HomeSurvey.ai vs Yembo: AI Moving Survey Comparison (2026)

The pricing model shapes the total cost of the relationship more than the headline rate.

HomeSurvey.ai charges as low as $15 per virtual survey with no monthly minimums, no per-seat fees, no setup charges, and no long-term contracts. A company running 100 surveys in March and 40 in January pays exactly what the volume warrants. A slow month produces a smaller bill rather than a contract dispute or an unused tier's worth of committed spend.

Yembo uses subscription pricing. Specific rates are not published on yembo.ai — operators need to request a quote. Most subscription pricing in this category tiers by survey volume or seats, which means your effective unit cost depends on how close you are to the next tier, whether overages are charged, and whether you are consistently running enough volume to justify the tier you've committed to.

Both platforms publish strong accuracy numbers — but the underlying architecture is different.

HomeSurvey.ai detects 2,000+ item types across a comprehensive proprietary taxonomy built to handle the full residential, commercial, and military move spectrum — from standard household goods to specialty edge cases that single-category competitors typically miss. Each detected item includes a label, size classification, visual details, and a direct link to the exact video frame where it was detected — so every item is verifiable during rep review. The 93% accuracy figure is published as the pre-review rate; with dashboard review and voice note corrections, final accuracy is higher.

Volume and weight are assigned from industry-standard reference tables — the same calibrated values professional estimators use on manual surveys — rather than AI-estimated. This distinction matters when a customer asks "how did you get that number": the answer is professional industry data, not a machine guess.

Yembo publishes an 85–95% accuracy range across case studies, and adds 3D property reconstruction that HomeSurvey.ai does not offer. The specific item count and detection phase structure are not published in Yembo's public documentation.

Customers narrate their homes naturally during a walkthrough. "The piano stays, not moving." "This dresser goes to storage." "That couch is being donated." What the platform does with those narrations directly determines how much rep cleanup time is needed before a quote can go out.

HomeSurvey.ai's Voice Notes with Auto Exclude — released March 31, 2026 — transcribes the customer's narration and classifies each statement into one of eight types: GOES (item is shipping), STAYS (not moving), DISPOSE (donated or discarded), GOES_TO_STORAGE, GOES_TO_DESTINATION, INSTRUCTION (special handling), INFO (general context), and blanket statements ("everything in this room stays" — inferred exclusion across the room). The system is alias-aware: "love seat" matches Sofa 2-Seater, "fridge" matches Refrigerator. Each matched voice note is playable directly from the item row in the review dashboard, with video seeking to the corresponding frame. Ambiguous or unmatched notes are flagged for rep review rather than silently discarded.

Partial exclusion is handled gracefully: if a customer has four dining chairs and says "two are staying," the excluded quantity is set to 2 while the total remains 4, so the net shipping count is 2. Blanket exclusions cover inferred items. Auto-excluded items show as Ship 0 and are visually separated in the dashboard.

A voice-note-driven auto-exclusion system at this level of specificity is not publicly documented in Yembo's product materials.

Virtual surveys don't catch everything. Customers forget rooms, skip the garage, don't narrate the attic. Items added at load time — from the shed, the second garage, the spare bedroom — represent billable variance that disappears if there's no systematic way to capture it.

HomeSurvey.ai includes a Move-Day Audit that compares crew video recorded at load time against the original survey inventory. The AI flags items present at load that weren't in the survey and surfaces them for billing review. Customers recover an average of approximately $750 in previously unbilled variance per residential move on audit-enabled jobs — a meaningful P&L line across an annual volume of moves. The audit also works as a dispute backstop: when a customer questions whether an item was listed, the crew video is the timestamped evidence.

Yembo focuses on the pre-move survey. Their AI Workflow Companion (per Yembo's April 2024 blog) is positioned as a pre-move survey and estimate tool. A dedicated move-day variance workflow is not publicly documented as a built-in Yembo feature. Companies using Yembo typically handle move-day variance through a separate process or third-party tool.

After AI processing is complete, HomeSurvey.ai generates an AI Move Summary — released April 2, 2026 — that auto-loads as the first thing a rep sees when opening the review dashboard. It synthesizes the detected inventory, voice notes, and questionnaire answers into a structured crew planning document.

The summary includes a Complexity Score (1–10 gauge: Simple / Moderate / Complex / Very Complex), calculated from total volume, heavy item count, access challenges, specialty items, and crew requirements. The Crew & Duration Playbook shows three crew scenarios (recommended ± 1) with pack hours, load hours, unload hours, total estimated hours, and truck recommendation per scenario. Estimator Tips flag specific risks — access challenges to price for, heavy item concentrations, customer questionnaire requests that need follow-up. Room Summaries provide per-room narrative. All badges and tiles in the summary are clickable and filter the inventory list.

What this means operationally: the 20 minutes of back-of-napkin crew math that used to happen after a survey arrives is replaced by a structured playbook that's ready the moment AI processing completes. A coordinator doesn't need to count 2-man items manually — the summary surfaces that count and flags the risk automatically.

An AI Move Summary with crew scenario planning is not publicly documented in Yembo's product materials.

Military moves have specific compliance requirements that general residential survey workflows don't address — PBP&E classification, OCIE itemization, JTR weight limits, and pro-gear separation. Getting these wrong costs the service member real money (OCIE items grouped rather than itemized forfeits the weight exemption) and creates audit risk.

HomeSurvey.ai detects pro-gear items with M-PRO (member) or S-PRO (spouse) classification. OCIE/TA-50 field gear is itemized as separate line items rather than grouped. Firearms declarations and high-value item flagging above $100/lb are handled automatically. Weight is tracked against JTR regulatory limits — 2,000 lbs for the member, 500 lbs for the spouse — with warnings when approaching either cap.

The Custom Questionnaire supports 12 move types, including military PBP&E, with branching logic so the customer-facing flow asks the right questions for their specific move type rather than a flat residential workflow.

Yembo introduced Split Shipment functionality (per LinkedIn, December 2024) to support military moves. Dedicated PBP&E tagging and JTR compliance documentation at the same level of specificity are not publicly documented in Yembo's product materials.

Both platforms integrate with CRMs. The integration philosophy differs, and the right answer depends on your CRM situation.

HomeSurvey.ai is natively embedded in Movegistics AI — same dashboard, same data pipeline, no integration layer. The inventory from a completed survey flows directly into the Movegistics pricing engine, dispatch module, crew app, invoicing, and reporting. For companies on the Movegistics AI stack, there is no API to configure, no data mapping to maintain, and no integration failure mode to diagnose. HomeSurvey.ai is also available standalone via the go.homesurvey.ai portal for companies on other CRMs — SmartMoving, Salesforce, HubSpot, and 1,000+ apps via Zapier.

Yembo integrates with multiple moving CRMs via API and webhook. This is genuinely valuable if you're committed to an existing CRM and want best-of-breed AI survey on top of it. The tradeoff is that every integration has maintenance cost, failure modes, and data-mapping edge cases — real work that compounds as platforms on either side update their APIs. Yembo's enterprise van line partnerships speak to its ability to operate in complex multi-system environments.