Overview.ai announces Series A funding!

The Snap Platform

A turnkey machine vision system that handles everything from device management to algorithm development to support your quality and traceability goals.
All supported remotely by our in-house experts with zero on-site machine learning experience necessary.

A simple platform architecture

Camera stations are easy to setup

The Snap Platform combines cameras, data and algorithms using stations. Stations can be controlled manually by operators or run automatically. You can inspect products at high speed or catalog shipments for damage disputes.
An operator can trigger the image and data capture, in order to:

Add automated inspection to manual production line

Inspect and check from a mobile phone

Prototype automated inspection stations without test hardware

Smart cameras can automatically inspect from a PLC trigger, interval, or, in the case of video events, continuous capture. They can:

Integrate with existing automation

Install quickly where there is no existing automation

Run and perform inspections without an internet connection

Algorithms are simple to create and maintain

All data is saved, searchable and analyzed

Unlike a typical vision system, the Snap Platform saves all data from your process. Data is catalogued for easy search and analysis. Find new sources of yield loss and determine the root cause with data post-processing.

Deployment in as little as a week, with zero machine vision experience necessary

We support most hardware and are flexible across industrial environments. The Snap Platform includes easy-to-install smart cameras, webcam-based inspections in-lab settings, mobile inspections for field operators and even supports upgrading underperforming existing machine vision systems. Our rugged and reliable system can be deployed in as little as a week by teams with zero machine vision experience.

Integrates with your existing system and communicates across networks

Easily integrate a camera into a new or existing production system. Building rules to trigger alerts and communications can be done in a few minutes by anyone. Alerts or messages sent in:

More availability and less downtime with instant, best-in-class system support. 95% of setup, upgrades and troubleshooting can be done remotely. Issues are resolved in minutes instead of days through our remote connectivity.

Russell Nibbelink Overview Co-founder

Russell Nibbelink

Co-founder & Head of Engineering

Russell Nibbelink is the head of engineering and a co-founder at Overview. At Overview, he leads the team that helps customers implement cutting-edge, high-speed deep learning algorithms to reduce manufacturing waste and defective parts. 

Before joining Overview, Russell was a software engineer at Salesforce, where he worked on web-scale infrastructure projects. His many accomplishments at Salesforce include the migration of Salesforce’s largest customers to upgraded hardware with no downtime, live database change record ingestion, and the creation of visibility tooling for calculating data throughput rates.

Russell received his Bachelor of Science from the University of California Berkeley College of Engineering, where he was also the head teaching assistant in the field of High Performance Computing.

Chris Van Dyke Overview CEO

Chris Van Dyke

Co-founder & CEO

Chris Van Dyke is the CEO and co-founder of Overview. He is responsible for the company’s strategic direction, corporate development, sales and marketing. With over 16 years of engineering and manufacturing expertise, Chris focuses on optimizing customer’s manufacturing operations using artificial intelligence and computer vision to accelerate product development, reduce rework, and improve yields. Since founding Overview in 2018, Chris has been instrumental in building a company and team dedicated to a disruptive, positive impact on manufacturing for decades to come. 

Before Overview, Chris served in several senior manufacturing engineering positions at Tesla for eight years. For Tesla’s Model 3, he led the 80-person battery design team from the initial battery concept to the product launch to the high-volume production. He also managed the infrastructure and equipment design for the first Gigafactory, including equipment for supporting battery cell manufacturing. Chris also launched Tesla’s Electric Vehicle Supercharger Program, with more than 25,000 stations worldwide. 

Prior to Tesla, Chris was a senior engineer at H2Gen Innovations, during which time he co-authored multiple patents. Chris holds a Bachelor of Science degree in Mechanical Engineering from Stanford University and a Master of Science in Chemical Engineering from the University of Virginia.

Austin Appel

Co-founder & Head of Product

Austin Appel is the head of product and a co-founder at Overview, where he is responsible for leading product development and operations. With over 8 years of experience in manufacturing and systems engineering, Austin works with customers to ensure that manufacturing operations can quickly adopt and use artificial intelligence-based computer vision systems.

Before Overview, Austin spent four years at Tesla in various capacities, including battery manufacturing, and research and development (R&D). He led the design for manufacturability (DFM) and automation efforts for the Model 3 battery pack production at Tesla’s first Gigafactory. Earlier at Tesla, he expanded the production of Model S and X battery packs through equipment design and implementation.

Austin holds a dual Bachelor of Science degree in Manufacturing Engineering and Mechanical Engineering from Northwestern University.