One Platform for Complete Vision AI Lifecycle Management

Production-Ready Computer Vision In Days, Not Months

Centralize and standardize all computer vision initiatives and workflows across your enterprise to exponentially reduce the time and cost of creating, scaling, and maintaining successful solutions.

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In this image, steps are outlined for how to use data to build and train a machine learning model.

Continuous Enterprise Value Generation with End-To-End Computer Vision

This image is showing the features and capabilities of PLAINSIGHT, a data management platform, including cloud and on-premises deployment, data annotation, model training, and collaboration.

Operationalize Vision AI Solutions For Your Business

Integrate Plainsight across your business to transform live video feeds and other visual data into a centralized, unblinking source of knowledge for continuous operational improvement, process automation, and risk management.

Fast Time To Value

Go from prototype models to fully scaled deployments quickly and efficiently.

Security and Privacy

Enterprise-grade security and privacy allow customers to focus on driving business value.

Dynamic Scaling

Automatically scale pipeline and compute usage up or down to match deployment, utilization and throughput.

Cloud & Edge Deployments for machine learning

Custom Integrations

Extend the value of visual data by integrating vision AI applications into your existing business applications and systems.

Platform Highlights

Plainsight’s industry standard-setting technology is the foundation for transformative enterprise computer vision solutions.

Custom Label Schemas for computer vision

Image & Video Data Handling

AI-powered visual data discovery, preparation, and management. Accelerate projects and reduce labeling time by 96%.

Optimized Model Training

Integrated SmartML and Pipelines enable rapid, accurate model training with built-in hyperparameter intelligence.

Purpose-Built Flexible Deployment

Deploy and scale solutions at the edge, on premises, or to your public or private cloud.

Computer Vision Governance

Software, HITL, and standardized pipelines for transparency and responsible model maintenance.

Data Collection, Curation, and Evaluation

Transformative computer vision solutions start with robust datasets and a thorough AI-powered process of data discovery, preparation, and ongoing management.

Continuously Collect Images & Video

Synchronized, managed, and maintained visual data repositories from cloud sources, mobile devices, and edge nodes.

Data Pre-Processing

AI-powered data processing for efficient model training and accurate inferencing.

Image Tiling

Specialized tools, such as tiling to divide high-resolution assets into smaller tiles optimizes speed and accuracy.

Dataset Version Control

Best practices for versioning and maintaining dataset traceability assist with accountability throughout the process.

AI-Powered Annotation

Plainsight’s integrated labeling tools and team of experts accelerate the annotation process and bring solutions into production faster.

Flexible Label Types

A full range of label types enable customer use-case specific annotation such as image segmentation, feature points, and more.

AI-Powered Labeling

We reduce labeling time by 96% with tools like TrackForward and SmartPoly for automated frame-to-frame object predictions and object polygon selection.

AI That Builds AI

Custom models automate data labeling for fast, easy dataset creation and model training for use case applications.

Labeling Service

Leverage fully managed labeling services for rapid, accurate production of labels for projects of all sizes and complexity.

Optimized Model Training

Centralized visual data and workflows optimize model training and monitoring processes for speed and efficiency. With built-in intelligence, SmartML utilizes labeled datasets and configuration as input and outputs models available for deployment through API endpoints.

Managed Model Training

With proven best practices, models are trained, optimized, and managed from design through deployment and ongoing improvement.

Resource Efficiency

Automated solution performance tracking optimizes resources allocation to reduce time and costs, and optimize cloud consumption.

Pre-Built Models

Jump start vision AI projects using pre-built models for common off-the-shelf solutions.

Repeatable, Scalable Success

Standardized model training processes enable cross-enterprise scale, expanded solution access, and repeatable success.

Plainsight Pipelines

Plainsight Pipelines standardizes processing and management of visual data workflows, enabling rapid experimentation and reducing time to production for solutions at scale across enterprises.

Pipeline Configuration

A centralized workspace for configuring, managing, and deploying pipelines and complex workflows.

Pipeline Blocks

Pre-configured data processors like resizing, cropping, and tiling enhance accuracy and increase savings.

Model Performance Tracking

Continuous monitoring of model performance, inferences and activity provides tracking for ongoing improvements.

Batch & Streaming Deployments

Flexible deployment types enable optimization for cost efficiencies (batch) or latency (streaming).

Bring End-to-End Vision AI Into Your Private Cloud

Plainsight on Google Cloud enables customers to centralize and optimize end-to-end management of their visual data, vision AI workflows, computer vision solutions, and shared insights within their private networks.

With Google Cloud scale, security, privacy, unified billing, and cost savings, Plainsight empowers enterprise teams across business units by creating, deploying, and monitoring purpose-built vision AI solutions.

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Our Platform Accelerates Computer Vision Value

One centralized, standardized source for all CV Initiatives that exponentially reduces the time, cost, and maintainability of solutions at scale.

Speed

See value in days, not months

Plainsight immerses into your business and builds a deep understanding of your data and challenges for holistic strategies that generate immediate value.

Accuracy

Maintainable, repeatable improvement

Rapid, continuous iteration achieves accuracy through an integrated product, AI-driven data discovery, & repeatability enabled by versioning & pipelines.

Scale

Codified, automated workflows

Plainsight standardizes & centralizes the full CV process in order to maintain accuracy, reduce costs, and create extensible solutions in production environments.

Oversight

Responsible computer vision governance

Long-term CV success requires software, Humans In The Loop (HITL), and standardized pipelines for transparency & responsible model maintenance.

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