For homeowners, renters & their insurers

One phone scan. An insurer-ready contents inventory.

RakuAI Capture turns a 60–90 second phone scan of a room into an itemized list of its contents — with approximate measurements and estimated replacement values — that you can hand to your insurance company. Built for the three moments people actually need it: filing a claim, planning a move, and downsizing. Same 3D Gaussian-splat reconstruction and MCP core as the rest of RakuAI — no new engine.

This page is honest about what ships today versus what's on the roadmap. We document a space and produce a structured inventory; we are not an insurer and we do not set policy terms or settle claims.

Member of

Three moments people need this.

We deliberately ceded real-estate listing capture to the incumbents (Matterport and friends). This is the consumer-facing wedge nobody owns: a self-serve scan that produces a structured contents inventory for the moments an inventory actually matters.

Claims

After a loss — fire, theft, water, storm — reconstructing what you owned from memory is painful and disputes are common. A scan taken at onboarding or renewal gives you a timestamped, itemized record before anything happens. Filing becomes "submit the inventory" instead of "remember everything you lost."

Moves

Movers, valuation coverage, and transit insurance all want a contents list. One scan per room produces an itemized manifest with rough dimensions — useful for movers' quotes and for documenting condition before and after the truck.

Downsizing

Clearing out a home — an estate, a parent moving into assisted living, a kid leaving for college — means deciding what to keep, sell, donate, or insure. A scan gives the whole family one shared, itemized view of what's in the room.

How one scan becomes an inventory.

It's the same Raku Capture pipeline used across the rest of the product — scan, reconstruct, query. Insurance is a wrapper on output, not a new engine.

Scan the room

Walk a slow loop with your phone, 60–90 seconds, guided on-screen. No special hardware.

Reconstruct

Frames + motion are reconstructed in the cloud into a 3D Gaussian splat — an explorable model of the space.

Itemize

An LLM walks the scene over the MCP surface and lists the visible objects, with approximate measurements per item.

Review & export

You edit the list, confirm values, and export a clean inventory you can hand to your carrier. Every value is labelled an estimate.

What the output looks like.

An illustrative single-room inventory. Real output is generated from your scan and is fully editable before you submit it to anyone.

Item	Approx. size	Est. replacement
3-seat sofa	210 × 90 cm	$1,200
55″ television	123 × 71 cm	$650
Coffee table	110 × 60 cm	$240
Bookshelf (filled)	80 × 200 cm	$380
Area rug	200 × 290 cm	$320
Estimated room total	—	$2,790

Every figure above is an estimate, not an appraisal. Object recognition and value estimation are imperfect — you review and correct the list before it goes anywhere. RakuAI does not set your coverage, determine claim payouts, or guarantee replacement cost; your insurer does.

Why RakuAI for this, specifically.

The capture market is crowded, but the consumer self-serve scan → structured inventory pipeline is wide open.

Approach	Strength	Gap for contents inventory
Phone-photo list (DIY / email)	Free, everyone can do it	No measurements, no structure, easy to lose, painful to reconstruct after a loss
Adjuster visit	Authoritative	Loaded cost roughly $200–$500 per visit; only happens after a claim is filed
Matterport-style 3D walkthrough	High-fidelity capture	Built for real-estate listings — no itemized contents output, no carrier-friendly export
RakuAI Capture	Self-serve phone scan, splat fidelity, LLM-driven itemization over MCP	Honest framing: values are estimates, and the formal carrier-export format is still being built

What's real today, and what isn't.

We would rather under-promise. Here is the current line between shipping and roadmap.

Shipping today

Phone-based capture and cloud splat reconstruction (the Raku Capture flow).
Scene query over the MCP surface — an LLM can walk the reconstructed room and describe what's in it.
Multi-LLM support: Claude, ChatGPT, Gemini, and Copilot can all drive the runtime.

In flight / roadmap

A polished, one-page insurer-ready export (room thumbnail + itemized table + totals + scan metadata). The underlying data exists today; the formatted document is being built.
Carrier-specific inventory templates — handled as per-pilot work, since there is no single industry-standard format.
Per-scan metering and a consumer change-tracking tier (re-scan annually, see a diff).

What we don't have yet

SOC 2 certification. Large carriers require it before procurement; we run early pilots with InsurTechs while that readiness work proceeds in parallel.
Any signed carrier partnership. We do not claim endorsement by any insurer.
Appraisal authority. We document and estimate; we do not value or settle.

For carriers and InsurTechs.

The carrier story is loss-adjustment expense and cycle time: a self-serve scan at onboarding or renewal means fewer adjuster touchpoints later. Three concrete ways to engage.

1. Capability inquiry

You're evaluating a contents-capture layer and want a written response on how RakuAI maps to your product, your preferred inventory format, and your onboarding flow. Tell us your constraints; we'll reply with what's real today and what we'd build for a pilot.

partnerships@rakuai.com →

2. Free 90-day pilot

One partner per quarter. We integrate the scan flow into your onboarding (white-label or sidecar web app), collect roughly 100 customer scans, and co-publish a case study. We don't charge for the pilot; we ask for UX-team access and permission to publish.

Discuss a pilot →

Early pilots run on RakuAI cloud with a carrier review portal until SOC 2 lands.

3. InsurTech integration

You already own claims orchestration, aerial/exterior data, or auto damage assessment — and have no interior contents story. We can be the capture-and-itemize layer you resell under your brand via API.

Explore an integration →

Go deeper before you scan or write.

The pages most people read next.

Raku Capture →

The consumer scan flow this is built on — scan a space, then talk to it.

MCP Server →

The MCP surface that lets an LLM walk a scene and itemize what's in it. Production since March 2026.

Spatial Engine →

The C++ runtime under the splat reconstruction — the same core, no new engine for insurance.

Privacy →

Scanning a home is sensitive. How capture data is handled, and how to delete a scan.

RakuAI is an NVIDIA Inception member. The same NVIDIA-accelerated 3D Gaussian splatting stack we ship in Raku Capture is what reconstructs the room and powers the contents itemization described above. Read more →

NVIDIA Inception is a free program for AI startups; RakuAI's membership does not imply that NVIDIA endorses RakuAI's products. Learn more at nvidia.com/startups.