UpLift AI
Who Is the Company Behind UpLift AI?
- Seller: UpLift AI
- Year Founded: 2017
- HQ Location: Palo Alto, US
-
LinkedIn® Page: www.linkedin.com
20 employees on LinkedIn®
Total Products under this Category: 823
Last updated: November 01, 2026
Why You Can Trust G2's Software Rankings:
G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

Highlighted products: Claude, Google Cloud Vision API, Video AI, Roboflow, Microsoft Computer Vision API, Tractable, Deepdream, and Amazon Rekognition.
Underlying data: [Grid® JSON](https://www.g2.com/categories/image-recognition/grids.json?focus%5B%5D=claude&focus%5B%5D=google-cloud-vision-api&focus%5B%5D=video-ai&focus%5B%5D=roboflow&focus%5B%5D=microsoft-computer-vision-api&focus%5B%5D=tractable&focus%5B%5D=deepdream&focus%5B%5D=amazon-rekognition)
Connect G2 to Claude or ChatGPT for answers grounded in G2's trusted reviews, comparisons, and pricing from real user insights.
V7 Darwin is a specialized AI platform for creating high-quality training data and managing annotation workflows. It is engineered for teams building sophisticated computer vision models and solving complex, domain-specific challenges with AI. V7 Darwin provides a comprehensive suite of tools for data labeling, video annotation, and medical imaging annotation. - Create pixel-perfect image and video annotations with Auto-Annotate and SAM for semantic masks, instance segmentation, keypoints, and polygons. - Develop medical AI with tools for DICOM, NIfTI, and WSI annotation, featuring an interface with MPR, 3D rendering, precise crosshairs, windowing, and oblique views. - Accelerate video annotation by up to 10x with AI-assisted auto-tracking for objects across frames. - Manage long videos, multi-camera views, and nested annotation classes. - Design multi-stage review workflows with conditional logic, consensus, and task assignment for your data labeling pipeline. - Organize, filter, and manage large datasets with custom views and tags, enabling real-time team collaboration for annotators, reviewers, and ML engineers. - Scale your annotation projects with professional data labeling services, including certified annotators and experts in various domains (medical, video, LLMs, scientific). You can seamlessly integrate V7 Darwin with your existing tech stack and import/export annotations with ease. Get complete control over your models, tasks, and datasets through the open API, Darwin-py SDK, and CLI.
Average Rating: 4.7/5.0
Total Reviews: 55
AI-generated summary from verified user reviews
"Easy Video Annotation and Predictive Labeling for Massive Datasets"
Rating: 4.5/5.0 stars
— Jed D.
"Comprehensive HRMS for End-to-End Employee Lifecycle Management"
Rating: 4.0/5.0 stars
— Shiv S.
Vara AI is a CE-certified (Class IIb) artificial intelligence platform designed to enhance breast cancer screening by assisting radiologists in detecting cancers earlier and with greater confidence. By integrating seamlessly into existing workflows, Vara AI combines human expertise with AI's speed and consistency to transform breast imaging practices. Key Features and Functionality: - AI-Assisted Triage: Vara AI pre-screens mammograms, identifying normal cases with high confidence, allowing radiologists to focus on complex and high-risk reads. - Safety Net: The platform runs in the background on every case, flagging potentially missed findings so radiologists can take a second look before it's too late. - Automated Reporting: For unremarkable exams, Vara AI generates pre-filled structured reports, streamlining the reporting process and reducing manual workload. - Seamless Integration: Vara AI integrates directly into existing Picture Archiving and Communication Systems (PACS) via API, ensuring efficient workflow integration without disrupting current practices. - Continuous Monitoring and Evaluation: The platform offers configurable thresholds, continuous performance tracking, and quarterly outcome reviews to ensure alignment with clinical priorities over time. Primary Value and User Solutions: Vara AI addresses the challenges faced by radiologists and screening programs by enhancing the accuracy and efficiency of breast cancer detection. By automating routine tasks and providing a safety net for missed findings, it reduces the cognitive load on radiologists, allowing them to concentrate on complex cases. This leads to earlier cancer detection, improved patient outcomes, and optimized resource utilization within screening programs. Additionally, Vara AI's transparent and configurable system supports policymakers and health authorities in maintaining high standards of care and accountability at a national scale.
Velora Labs is a Canadian company specializing in computer vision and edge AI solutions for mission-critical applications in defense, medical devices, and autonomous systems. With a track record of production deployments since 2015, Velora Labs combines deep technical expertise with a focus on delivering reliable, real-world results. Key Features and Functionality: - Co-Development Partnerships: Collaborates with clients to develop advanced computer vision capabilities, offering expertise in GPS-denied navigation, sensor fusion, and edge AI optimization. - Custom Computer Vision Engineering: Provides end-to-end development services, from proof-of-concept to production, ensuring solutions meet stringent regulatory standards such as FDA and defense requirements. - Edge AI Optimization: Enhances model performance through techniques like model compression and hardware-specific acceleration, achieving significant speed improvements while maintaining accuracy. - Proprietary AI Infrastructure: Utilizes the Velflow Framework to streamline the development and deployment of computer vision systems, offering rapid prototyping and hardware-agnostic deployment capabilities. Primary Value and Solutions: Velora Labs addresses complex computer vision challenges where conventional methods are insufficient. By offering specialized expertise and production-proven solutions, the company enables clients to integrate advanced AI capabilities into their platforms, ensuring reliability and compliance with industry standards. This approach is particularly beneficial for applications requiring high precision and dependability, such as surgical devices, defense systems, and autonomous vehicles.
Verdict Capture is an AI-powered photo verification platform designed for enterprises that need real-time visual compliance and inspection at scale. Process images directly on device in under 200ms with no cloud latency, no internet required for inference, and full privacy protection (zero data transmission). Used for micromobility parking compliance, last-mile proof-of-delivery, 360-degree vehicle damage detection, and asset condition monitoring. Key capabilities include semantic scene understanding (objects, surfaces, hazards), policy-as-code for complex regulations, built-in fraud detection (replay attacks, off-property submissions, manipulated photos), real-time analytics dashboard, and continuous ML model retraining as your policies evolve. Enterprise-grade compliance: SOC 2 Type II certified, GDPR and CCPA compliant, on-device image processing ensuring zero data transmission to external servers. 50M+ verifications processed with 99.2% accuracy and ~80% cost savings versus traditional cloud-based verification competitors. Pricing: $0.008 per verification with automatic volume tier discounts; no monthly minimums, no annual contracts, no per-seat fees. Free sandbox tier for development and integration.
Veritone Redact is an AI-powered, cloud-based software that systematically detects personally identifiable information (PII) and enables users to manually define other sensitive imagery and objects within a scene, then automatically redacts this information from audio, video and image-based evidence. By leveraging Redact, public safety and law enforcement agencies can automate the redaction of sensitive information to save time, reduce costs and increase productivity.
VGG Image Search Engine is an open source project developed at the Visual Geometry Group and released under the BSD-2 clause license.