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Okibo

AI-guided autonomous robot for drywall finishing and painting

Okibo builds the EG7 and EG7+ autonomous robots, which use a patented AI-guided 3D scanning and real-time modeling algorithm to perform interior drywall sanding/finishing, painting, and high-speed dual-nozzle coating ("BLASTER") on construction jobsites without external sensors, WiFi, site markings, or BIM setup.

$7.85M growth-equity round disclosed March 2024, co-led by Shadow Ventures and BitStone Capital, with participation from Saint-Gobain (via its NOVA venture arm), Pi Labs, Builtup Ventures, and Yanushevsky Group; some third-party trackers (e.g., PitchBook) list cumulative funding as high as ~$10.3M, but this figure is not confirmed by primary sources raisedGrowth Stage
Founded 2018 · Named partners/customers include Performance Contracting, Inc. (PCI), which deployed Okibo robots on the Netflix House project (King of Prussia, PA), and a premiere demo deployment at Hensel Phelps's Federal and AEC Innovation Day (Phoenix, AZ); a partnership with "Autonomous Workforce AI Solutions" supports expansion into the southern U.S. Company states its robots have covered 1M+ sq ft across Europe. No public total customer or fleet-size count disclosed.
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WHY IT EXISTS

Why This Tool Exists

The Problem

Interior drywall finishing (sanding, plastering) and painting is physically demanding, repetitive overhead work that causes crew fatigue and injury risk, compounded by an ongoing skilled-labor shortage in U.S. and European construction. Manual Level 4/5 drywall sanding and painting on large commercial buildouts is slow and produces inconsistent quality across big surface areas.

The Solution

Okibo's EG7 and EG7+ robots use real-time 3D scanning and AI-guided path planning to autonomously navigate rooms and perform drywall sanding, plastering, and painting - including the dual-nozzle "BLASTER" spray system for high-speed coating - without external sensors, WiFi/5G, total stations, or site markings. An on-site operator loads materials, ensures charged batteries, clears obstacles, and cleans the spray unit while the robot completes the finishing pass, with the company reporting up to ~1,000 sq ft/hour and up to 5x the productivity of manual crews on Level 4/5 sanding.

USAGE

How You Use It

Delivery Method
On-site autonomous robot (hardware)
Integrations
Not publicly specified - the company's product page references "predictions and analytics (BIM 5D)" but no named integrations with construction software (e.g., Procore, Autodesk Construction Cloud) were found on public sources
Disciplines
Construction
Workflows
Coordination & Delivery
Project Phases
Construction Administration
Project Types
Commercial, Institutional
TRANSPARENCY

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:Interior wall/ceiling surfaces to finish (drywall or paint-ready walls), On-site operator to load materials, charge batteries, and clear obstacles
Optional:BIM model data (referenced as "predictions and analytics (BIM 5D)" on the company site, though not required for core operation)
Formats:Physical jobsite surfaces (no file upload required for core operation)
Output
What you get
Format:Physically completed drywall finish or paint/coating application on-site
Fields:Square footage completed, Finish level achieved (e.g., Level 4/5 drywall), Coverage/completion rate
Algorithm
How it works
Model:Proprietary, patented AI-guided 3D scanning and real-time modeling algorithm; underlying computer vision/ML architecture not publicly disclosed
Accuracy:Company claims ~1,000 sq ft/hour completion rate and up to 5x productivity gains over manual methods for Level 4/5 drywall sanding, per named customer PCI on the Netflix House project. These are vendor-reported figures from press coverage and case studies, not independently benchmarked.
Privacy
How your data is protected
Retention:Not publicly specified for jobsite/operational data; the published website privacy policy (okibo.com/privacy-policy) covers only standard web-analytics data (session duration, browsing behavior, device/browser info) and does not address robot-collected jobsite scan data
Training:Not publicly specified
Compliance:CE certified (machinery safety and electromagnetic compatibility standards) for the EG7/EG7+ hardware; no SOC 2, GDPR, or data-specific compliance certification found on public sources
API
Integration
Endpoint:Not applicable - physical robotics hardware; no public software API found
Method:Not publicly documented
USE CASES

Use Cases

  • ·Autonomous Level 4/5 drywall sanding on large commercial interior buildouts
  • ·Autonomous interior wall painting and priming
  • ·High-speed dual-nozzle coating application via BLASTER technology
  • ·High-wall (up to 24 ft) finishing work without scaffolding-dependent manual labor
  • ·Reducing finish-crew physical strain and injury risk from repetitive overhead sanding and painting
PRICING

Pricing

Free
Not publicly specified - no free trial; company offers on-site demonstrations (e.g., Hensel Phelps Innovation Day premiere)
Pro
Contact vendor for pricing - no public per-unit or per-project pricing found
Enterprise
Custom fleet deployment arrangements with specialty contractors (e.g., PCI); exact commercial terms (purchase vs. robotics-as-a-service) not publicly disclosed
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Research Sources & Data QualityLast verified: 2026-07-16
Data Sources (11)
Verified Data (8)
problem, solution, deliveryMethod, yearFounded, fundingTotal, customerBase, algorithm-approach, headquarters
Not Found (7)
integrations, pricing-dollar-amounts, api-documentation, soc2-or-third-party-certifications, jobsite-data-privacy-terms, independently-verified-accuracy-benchmarks, exact-customer-or-fleet-count
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.
ALTERNATIVES

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