How OnsiteIQ Achieved 5x Faster Data Throughput and Streamlined Their AI Infrastructure
OnsiteIQ, a construction company using computer vision for safety and quality inspections, migrated their data workflows to Encord after overhauling their AI infrastructure. This enabled them to become operational 4x faster and achieve 5x data throughput with their existing team.
"Encord integrates seamlessly into our entire AI infrastructure," says Evgeny Nuger, Principal Engineer at OnsiteIQ. "By implementing Encord within our redesigned ML infrastructure, we've established an efficient end-to-end workflow from data sampling through to model training."
Platform Migration + Key Results
OnsiteIQ faced significant limitations with their previous annotation platform, struggling with poor usability and underperforming automation capabilities that hindered their workflow efficiency.
After evaluating several vendors, the team chose Encord for its advanced features and intuitive interface, particularly the SAM 2 integration for automated labeling workflows.
“ We needed to build an AI infrastructure system where it's easier for us to sample our production data and flexible enough for us to sample image data and potentially other types of data in the future. ”
Evgeny Nuger, Principal Engineer at OnsiteIQ
The results:
- 5x improvement in data throughput – with corresponding decrease in labeling costs through advanced automation features
- 75% reduction in time to value – implementation time decreased from 2 months to just 2 weeks
- Real-time annotation analytics – simplified team management through Encord's monitoring dashboard
Superior Automation and Intuitive User Experience
The automation capabilities paired with the UX of Encord's platform were decisive factors in OnsiteIQ's selection:
“ The automated annotation tools like SAM 2 worked seamlessly, unlike our previous solution where these features were promised but failed in implementation. ”
Evgeny Nuger, Principal Engineer at OnsiteIQ
Despite offering sophisticated organization with distinct layers for datasets, projects, ontologies, and files, the team found Encord's platform surprisingly intuitive, effectively balancing complexity with usability. Evgeny notes, "The UX on Encord's platform was way more clear as to how everything comes together."
Accelerated Time to Value
The implementation timeline also improved dramatically. The team saw a 4x acceleration in their time to value, reducing time to value from 2 months to just 2 weeks:
“ Setting up our labeling process with our previous solution took nearly two months and required extensive support. With Encord, we were operational in just two weeks, and then we went on vacation and got back, and the data was good. ”
Rammohan Adabala, Principal Product Manager at OnsiteIQ
Improved Team Management
OnsiteIQ now utilizes Encord's built-in analytics to optimize their operations:
“ We're looking at how many labels they're submitting in a given time period, how much time they're spending, what is their throughput, how many users are active, and how much more data is pending. We like the project management aspect within Encord. Previously, we were downloading analytics per project and doing the analysis manually. Now, this workflow is removed, and we can just do it using the analytics page. ”
Rammohan Adabala, Principal Product Manager at OnsiteIQ
The fully integrated system has improved operational efficiency for OnsiteIQ. The company is now actively using the data generated through Encord for deploying models into production.
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Index
Manage & curate your data
Understand and manage your visual data, prioritize data for labeling, and initiate active learning pipelines.
Annotate
Supporting your labeling needs
Super charge your data annotation with AI-powered labeling — including automated interpolation, object detection and ML-based quality control.
Active
Find & fix data issues with ease
Monitor, troubleshoot, and evaluate the data and labels impacting model performance.
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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Forget fragmented workflows, annotation tools, and Notebooks for building AI applications. Encord's Data Development platform accelerates every step of taking your model into production.
