Plainsight Unveils the Plainsight Platform to Deliver Scalable Vision AI Infrastructure for Enterprise Applications

Comprehensive VizOps Platform manages the entire computer vision lifecycle, from data collection and model training to deployment and monitoring

SEATTLE— January 28, 2026 — Plainsight, the open developer platform for vision AI, today announced the general availability of the Plainsight Platform, the industry’s first end-to-end VizOps solution built to simplify and scale enterprise computer vision. 

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.

“Our research shows that more than 70% of computer vision initiatives stall before production, not because models don’t 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,” Paul Nashawaty, Principal Analyst, Application Development, theCUBE Research. “VizOps 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.”

Managing the Entire Computer Vision Lifecycle

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.

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. 

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.

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:

• Filter Pipelines — providing the ability to chain multiple filters together into automated pipelines for more complex vision workflows;
• Active Learning — continuously improving models by flagging and prioritizing the most valuable data for labeling and retraining, using Golden Truth-based application evaluation;
• Model Training & Retraining — scalable training of custom models and filters, with support for retraining on new datasets over time;
• Benchmarking & Quality Gates — ability to benchmark and evaluate model and Filter performance with deterministic pass/fail results and automated deployment gating (CI/CD for vision AI);
• Custom Filter Build — enabling creation of custom computer vision filters tailored to your use case with developer-friendly APIs and tooling; and,
• Observability — providing comprehensive, in-platform visibility into how your models and pipelines perform at scale.

“Delivering real-world computer vision solutions requires more than strong models, it requires infrastructure that can scale and adapt in real-world environments,” said Corey Eastman, Chief Commercial Officer at Nearform. “Plainsight’s 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.”

Simplifying Computer Vision for All Developers

Plainsight OpenFilter Plus provides flexible filtering solutions for every need, from open source enthusiasts to enterprise teams at scale. OpenFilter Hub is the collection of all Plainsight-developed Filters that are being added for use on OpenFilter. Recent additions include:

• ChatTag Filter - quickly labels images using ChatGPT;
• TextScan Filter - recognizes and extracts text from visual input; and,
• Quality Gate Filter - benchmarks and evaluates model performance.

“The future of enterprise computer vision requires an operational foundation built for scale and repeatability, not fragmented tools cobbled together into bespoke pipelines,” said Jonathan Simkins, CEO of Plainsight. “By making the Plainsight Platform generally available today, we’re 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.”

About Plainsight

Plainsight’s AI infrastructure software rapidly transforms images and video into structured, intelligible data at enterprise scale. Its modular, reusable, and use case–agnostic design, powered by OpenFilter, enables solutions to be deployed quickly, scaled effortlessly, and applied with exceptional accuracy across industries. By equipping general software engineers with the capabilities of computer vision experts, Plainsight is democratizing computer vision and accelerating real-world impact.

For more information, visit www.plainsight.ai.