Standard Bots builds Spark, Core, and Thor collaborative robot arms with no-code, AI-native software that lets factory workers teach tasks by demonstration.
Researched and fact-checked by Bartu Cavusoglu · Updated August 6, 2026
Hardware purchase with published starting list prices: Spark from $29,500, Core from roughly $37,000-$39,500, and Thor from $49,500; the beta Bolt robot and software/service plans are not publicly priced, so buyers must contact Standard Bots for a quote.
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Last updated
August 6, 2026
EnterpriseAutomationAPIAIMachine Learning
Standard Bots is a robotics company headquartered in Glen Cove, New York, that designs, manufactures, and sells collaborative industrial robot arms (cobots) paired with AI-native, no-code control software. Its lineup includes Spark (7kg payload, 900mm reach), Core (18kg payload, 1,300mm reach), Thor (30kg payload, 2,000mm reach), and the mobile, bimanual Bolt (currently in beta). Rather than requiring traditional robot programming, operators teach a new skill by demonstrating the task once using tele-op (gamepad), antigravity lift-assist, or classic jog controls; the software then trains a vision-based model in the cloud and can self-correct as floor conditions change. Standard Bots targets manufacturers automating machine tending, palletizing, welding, pick-and-place, surface finishing, inspection, and assembly. Robots are designed and assembled in the US, with motor and drive systems built at the company's Glen Cove facility, and a developer SDK with API access supports integrations with PLCs, sensors, vision systems, actuators, and fieldbus connectors. The company has raised $63M in Series B funding (2024, led by General Catalyst with the Amazon Industrial Innovation Fund) and lists NASA, Verizon, Amazon, Lockheed Martin, Timken, and Lawrence Livermore National Laboratory among its customers.
Key Features
No-code, demonstration-based programming — Operators teach a robot a new task by demonstrating it once via tele-op (gamepad), antigravity lift-assist, or classic jog controls, instead of writing robot code.
AI-native skill learning — The platform captures demonstrations and trains a vision-based model in the cloud, letting robots learn new skills from roughly one demo.
Self-correcting operation — Robots can adapt and self-correct as environmental conditions on the factory floor change, reducing manual recalibration.
Developer SDK and API — A developer SDK with full API access supports custom integrations and automation beyond the built-in playbooks.
Native industrial integrations — Built-in support for connecting to PLCs, sensors, vision systems, actuators, and industrial fieldbus connectors.
Pre-built manufacturing playbooks — Ready-made task playbooks cover common use cases including machine tending, palletizing, welding, pick-and-place, surface finishing, inspection, and assembly.
Pros & Cons
Pros
No-code, demonstration-based programming lets non-specialist factory workers teach new tasks in about one demo rather than writing robot code.
Multiple robot sizes (7-30kg payload) cover a wide range of manufacturing tasks from light assembly to heavy machine tending.
Robots are designed and assembled in the US, with a stated 99.9% uptime guarantee and under-5-minute phone support response times.
Backed by significant venture funding and used by large, credible customers such as NASA, Amazon, and Lockheed Martin, suggesting operational maturity.
Cons
Industrial robot arms are a large capital purchase, starting around $29,500 for the smallest model, a very different buying motion than typical SaaS.
The Bolt mobile/bimanual robot is still in beta, so its capabilities and availability may be limited.
Detailed public pricing for accessories, software tiers, or ongoing service/support plans is not published on the website.
As a physical hardware and software platform, evaluation and deployment requires facility-level integration work (power, safety, PLCs), not a simple software sign-up.