Orangewood Labs
Category: Robotics / Embodied AI
Orangewood Labs builds the world's most affordable AI-powered robotic arms that can be programmed using natural language (RoboGPT), making industrial automation accessible to small and medium businesses. Orangewood Labs was founded in 2017. The company is led by Abhinav Das. Based in San Francisco, California, United States. Team size: 101-500. Total funding raised: $4.65M. Latest round: Series A. Key investors include Y Combinator, 7percent Ventures, Schox Ventures, VentureSouq, KSK Angel Fund, For Good Ventures, Navam Capital, Founders Inc..
- Founded
- 2017
- Headquarters
- San Francisco, California, United States
- Team size
- 101-500
- Total funding
- $4.65M
Value proposition
World's most affordable AI-powered robotic arms that can be programmed using plain English (voice or text) via RoboGPT, reducing programming time from tens of hours to seconds, and offered at a fraction of human labor cost through flexible subscription pricing.
Products and solutions
RoboGPT (AI-powered natural language programming platform for robotic arms), AI-powered collaborative robotic arms (cobots) for bin picking, visual inspection, powder coating, spray painting, bartending, Robots-as-a-Service (RaaS) subscription model ($1,500-$2,000/month per robot)
Unique value
First company to commercialize generative AI (RoboGPT) for robotic arms — enabling anyone to program industrial robots with natural language, cutting programming time from hours to seconds, at the most affordable price point in the market.
Target customer
Small and medium-sized businesses (SMEs) in manufacturing, woodworking, furniture, food processing, and industrial automation; first-time robot buyers in workshops and warehouses across North America and India.
Industries served
Manufacturing, Furniture & Woodworking, Industrial Automation, Food & Beverage, Quality Inspection, Powder Coating & Spray Painting, Logistics & Warehousing
Technology advantage
RoboGPT — proprietary cognitive programming framework using generative AI for natural language robot programming; patented error compensation in mechanical transmissions (US11148287B1); 6-DOF robotic arm with 5kg payload; ML-based anti-whiplash gear system; adaptive learning from environment; 3 patents filed; affordable parts sourcing enabling lower price point vs competitors
How they differentiate
First to commercialize generative AI for robotic arms (RoboGPT); natural language programming (voice/text) vs traditional coding; most affordable price point via cheaper parts sourcing and RaaS subscription model; 1000x easier programming; adaptive learning system; dual HQ in San Francisco and Noida, India for cost-efficient R&D and manufacturing.
Main competitors
Flexiv Robotics, Agile Robots, Mujin
Key partnerships
Viam (data management software platform for smart machines), PickNik.ai (open-source robotics application development platform), Y Combinator (W18 batch), Founders Inc.
Notable customers
500+ deployments of robotic arms, first client was a small woodworking unit for CNC automation, customers across North America and India in manufacturing, warehousing, and industrial settings
Major milestones
Winter 2018 Y Combinator batch, Launched RoboGPT (generative AI natural-language programming for robotic arms), Raised ~$4.5M funding tranche / Series A (Aug 2023, led by Y Combinator), Forbes Asia 100 to Watch 2024, 1M+ USD annual revenue (2025, founder-reported), 25+ clients across manufacturing, hospitality, research (Dec 2025), ~51 employees (mid-2026)
Growth metrics
Revenue: over $1M annual (2025, founder-reported); Team: ~51 employees (mid-2026); 25+ clients (Dec 2025); TechCrunch (Aug 2023) cited 500 deployments and $750K committed/booked revenue
Market positioning
Positioned as the most affordable and easiest-to-program AI robotic arm provider for SMEs, competing against larger industrial robotics players (ABB, Fanuc) and well-funded cobot startups. Differentiates through RoboGPT natural language programming and RaaS subscription model ($1,500-$2,000/month) vs traditional $35K+ upfront purchase.
Geographic focus
North America (primary market) and India (R&D and manufacturing hub)
Patents and IP
US Patent US11148287B1: "System and/or method for error compensation in mechanical transmissions" (Issued Oct 19, 2021); 3 total patents filed per CB Insights
About Abhinav Das
Ex-Consultant at Autoninja; Co-Founder & CEO at Evomo (Evolving Mobility); Engineer at Sona Koyo Steering Systems Ltd and International Center for Automotive Technology (iCAT). Education: Kendriya Vidyalaya, Andrews Ganj.
Latest news about Orangewood Labs
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Official website: https://www.orangewood.co/