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Ori

AI-powered robotic interiors for space-on-demand living

Architectural robotics platform that integrates transformable robotic furniture systems into residential buildings to expand functional space. Uses smart controls and automated mechanisms to convert single rooms between multiple uses (bedroom, living room, office, closet).

$26.7M raised 🏢 Established

Founded 2015 • 2,000+ systems installed in 1,750+ apartments across 64 US cities and 140 projects; primary customers include Greystar, Lincoln Property Company, Related Companies

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Why This Tool Exists

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The Problem

Urban housing shortage and high costs force residents into cramped micro-units (300-400 sq ft) that fail to accommodate modern living activities. A 300 sq ft studio cannot serve as bedroom, living room, home office, and dining space simultaneously, limiting quality of life and driving demand for expensive larger units.

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The Solution

Ori integrates computer-controlled robotic furniture systems that transform single rooms on demand. Using simple mechatronics (low-power motors, counterweights, guidance tracks), residents switch a room from bedroom (integrated bed-sofa) to workspace (Pocket Office) to closet (Pocket Closet) via mobile app, voice command, or physical interface. This delivers 500+ sq ft of functional space in 300 sq ft, enabling developers to rent micro-units 10% below market at higher occupancy rates.

How You Use It

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Delivery Method

Mobile App SaaS

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Integrations

Amazon Alexa Google Assistant IKEA (ROGNAN line)

Disciplines

Architecture, Owner/Developer, Facility Management

Project Phases

Design Development, Construction Documentation, Construction Administration, Operations/FM

Project Types

Residential, Mixed-Use

Data Transparency

Exactly what this tool uses and how

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Input

What it needs

Required: Architectural floor plans, Space dimensions, Desired transformations (bedroom/office/closet)

Optional: User schedule preferences, Custom automation rules

Formats: Physical measurement on-site, Mobile app configuration, BIM data (IFC)

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Output

What you get

Format: Deployed robotic furniture system with integrated controls

Fields: Transformed space configurations, Functional area availability, System performance logs, Maintenance alerts, Energy consumption data

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Algorithm

How it works

Model: Proprietary hardware control system with embedded sensors and machine learning (ROGNAN line with IKEA uses machine learning to map room boundaries on first few movements)

Accuracy: UL-listed (UL962) safety certification; Cycle-tested for 15+ years durability; Not publicly specified for room mapping accuracy (ROGNAN)

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Privacy

How your data is protected

Retention: Project-based retention during occupancy; post-occupancy data handling not publicly specified

Training: Machine learning from usage patterns to predict resident needs; training data handling not publicly detailed

Compliance: UL-listed furniture systems (UL962), SOC 2 status not publicly disclosed, GDPR compliance not documented for ROGNAN international expansion

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API

Integration

Endpoint: Not publicly documented

Method: Contact vendor for B2B integration options

Use Cases

• Converting single 300 sq ft studio to multi-functional space (bedroom + living room + office)
• Adding home office workspace during pandemic-era remote work transitions
• Maximizing closet and storage functionality in space-constrained units
• Flexible senior living environments (Pocket Office for healthcare oversight)
• Enabling affordability through smaller unit sizes at competitive rent points

Pricing

Free

Not available

Pro

B2B: Contact vendor for pricing per installation; Estimated $5,000-$18,990 per unit based on system complexity

Enterprise

Developer partnerships with co-GP revenue sharing and volume discounts negotiated on per-project basis

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📚 Research Sources & Data Quality Last verified: 2026-02-01

Data Sources (7)

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Verified Data (20)

vendor, website, fundingTotal, yearFounded, maturityStage, customerBase, deliveryMethod, integrations, disciplines, projectPhases, projectTypes, problem, solution, input-required, input-formats, output-format, output-fields, control-features, use-cases, pricing-pro

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Not Found (9)

api-documentation, api-endpoint, privacy-policy-detailed, soc2-certification, gdpr-compliance, algorithm-accuracy-metrics, data-retention-exact-period, training-data-policy, webhook-support

Our Commitment: We only include verified data from official sources. If information isn't publicly available, we mark it as "Not publicly specified" rather than guessing.

Ori