Comprehensive VizOps Platform manages the entire computer vision lifecycle, from data collection and model training to deployment and monitoring<\/p>\n
Plainsight, the open developer platform for vision AI, today announced the general availability of the\u00a0Plainsight Platform, the industry\u2019s first end-to-end VizOps solution built to simplify and scale enterprise computer vision.<\/p>\n
VizOps is the practice of managing the entire computer vision lifecycle, from data collection and monitoring, into a single, integrated system, enabling organizations to build, operate, and trust vision AI applications in production. With built-in quality assurance and automated evaluation at every stage, Plainsight helps teams move from prototype to enterprise-scale deployment faster, with confidence in accuracy, reliability and real-world performance.<\/p>\n
\u201cOur research shows that more than 70% of computer vision initiatives stall before production, not because models don\u2019t work, but because teams lack the operational foundations needed to trust them at scale. Data pipelines break, evaluation is inconsistent, and performance degrades quietly over time,\u201d Paul Nashawaty, Principal Analyst, Application Development, theCUBE Research. \u201cVizOps is emerging as the missing discipline, bringing CI\/CD, observability, and automated quality gates to vision AI in the same way DevOps transformed application development. Platforms like Plainsight are defining this category by treating computer vision as an operational system, not a science experiment, embedding quality, monitoring, and lifecycle management directly into the workflow. The result is a shift from fragile prototypes to production-grade vision AI that enterprises can rely on, operate confidently, and scale across real-world environments.\u201d<\/p>\n
Managing the Entire Computer Vision Lifecycle<\/p>\n
Building production-grade vision AI presents unique challenges, including large-scale video and image processing, continuous model evaluation, and the operational realities of camera-based environments. The Plainsight Platform is designed to address these challenges end to end.<\/p>\n
The Plainsight Platform is a framework for building computer vision workflows through modular, composable building blocks called Filters. It can encapsulate a machine learning model, traditional computer vision logic, utility functions, testing and evaluation tools. Each Filter is self-contained, with its own lifecycle and dependencies, which makes them easy to mix, match, reuse, and chain together.<\/p>\n
Filters enable developers of any skill level to build, deploy, and maintain vision AI applications with unprecedented simplicity. Through intuitive workflows and pre-built filters, developers can easily experiment, iterate, and operationalize computer vision projects with confidence that applications will perform reliably in production, without needing specialized ML or data science expertise.<\/p>\n
The Plainsight Platform simplifies vision application development and maintenance for developers, while providing clear, actionable visibility into system performance, quality, and reliability for operations teams and leadership. The Plainsight Platform offers:<\/p>\n
Filter Pipelines\u00a0\u2014 providing the ability to chain multiple filters together into automated pipelines for more complex vision workflows;<\/p>\n
Active Learning\u00a0\u2014 continuously improving models by flagging and prioritizing the most valuable data for labeling and retraining, using Golden Truth-based application evaluation;<\/p>\n
Model Training & Retraining\u00a0\u2014 scalable training of custom models and filters, with support for retraining on new datasets over time;<\/p>\n
Benchmarking & Quality Gates\u00a0\u2014 ability to benchmark and evaluate model and Filter performance with deterministic pass\/fail results and automated deployment gating (CI\/CD for vision AI);<\/p>\n
Custom Filter Build\u00a0\u2014 enabling creation of custom computer vision filters tailored to your use case with developer-friendly APIs and tooling; and,<\/p>\n
Observability\u00a0\u2014 providing comprehensive, in-platform visibility into how your models and pipelines perform at scale.<\/p>\n
\u201cDelivering real-world computer vision solutions requires more than strong models, it requires infrastructure that can scale and adapt in real-world environments,\u201d said Corey Eastman, Chief Commercial Officer at Nearform. \u201cPlainsight\u2019s unified platform enables teams to build, deploy, and operate vision AI applications, while continuously improving performance over time. It allows us to move faster, reduce operational complexity, and confidently deliver solutions that are ready for enterprise production.\u201d<\/p>\n
Simplifying Computer Vision for All Developers<\/p>\n
Plainsight OpenFilter Plus\u00a0provides flexible filtering solutions for every need, from open source enthusiasts to enterprise teams at scale.\u00a0OpenFilter Hub\u00a0is the collection of all Plainsight-developed Filters that are being added for use on OpenFilter. Recent additions include:<\/p>\n
ChatTag Filter\u00a0\u2013 quickly labels images using ChatGPT;<\/p>\n
TextScan Filter\u00a0\u2013 recognizes and extracts text from visual input; and,<\/p>\n
Quality Gate Filter\u00a0\u2013 benchmarks and evaluates model performance.<\/p>\n
\u201cThe future of enterprise computer vision requires an operational foundation built for scale and repeatability, not fragmented tools cobbled together into bespoke pipelines,\u201d said Jonathan Simkins, CEO of Plainsight. \u201cBy making the Plainsight Platform generally available today, we\u2019re delivering true VizOps infrastructure software that unifies and delivers the entire vision AI lifecycle, from development to production and continuous improvement. We are committed to giving general software development teams the tools to perform like computer vision experts, and the Plainsight Platform delivers that vision with modular, composable building blocks and observability, enabling enterprises to confidently deploy and scale vision AI applications with their existing engineering team.\u201dThe post Plainsight Launches Platform for Scalable Enterprise Vision AI first appeared on AI-Tech Park.<\/p>\n","protected":false},"excerpt":{"rendered":"
Comprehensive VizOps Platform manages the entire computer vision lifecycle, from data collection and model training to deployment and monitoring Plainsight, the open developer platform for vision AI, today announced the general availability of the\u00a0Plainsight Platform, the industry\u2019s first end-to-end VizOps solution built to simplify and scale enterprise computer vision. VizOps…<\/p>\n
The post Plainsight Launches Platform for Scalable Enterprise Vision AI<\/a> first appeared on AI-Tech Park<\/a>.<\/p>\n<\/div>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-container-style":"default","site-container-layout":"default","site-sidebar-layout":"default","disable-article-header":"default","disable-site-header":"default","disable-site-footer":"default","disable-content-area-spacing":"default","footnotes":""},"categories":[4,1],"tags":[3],"class_list":["post-907","post","type-post","status-publish","format-standard","hentry","category-ai","category-ai-and-ml","tag-ai"],"yoast_head":"\n