Contents
Introducing Customer: Plainsight Technologies
Problem: Struggles with in-house built data pipelines
Solution: Utilising Encord for an end-to-end data development platform
Results: Reduced data management complexity by 90% and annotation costs by 50%.
Case Studies
Slashing Data Management Overhead By 90%: How Plainsight Streamlined Vision Data Pipelines with Encord
Problems
Plainsight faced significant challenges with their in-house data pipelines, which were resource-intensive and inefficient. Their homegrown solutions struggled to meet their high-standards, diverting focus from their core mission.
Key Results
Plainsight transitioned to Encord’s data development platform, which seamlessly integrated with their existing pipelines. Encord provided robust data management, automated annotation tools, and granular curation features, enabling Plainsight to eliminate their inefficient in-house solutions and focus on core objectives.
Introducing Customer: Plainsight Technologies
Plainsight Technologies is the enterprise vision data company that makes your cameras count. Plainsight Vision Data Filters help companies use real-world visual data to improve bottom lines through cutting-edge AI-powered Computer Vision applications. Filters generate business-critical data and feed it directly into Enterprise data systems in order to take action and perform analysis.
Problem: Struggles with in-house built data pipelines
Plainsight's mission to provide an application framework for computer vision was hindered by challenges in their data management and annotation processes. Initially, they invested in building their own end-to-end management and annotation pipelines. However, their homegrown solutions fell short of their desired standard and required significant resources to maintain and update, distracting the team from their core objective.
Additionally, Plainsight needed a solution that respected data privacy and could handle the granular segmentation of customer data, as their customer's training data is proprietary and highly sensitive.
Solution: Utilising Encord for an end-to-end data development platform
To address these challenges, Plainsight made a strategic decision to discontinue their internal management and annotation tooling. They sought an external solution that could meet their specific needs. After evaluating several options, they chose Encord as their provider.
Encord offered a comprehensive, industry-leading data development platform that integrated seamlessly with Plainsight's existing data pipelines. The platform enabled high-level data management and discoverability capabilities, granular annotation features, and strong data curation functionality required to run efficient data pipelines.
The Plainsight team specifically mentioned the automated annotation tooling, notably the SAM 2 model, as a key improvement over their previous set-up.
By partnering with Encord, Plainsight was able to focus on its core mission without the challenges of managing in-house data pipelines.
Results: Reduced data management complexity by 90% and annotation costs by 50%.
The adoption of Encord led to significant improvements for Plainsight and their customers:
- Streamlined Cloud Bucket Management: Reduced from 14 buckets per customer to 1 bucket per customer by using Encord folder structures, cutting bucket management complexity by over 90%.
- Faster Project Setup and Workflow Efficiency: Reduced labeling project setup time from 1 day to 1-2 hours and simplified data export processes.
- Increased Annotation Efficiency and Cost Savings: Encord’s Automated Labeling Suite, including tools like SAM 2 assisted labeling, boosted annotator productivity, reduced manual annotation time and costs by approximately 50%.
- Direct Export to Model Training: Direct export of labeled data to their model training programs remove the need for intermediary storage.
Plainsight is now able to focus on their strategic priorities instead of struggling with their underperforming and complex in-house tools. The leadership team has full oversight of all their data and is empowered to build optimal data pipelines and models for their customers, accelerating the process of bringing structured data to cameras worldwide.
Yes. In addition to being able to train models & run inference using our platform, you can either import model predictions via our APIs & Python SDK, integrate your model in the Encord annotation interface if it is deployed via API, or upload your own model weights.
At Encord, we take our security commitments very seriously. When working with us and using our services, you can ensure your and your customer's data is safe and secure. You always own labels, data & models, and Encord never shares any of your data with any third party. Encord is hosted securely on the Google Cloud Platform (GCP). Encord native integrations with private cloud buckets, ensuring that data never has to leave your own storage facility.
Any data passing through the Encord platform is encrypted both in-transit using TLS and at rest.
Encord is HIPAA&GDPR compliant, and maintains SOC2 Type II certification. Learn more about data security at Encord here.Yes. If you believe you’ve discovered a bug in Encord’s security, please get in touch at security@encord.com. Our security team promptly investigates all reported issues. Learn more about data security at Encord here.
Yes - we offer managed on-demand premium labeling-as-a-service designed to meet your specific business objectives and offer our expert support to help you meet your goals. Our active learning platform and suite of tools are designed to automate the annotation process and maximise the ROI of each human input. The purpose of our software is to help you label less data.
The best way to spend less on labeling is using purpose-built annotation software, automation features, and active learning techniques. Encord's platform provides several automation techniques, including model-assisted labeling & auto-segmentation. High-complexity use cases have seen 60-80% reduction in labeling costs.
Encord offers three different support plans: standard, premium, and enterprise support. Note that custom service agreements and uptime SLAs require an enterprise support plan. Learn more about our support plans here.
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