Built for Public Sector
Built for Defense
Built for National Security
Built for Intel Analysts
Built for Climate Security
We automate visual data analysis with the world's most intuitive AI-enabled platform
Mission Driven Since Day 1
CrowdAI provides a full solution to go from pixels to analytics to solve your domain-specific automation needs.
- Data Analysis as a Service
- Domain-specific Models
- Fully Automated Analytics Pipelines
Letting you focus on decision making.
Create domain-specific AI solutions to enable smarter and faster decisions.
Operational solutions running in real time.
Set it and forget it solutions with automated alerting systems in your common operating picture.
Our prediction pipelines automatically ingest images, runpredictions, and push data to custom dashboards.
Less Data is More
Novel model architectures that enable few-shot learning solutions.
No more data waste. You can develop more performant models using less data.
Domain Specific AI
No more one-size-fits-all models, build AI specific to your domain and power competitive advantage.
Building competitive advantage relies on capitalizing on what makes you unique. With CrowdAI, models are powered by the knowledge of your domain experts and are sensitive to your operations and edge cases.
High Side Deployment
Trusted tool for the public sector.
The most powerful AI tool, ever.
CrowdAI pairs the power of deep learning with the approachability and speed of no-code software. Our platform automates the process of creating domain-specific, customized models that are built to meet your specific requirements.
Our team of experts is ready to transform the public sector by automating your visual inspection.
Break down visual silos and bring all your media into a single, organized library.
Standardize data across disparate resolutions and formats.
Manage multiple quality-controlled data annotation workflows at scale.
Auto-augment data with sophisticated machine learning.
Train best-in-class neural networks to create bespoke AI.
Deliver models anywhere—on the factory floor, in space, and everywhere in between.
Endless possibilities for automation.
Our company provides domain-specific solutions, with end-to-end integration, so your team can focus on decision-making.
CrowdAI enables policymakers and operators achieve decision advantage. Our platform and partnership model reduce analytic burden by automating image and video analysis, delivering critical insights quickly and reliably and freeing-up valuable analyst hours to pursue higher cognitive tasks.
CrowdAI rapidly maps disaster affected areas, providing comprehensive situational awareness to first responders, analysts, and policymakers. From on-the-fly route analysis to city-wide damage assessments, CrowdAI empowers those on the front lines to save lives and keep responders safe.
CrowdAI helps aerospace manufacturers avoid endless potential defect variations by learning from examples, instead of rules, providing near real-time situational awareness at a national scale. Models can spot faulty sub-assemblies, final quality check issues, and perform integrity assessments around-the-clock.
Utilities & Telecoms
CrowdAI helps Utilities avoid endless potential defect variations by learning from examples, instead of rules, providing near real time situational awareness at a national scale. CrowdAI can spot corroded insulators, vegetation management issues and ingest meter readings on every square meter of the state, simultaneously.
Oil & Gas
CrowdAI helps oil and gas organizations spot pixel-level defects on every well site across the planet, in near-real time. Our aim is to help every energy team execute safely and profitably, from exploration to retail.
CrowdAI help retailers acheive an infinite degree of personalization, from identifying items of interest in selfies, to tracking actual engagements, and creating shopper recommendation engines.
Virtual mirrors for fitness and fashion bring the world’s best instructors and icons into your home, while virtual checkouts reduce rush hour lines and costs.
CrowdAI helps industrial organizations spot pixel-level defects on every manufacturing line, in near-real time. Our aim is to help teams everywhere, from factories to farms automate visually-driven decisions that are otherwise overwhelming.
Insurance & Finance
CrowdAI helps insurance and finance organizations automate image and video analysis to identify risk, create digital experiences, and lower the cost of operations.
Life Sciences &
CrowdAI helps life science and pharmaceutical companies automate image and video analysis to give doctors time back with their patients and accelerate time to market for life-saving drugs.
Facilities and Maintenance Solutions
CrowdAI enables facilities managers and maintenance crews to lower costs and improve operational efficiency. Automated imagery and video analysis helps assess damage, deterioration and other maintenance issues, and keeps crews safer through remote analysis.
“Small Devices, Big Impacts: Streaming Computer Vision Models at the Edge”
Running a computer vision model on a cell phone or mobile device is a powerful tool that can enable real-time analysis of images and videos, which can be useful in a variety of applications. While there are challenges to streaming computer vision models on small devices, CrowdAI has developed a roadmap of techniques and tools to overcome these challenges. By leveraging cloud driven API connections for invoking inference from a trained model, CrowdAI sees a pathway to real-time analysis of imagery and video on small devices operating at the edge. Additionally, the geospatial benefits of building models from media captured on cell phones can offer unique advantages for training, monitoring, and analyzing objects of interest.
Deploy Anywhere; Use Every Camera: The Power of the CrowdAI Platform
In today's world, where we are surrounded by computers and cameras of all types and sizes, it's essential for machine learning services to be deployment-agnostic and camera-agnostic. Being able to work in any cloud, hardware, or software environment; and to use any camera or sensor is an invaluable advantage that has become increasingly important in recent years as the use of cameras has exploded in various industries. These features allow for greater flexibility and ease of use—exactly what CrowdAI strives to provide—enabling ML to be used in a wider range of applications.
Exploring how SAM and GroundingDino Increase Opportunities to Accelerate Semi- and Fully Automated Bounding Box Data Labeling
Going from a complex segmentation model to a simpler bounding box object detection model using SAM may seem like a bit of overkill, but there are some instances where an object detection model is favored over a segmentation model. For example, if we have a photo of a street with a bunch of pedestrians, a detection model can provide insight into how many people are there, their location in the frame, and how they interact with each other; segmentation masks wouldn’t give us as useful information since they would just be silhouettes of standing or walking people. Another benefit is that object detection models are designed to be more robust to variations in object size, rotation, and aspect ratio, making them ideal for identifying objects with diverse geometries. Lastly, when computational resources are limited, object detection models tend to be less computationally intensive than segmentation models, which can require more processing power and memory to run efficiently.
Using CrowdAI Models and GroundingDinos Models: Going from Trained Object Detection to Segmentation using SAM in the Blink of an Eye; All Happening Within the CrowdAI Platform
To test out quickly moving from an object detection model to segmentation model using the SAM integration in the CrowdAI platform, we revisited a detection model we had built in the past. CrowdAI worked on automating visual inspection for a real estate developer. Their goal was to have tenants take photos of damage in their apartments and have our models automatically identify what the potential problem could be and on what appliance. The examples below are from a quick study CrowdAI completed to identify if a shower head was leaking – for the purpose of the study we used images of shower heads running and not running to train a model to identify water ‘leaking’ from the shower head.
Constantly integrating new technologies, such as the Segment Anything Model (SAM), into the CrowdAI platform; keeping CrowdAI at the forefront of computer vision
Segmentation is a core computer vision architecture - training a model based on the exact pixels which make up an object of interest. This computer vision architecture typically requires a time consuming annotation process because a large number of carefully labeled media are needed to train a model, with the labeling work often needing to be done by subject matter experts. The caveat being, most subject matter experts don’t have the time to be meticulously labeling, nor do they have hundreds of examples of each object, defect or anomaly they are aiming to detect. This creates a huge roadblock for producing quick, off the shelf or domain specific customized segmentation models.
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