Sold by: Robovision
Deployed on AWS
Robovision's platform manages the entire cycle of AI computer vision: capturing images, training algorithms, analyzing results and feeding instructions back to machines.
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Overview
Robovision offers an industrial take on computer vision: a platform that lets companies build and run visual-recognition systems without ripping out existing machinery. Its software handles the full cycle-collecting images, training algorithms, deploying models, and monitoring their performance-turning what is often an R&D experiment into a production tool.
The appeal lies less in novelty than in practicality. Off-the-shelf models tend to falter on the messy, specialized tasks found in factories or farms. Robovision allows firms to adapt algorithms to their own circumstances, whether that means spotting microscopic defects on a chip, grading produce, or flagging anomalies in medical scans.
Crucially, the system is designed for non-coders. Engineers and domain specialists can label data, adjust models and run inspections through a graphical interface, while data-science teams can still embed custom algorithms. The architecture scales from a single prototype line to global deployments, with version control and monitoring built in.
Customers report faster inspection, fewer errors and lower costs. By reducing the complexity that comes with AI development, Robovision can make computer vision a routine part of industrial operations rather than a fragile pilot project.
Highlights
- Scalability - The AI vision platform Scales with your Success and offers a built-in extensive array of pre-installed algorithms tailored to diverse applications, to help tackle the intricate AI challenges of leading industries. Companies proficient in developing internal algorithms can bring their own sector specific algorithm IP
- Adaptability - the built in End-to-End AI lifecycle management allows building, training, deploying and maintaining computer vision models. Conveniently transform data outliers into competitive advantage - Leverage anomalies and defects to refine your models, optimize performance, and eliminate the need for costly bulk labeling. Drive significant business value in demanding environments with lower effort, high-performance deployments.
- Reliability- simplify data management by consolidating everything into a single, intuitive view. Effortlessly organize all your data assets in one primary environment with consolidated tools for labeling, tags, defect books, annotations, and predictive labeling. Start a step ahead with our proven, out-of-the-box solutions for Picking & Grading and Automatic Defect Classification.
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Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Deployment | The deployment the customer works on | $37,400.00 |
Dimensions summary
This listing uses a contract pricing model built on a single dimension: Deployment, measured in units. You pay based on the number of deployments you work on. There are no separate tiers or instance sizes to choose from. Instead, pricing scales with your deployment count. Each unit represents a deployment covered under the contract. This structure lets you align cost directly with how many deployments you run.
Top-of-mind questions for buyers
A deployment unit represents one installation of the vision intelligence platform that you actively work on. Each installed machine or site running the platform maps to a deployment. Your cost scales with how many deployments you run under the contract.
Cost scales with your deployment count. Each additional deployment adds one more unit to your bill. Because the platform propagates improvements across machines and sites, you can grow deployments while keeping cost tied directly to the number you run.
Each deployment covers the vision intelligence platform with continuous monitoring, model training, retraining, and deployment. It also includes lifecycle governance and built-in traceability for compliance. These capabilities apply across the deployments you run under your contract.
robovision.ai
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Vendor refund policy
The complete refund policy of Robovision is outlined in our General Conditions, Subscription fees are non-refundable
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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Customer reviews
Raj D.
RoboVision: Innovations in AI and Automation
Reviewed on Jun 26, 2024
Review provided by G2
What do you like best about the product?
A number of best features of RoboVision is like Advanced AI & computer vision technologies, customizable AI models, Integration capabilities, cost reduction and support features.
What do you dislike about the product?
The use of AI in automation and decision-making processes raises ethical concerns, such as algorithmic bias, job displacement and sociatal impacts. RoboVision worst thing is like compatibilty issues, data migration complexities that affect overall system performance.
What problems is the product solving and how is that benefiting you?
RoboVision solves many problems through its AI and computer vision technologies, providing many benefits like Automation of complex tasks, Boost decision-making with Real-time insight, Improving safety & compliance, Customizable AI solutions and some Innovation advantages.