RIOS

What RIOS does

RIOS (formerly Robotik Innovations) was an AI-powered industrial robotics company founded in 2018 and headquartered in Menlo Park, California. The company built autonomous robotic workcells that combined computer vision, proprietary AI/ML perception pipelines, and manipulation software deployed on FANUC industrial robots to automate physically demanding factory tasks. RIOS served customers across wood products and sawmills, food processing, general manufacturing, and e-commerce fulfillment, accumulating 50+ versioned industrial datasets and an installed footprint of 25+ edge sites with 4 workcells integrating 8 FANUC robots.

The company's technology stack centered on edge-deployed AI achieving sub-20ms inference latency, automated data annotation pipelines delivering a claimed 100x speedup, and the RIOS Agents Platform launched in 2024 as a reusable software layer generalizing its perception and control capabilities. Research output was published at top-tier venues including CVPR 2024, WACV 2024, ICCV 2019, and IROS 2020, reflecting genuine technical depth in robotic perception and manipulation. The business model evolved from capex-heavy deployment contracts toward an open-source and IP licensing approach following the company's 2026 archival.

The founding team included CEO Bernard Casse, CTO Clinton Smith, and co-founders Christopher Lalau-Keraly, Christopher Paulson, and Matthew Shaffer. RIOS raised approximately $51.5M in total funding, with a $5M Series A in 2020 and a $28M Series B in 2022. The company reached a peak headcount of 51-100 employees before winding down operations.

Name

RIOS

Legal name

RIOS Intelligent Machines

Website

https://rios.ai

Company type

Private

Founded year

2018

Operating status

Closed

Headcount range

51–100 employees

Short description

RIOS built AI-powered autonomous robotic workcells for industrial automation, serving wood products, food processing, manufacturing, and e-commerce customers with computer vision and FANUC-integrated manipulation systems before its 2026 archival and IP licensing pivot.

Ownership category

akta.pro rank

Product category

Industrial Automation Software

NAICS

Navigational, Measuring, Electromedical, and Control Instruments Manufacturing (33451), Search, Detection, Navigation, Guidance, Aeronautical, and Nautical System and Instrument Manufacturing (334511), Computer and Peripheral Equipment Manufacturing (33411)

SIC

Services-Computer Integrated Systems Design (7373), Electronic Computers (3571), Industrial Instruments For Measurement, Display, And Control (3823)

akta.pro primary industry

AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs) (HDAEANAJ)

akta.pro secondary industries

End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA), AI Integration & Orchestration Platforms (Connectors, Workflow, iPaaS for AI) (HDAEANAI)

Keywords

• Industrial robotics automation
• AI vision systems
• Edge AI platform
• Robotic pick-and-place
• Manufacturing automation software

Headquarters

HQ city

Menlo Park

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Operations, Infrastructure, Marketing or Sales

Revenue model

1. Robotics and AI Deployment: From 2018 to 2025, RIOS developed and deployed AI and robotics solutions across e-commerce, manufacturing, food processing, and wood products industries, securing a first multi-million dollar contract in 2023.
2. IP Licensing: Following company archiving in 2026, the company transitioned to offering IP for licensing through direct inquiries to [email protected].
3. Robotics-as-a-Service (RaaS): RIOS is listed among leading RaaS providers in the industry, suggesting a subscription-based model for robotics services. The global RaaS market is projected to reach $36.2 billion by 2030 with 21.3% CAGR.

Go-to-market motion1 record

Distribution channels2 records

Marketing channels2 records

Core offering

RIOS developed an end-to-end industrial AI and robotics platform combining GPU-accelerated computer vision, FANUC robot control integration, edge AI deployment on NVIDIA Jetson Orin hardware, and ML pipeline infrastructure. The platform delivered real-time defect detection, conveyor tracking, and multi-robot coordination for wood products, food processing, manufacturing, and e-commerce customers. Following its archival in 2026, the IP is now offered for licensing and as open source.

Product overview

RIOS developed a unified AI and robotics platform spanning e-commerce, manufacturing, food processing, and wood products. The Edge AI Platform serves as the core product—a containerized edge agent deployed across 25+ sites on industrial NVIDIA Jetson Orin hardware. This platform integrates multiple modules: Omni-Vision (MCP/FastAPI inference backend for YOLO object detection), Omni-Agent Studio (multi-LLM agent platform supporting OpenAI, Anthropic, and Ollama), and Sense & Respond (no-code event logic builder). Supporting tools include Cloud Platform (multi-tenant management with GitOps), Teta (developer tooling ecosystem), Foreman (large-scale video auto-labeling), GRADE (annotation review), and FAST (foundation-to-edge auto-annotation pipeline). The company also published research in transparent object reconstruction, 3D pose estimation, ray deformation networks, robotic grasping, and dense correspondence networks. The IP is available for licensing and open source.

Differentiator

Problem solved

Functional benefit

Products and services

• Edge AI Platform Containerized edge agent (CERA) deployed on industrial NVIDIA Jetson Orin hardware for camera management, GPU inference via YOLO/TensorRT, ROS2, MQTT, live streaming, telemetry, and worker orchestration. Deployed across 25+ edge sites for industrial customers.
• Omni-Vision MCP and FastAPI server (v2.0.0) for YOLOE object detection with six prompt modes (prompt-free, text, visual cross-image), async GPU inference, web playground, and Prometheus/Grafana monitoring. Powers interactive video analysis for industrial customers.
• Omni-Agent Studio Multi-LLM agent studio supporting OpenAI, Anthropic, and Ollama models with an interactive video-analysis app for industrial automation workflows. Users upload video, draw monitoring zones, and analyze content through AI chat with vision tool calls.
• Sense & Respond Visual no-code builder that lets customers define regions of interest (box, polygon, line), set ML-prediction-based event triggers, and generate KPI reports. Deploys logic to edge devices with output to PLC, ROS2, or HTTP.
• RIOS Agents Platform Multi-agent orchestration platform released in 2024 for industrial automation workflows, enabling AI agents to take multi-step actions with limited human intervention across industrial IT and control architectures.
• Cloud Platform Multi-tenant web and mobile platform organized as Company to Sites to Workcell Groups to Clusters to Camera Feeds. Features role-based access, deployment history, drift indicators, configuration management, and reporting built on Helm-based GitOps with Rancher Fleet.
• Foreman Auto-Labeling Pipeline Automated annotation pipeline for manufacturing video at TB scale. C++ frame extraction at 500+ fps across 64 cores with semantic deduplication, 246-dimension feature engineering, and GPU-accelerated interactive learning.
• FAST (Foundation-to-Edge Auto-Annotation) End-to-end pipeline from SAM3 foundation-model auto-annotation through pseudo-labeling to YOLO distillation. Self-improving annotation loop runs as a weekly 7-step automated process, achieving 100x speedup from teacher to edge student model.
• GRADE Annotation Review App Full-stack web app for reviewing ML-generated annotations with accept/reject workflows, lasso selection, keypoint annotation, and COCO export, closing the human-in-the-loop for auto-annotation pipelines.
• Teta Developer Tooling Ecosystem Domain-agnostic developer tooling ecosystem including project bootstrapping, app scaffolding, camera test harness, configuration management, diagnostics, code generation, and MCP integration for AI-assisted workflows.

Quantifiable outcome

• 100% detection rate with zero false positives for robotic pick-and-place failures
• +7 more outcomes

Segments4 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration5 records

AI capability12 records

Feature6 records

Scale indicators13 records

Recent moves7 records

Expansion highlights4 records

Direct peers

• Symbotic: Symbotic builds AI-enabled robotic systems for warehouse and supply chain automation. Comparable as an industrial AI robotics platform with vision-guided manipulation deployed at scale.
• Rapid Robotics: Rapid Robotics offers a Robotics-as-a-Service solution combining AI vision and industrial robot arms for manufacturing tasks. Comparable as a vision-guided robotic automation provider targeting similar manufacturing use cases.
• Formic: Formic delivers industrial robots as a subscription service for U.S. manufacturers. Comparable as a RaaS provider focused on making robotics accessible to manufacturing customers without large upfront investment.
• Locus Robotics: Locus Robotics provides AI-powered autonomous mobile robots for warehouse fulfillment on a Robotics-as-a-Service model. Directly comparable as a RaaS provider deploying AI-driven robots in industrial and e-commerce environments.
• Osaro: Osaro provides AI-powered robotic picking solutions for e-commerce fulfillment and industrial automation. Comparable for vision-based robotic manipulation with a similar product-led deployment model.
• Covariant: Covariant developed AI foundation models for robotic picking in warehouses and was acquired by Amazon. Closely comparable to RIOS for AI-powered robotic manipulation and pick-and-place perception.
• Berkshire Grey: Berkshire Grey provides AI-powered robotic picking, sorting, and fulfillment solutions for e-commerce and logistics. Directly comparable as a computer-vision-driven industrial robotics provider with similar pick-and-place focus.
• Brightpick: Brightpick builds autonomous mobile picking robots for warehouse order fulfillment. Comparable as an AI robotics provider targeting e-commerce and logistics with similar perception-driven autonomy.

Emerging players

• Machina Labs: Machina Labs uses AI and robotics for advanced manufacturing processes such as sheet metal forming. Partially comparable as an AI-robotics platform for industrial manufacturing applications.
• Robotics Plus: Robotics Plus develops AI-enabled robotics for food processing, wood products, and agriculture. Comparable as a specialist industrial AI-robotics provider addressing similar vertical applications.

Market position

Strengths4 records

Weaknesses5 records

Competitive moat4 records

Key risks5 records

Key highlights6 records

Customer concentration

• GitHubgithub.com/rios
• Xx.com/rioscorporation

Revenue estimate

Valuation estimate

Number of profiles

Funding overview

Funding rounds5 records

Investors15 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about RIOS