ClaiOS × FIG
Partnership Brief · June 2026

Insurance,
reinvented at the source.

Real-time deal data and AI-enforced compliance make real estate E&O insurance cheaper, smarter, and direct, turning a legacy line of coverage into a category-defining opportunity.

claiOS · The AI Deal Platform For the team at FIG
First, what is Clai

The system the deal actually runs on.

claiOS is the AI desk for residential real estate. Agents run the whole transaction inside it, so Clai reads every document, drafts every message, and enforces every requirement as the deal happens.

claiOS / deal / 872-w-47th
Residential Purchase Agreement
872 W 47th St, Austin TX
Buyer
Sarah Chen
Brokerage
Vista Realty
Purchase price
$1,240,000
Close date
Fri · Jun 13
Signed · Compliant
Documents
Drop a contract - Clai reads it
Every clause, date, and disclosure parsed and tracked automatically.
Communication
Every message, AI-guided
Drafted, reviewed, and kept inside compliant bounds before it sends.
Data
Every action, on the record
A live, timestamped audit trail of exactly how the deal was run.
02
Executive Summary

The opportunity in one idea.

Real estate Errors & Omissions insurance is priced for a world where the carrier can't see the deal. Premiums are set on broad averages, claims arrive after the damage is done, and nearly every claim traces back to a documentation, disclosure, or communication failure.

claiOS sits inside the transaction itself. It enforces compliance, guides every agent communication, and streams real-time, structured deal data, so the exact behaviors that cause E&O claims are prevented before they happen, and the carrier finally sees the risk it's pricing.

A Clai-originated book is structurally lower-risk. Together, Clai and FIG can underwrite it for less, pass the savings to agents, and, by going direct, remove a layer of cost on the way to the end user.

The thesis

Better data + AI-enforced compliance = lower losses → lower premiums → a new growth engine.

The same playbook reshaping every legacy industry, replace averages and paperwork with real-time data and AI, applied to a market that has barely been touched.

03
Team & Traction

Built by an operator who has lived this problem.

20 yrs
In residential real estate and e-signature / workflow automation
$5.5M
Raised to build claiOS, the AI Deal Platform

Jonathon Ende, Founder & CEO. Two decades building and scaling products at the intersection of real estate, e-signature, and workflow automation, the exact stack claiOS now reinvents with AI. He has seen first-hand where deals break, where liability hides, and why compliance is the industry's deepest pain point.

Backed by

$5.5M from top-tier investors

RRE Ventures
Stellation Capital
Anton LevyFormer President, General Atlantic

Investors who have backed and built category-defining technology and growth companies.

04
The Problem

Legacy E&O is priced blind and reactive.

E&O is sold on self-reported applications and crude proxies like prior-year commission income. The carrier never sees how a deal is actually run, so it prices the average agent, not the actual risk.

What drives nearly every claim

  • Failure to disclose known property defects
  • Misrepresentation, square footage, value, flooding
  • Missed deadlines, inspections, contingencies
  • Deposit & escrow handling errors
  • Incomplete or incorrect closing documents

Why pricing stays high

  • No visibility into how the deal was conducted
  • Risk priced on broad averages, not behavior
  • Claims surface months after the mistake
  • No structured audit trail to defend the agent
  • Good operators subsidize careless ones
The punchline

Every common claim is a process failure.

Disclosure, deadlines, paperwork, communication, not bad luck. Exactly the things software can enforce and prove.

05
How claiOS lowers loss frequency · 01

Compliance, enforced, not suggested.

Required disclosures, signatures, and forms are checked in real time. A deal can't progress out of compliance, removing the single largest source of claims at the moment it would occur.

closing checklist · 872 w 47th
Buyer identity verifiedDone
Agency disclosure signedDone
Lead-based paint disclosureResolving…
Financing contingency dates setResolving…
Deal blocked - 2 requirements incomplete Cleared to proceed, fully compliant
  • Nothing advances until it's actually complete
  • The #1 driver of claims is removed at the source
  • No after-the-fact audit, the deal is correct by construction
06
How claiOS lowers loss frequency · 02

Communication, compliant by default.

AI reviews every agent message before it sends, flagging misrepresentation and risky promises, and keeping each answer inside compliant bounds.

new message · to buyer
To: Sarah Chen  ·  Re: 872 W 47th St, your questions
Hi Sarah, great news. I guarantee this home will appraise above asking, and you'll have zero issues with the foundation. Let's get the offer in today.
Flagged before send. Unverifiable guarantee + an undisclosed defect claim, classic E&O exposure.
Clai suggests
"Hi Sarah, here's the comp analysis for your review. I'd recommend an inspection so we have a full picture of the property before we finalize the offer."
  • Risky promises caught before they're sent
  • Misrepresentation never reaches the buyer
  • Every agent communicates like the best agent
07
How claiOS lowers loss frequency · 03

The carrier can finally see.

Every action is timestamped and structured into a live data stream and complete audit trail, enabling precise underwriting, and a strong defense if a claim ever arises.

deal audit trail · live
09:14:02Listing imported - 872 W 47th St, Austin TXcontract parsed · 41 fields extracted
09:21:47Agency disclosure sent → signed by buyere-signature · identity verified
10:02:11Outbound email flagged by AI, rephrased before sendguardrail · misrepresentation risk removed
11:30:55Lead-paint disclosure completed, compliance check passedrequirement · 12/12 complete
14:08:30Contract executed, all parties signeddeal closed · clean
14:08:31Immutable record sealed → streamed to FIGstructured risk data · underwriting-ready
  • Underwrite on real behavior, not self-reported averages
  • Price the actual deal - dynamically
  • A complete record defends the agent if a claim arises

Lower claim frequency and lower severity.

Better evidence on every file → a measurably lower-risk book FIG can price accordingly.

08
The Market

Large, recurring, and barely modernized.

~2M
Licensed U.S. real estate agents, nearly all required to carry E&O
~4.1M
Existing-home sales in 2025, every one a compliance & liability event
$1.6T+
Annual residential transaction volume (≈4.1M sales × ~$400K median)
$1B+
Estimated annual U.S. real estate E&O premium pool (agent + firm)*

What agents pay today

Individual agent E&O averages roughly $665/year (~$55/mo), with policies commonly ranging $100–$500+. Firm-wide policies scale with revenue, from ~$600–$2,000 for a new brokerage to $15,000–$30,000+ at ~$10M GCI. Pricing is driven largely by commission income, not by how cleanly deals are actually run.

Why now

The buyer is already required to spend.

E&O isn't a new product we have to sell, it's a mandatory, recurring cost. We make it cheaper and smarter for a captive base already running deals on claiOS.

*Internal estimate from public per-agent and firm pricing ranges, not an official market-size report; to be validated with FIG's actuarial data.
09
The Model · Distribution

How we reach 25,000 agents in 18 months.

We don't need to sign tens of thousands of brokerages. A base of mostly mid-sized shops, anchored by a handful of enterprise signings, gets us to scale fast.

The volume engine
500
brokerages
×
30
agents each
=
15,000
agents
60% of the goal
The anchors
10
brokerages
×
1,000+
agents each
=
10,000
agents
40% of the goal
The target
25,000 agents

From just ~510 brokerage signings, a focused, achievable enterprise sales motion.

Illustrative mix. The point: scale comes from a manageable number of brokerage relationships, not millions of individual sign-ups.
10
The Model · Gross Written Premium

From agents to premium - growing 50% a year.

25,000
agents · within ~18 months
×
~$650
avg E&O premium / agent
=
~$16.3M
GWP · est. within ~24 months
Estimated GWP at 50% annual growth
$16.3M
Yr 1
$24.4M
Yr 2
$36.6M
Yr 3
$54.8M
Yr 4
$82.3M
Yr 5
YearAgentsGWP
Year 125,000$16.3M
Year 237,500$24.4M
Year 356,250$36.6M
Year 484,375$54.8M
Year 5126,563$82.3M
Illustrative model. Assumes ~$650 average annual E&O premium per agent and 50% year-over-year agent growth off the 25,000-agent base. Premium and retention assumptions to be refined with FIG.
11
Why We Win

Two structural advantages incumbents can't copy.

Compliance is built in

Lower losses by design.

Because compliance is enforced inside claiOS, not bolted on afterward - Clai-originated deals make fewer of the mistakes that cause E&O claims. A traditional carrier prices uncertainty; we engineer it down at the source, then price the lower risk. No legacy insurer or broker has this behavioral data.

We sell direct

An extra discount, structurally.

Offered directly through the platform to agents already on claiOS, the product skips the traditional broker / intermediary margin. That saved cost is handed back to the end user as a lower price - a discount competitors selling through legacy channels simply cannot match.

Lower risk + lower distribution cost = a price no incumbent can profitably beat, and a better product at the same time.

12
Value to End Users

Cheaper, simpler, and more protective.

  • Lower premiums, running deals on claiOS represents lower risk and earns lower rates, dynamically.
  • Direct pricing, offered through Clai, bypassing intermediary layers for an additional discount.
  • Built-in protection, compliance enforcement and AI guardrails mean fewer mistakes in the first place.
  • A stronger defense, a complete, timestamped audit trail backs the agent if a claim arises.
  • Zero new workflow, coverage lives where agents already work. No separate application grind.
The compounding loop
Run the deal on claiOS
Compliance enforced · comms guided · data captured
Fewer mistakes → fewer claims
Loss frequency and severity fall
Lower premiums + direct discount
Savings returned to the agent
13
The End-User Experience

Beautiful, AI-native, and instantly cheaper.

  • A beautiful, modern experience, buying E&O feels like the best consumer software, not a legacy insurance form.
  • AI does the work, quotes, paperwork, and renewals handled in minutes inside claiOS.
  • Upload your current policy, our AI reads it, matches coverage, and finds savings of up to 20% automatically.
  • Transparent & instant, see your price, your coverage, and your savings on the spot.
What it means

For a large brokerage, switching to Clai can mean tens of thousands saved every year, plus a lower-risk, fully compliant book.

What "up to 20%" means by brokerage size
BrokerageAnnual E&O spend*Saved at 20%
15 agents$9,750$1,950
30 agents$19,500$3,900
100 agents$65,000$13,000
400 agents$260,000$52,000
*Assumes ~$650 average annual E&O premium per agent. Actual savings vary by state, carrier, coverage, and prior pricing.
14
The Big Opportunity

Re-underwriting a legacy industry with data and AI.

E&O is the wedge. The pattern is the prize: when you own the system of record for a transaction, you can replace averages with real-time risk, compress cost, and improve service at the same time. Insurance is the first of many legacy financial layers attached to every deal.

Wedge
E&O insurance
A mandatory, recurring spend for ~2M agents, cheaper and embedded.
Expand
Title · escrow · warranty
Every adjacent transaction-attached financial product, re-priced on real data.
Become
The risk & data layer
The AI-native infrastructure underneath residential real estate's $1.6T+ of annual deal flow.
15
Why Clai × FIG

Two halves of a better product.

FIG brings the capital, licensing, and underwriting of a foundational new-era insurer. Clai brings distribution, real-time risk data, and the AI that lowers losses. Neither side can build this alone.

 Clai bringsFIG bringsTogether
RiskAI-enforced compliance & comms that cut loss frequencyActuarial & underwriting expertiseA demonstrably lower-risk book, priced on real behavior
DataReal-time, structured deal data & audit trailsPricing models & reservesDynamic, behavior-based premiums
DistributionCaptive base of agents already on claiOSCarrier capacity & paperEmbedded, direct-to-agent coverage
End userLower-risk profile + direct channelLower cost of capitalA cheaper, better product for every agent

Commercial structure, underwriting roles, capital, and economics, to be defined together in follow-on conversations. This brief frames the opportunity, not the terms.

16
The Invitation

Let's build the first AI-native insurance product for real estate.

Clai already owns the transaction. FIG can own the risk. Together we make E&O cheaper for two million agents, and lay the foundation for re-underwriting an entire legacy industry.

JE
Jonathon Ende
Founder & CEO, Clai  ·  je@goclai.com · goclai.com
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ClaiOS × FIG

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