIQ turns enterprise AI usage into an evidence trail, policy-line map, risk score, and carrier-ready dossier.
A live VectorIQ walkthrough, the seed round, the milestones it funds, and how CoverVector turns early broker and carrier pull into a repeatable AI-risk infrastructure business.
CONFIDENTIAL. VectorIQ scoring methodology, data architecture, and risk models are proprietary to CoverVector, Inc. Patent pending. Distribution by unique link only. Do not forward or reproduce.