UbiOps
vs
UbiAI
UbiOps
UbiOps is a platform designed to streamline the deployment and management of AI models across diverse environments. It supports local, hybrid, and multi-cloud setups, enabling organizations to maintain control over their compute costs, comply with AI regulations, and avoid vendor lock-in.
The platform provides a turn-key solution for AI and IT teams, offering built-in MLOps and orchestration features. These include API management, version control, scaling algorithms, monitoring, auditing, resource prioritization, security, and access management. UbiOps accelerates the transition from AI pilot projects to fully functional AI applications, supporting a wide range of models, from LLMs to computer vision and traditional data science models.
UbiAI
UbiAI provides a comprehensive platform for businesses to develop and deploy custom AI models. The platform supports the entire workflow, from creating training data with intuitive annotation tools and Optical Character Recognition (OCR) technology to fine-tuning Large Language Models (LLMs) and deploying them via a secure API.
UbiAI streamlines the process of building AI solutions, significantly reduces labeling time, and allows to achieve higher accuracy while maintaining data confidentiality. It supports various document types and offers features like auto-labeling and continuous model evaluation, ensuring optimized performance.
UbiOps
Pricing
UbiAI
Pricing
UbiOps
Features
- API Management: Manage and control access to AI models through a centralized API.
- Version Control: Track and manage different versions of AI models.
- Scaling Algorithms: Automatically scale AI workloads based on demand.
- Monitoring: Monitor the performance and health of deployed AI models.
- Auditing: Track and log all activities related to AI model deployment and management.
- Resource Prioritization: Prioritize compute resources for critical AI workloads.
- Security: Secure your models.
- Access Management: Control user access and permissions.
UbiAI
Features
- Text Annotation: Easily create training data with an intuitive interface.
- OCR Annotation: Label documents, including PDFs and images, with OCR technology.
- Auto-Labeling: Automate labeling with AI assistance to accelerate data preparation.
- LLM Fine-Tuning: Customize LLMs like Llama, Mistral, and GPT-4o for specific tasks.
- Model Evaluation: Track and optimize model performance with automated evaluations.
- API Deployment: Integrate custom language models via a ready-to-use API endpoint.
- Team Collaboration: Facilitate teamwork with features for sharing and managing annotations.
- Multi-lingual Annotation: Supports over 20 languages for diverse data needs.
- Document Classification: Categorize documents efficiently.
- Named Entity Recognition (NER): Identify and classify entities within text.
UbiOps
Use cases
- Deploying generative AI models across hybrid cloud environments.
- Scaling computer vision workloads on demand.
- Managing time series analysis models in a multi-cloud setup.
- Centralized AI management to prevent shadow IT.
- Running AI workloads in compliance with industry regulations.
- Optimizing compute costs for AI applications.
UbiAI
Use cases
- Semantic analysis for fraud detection in the financial industry.
- Text classification for claim processing in the insurance industry.
- Training chatbots and virtual assistants in the technology industry.
- Shortening diagnosis and treatment times in the healthcare industry.
- Semantic search and analysis for legal professionals.
- Creating training data for machine learning.
- Fine-tuning custom AI models.
UbiOps
Uptime Monitor
Average Uptime
99.84%
Average Response Time
424.5 ms
Last 30 Days
UbiAI
Uptime Monitor
Average Uptime
99.9%
Average Response Time
2136.23 ms
Last 30 Days
UbiOps
UbiAI
