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Description
Introducing a comprehensive managed PaaS that features a low-code visual builder, VectorDB, along with integrations for various applications and models, designed for the creation, testing, and deployment of high-performance AI applications on the edge. This solution eliminates inefficient and error-prone tasks, allowing users to simply drag and drop models, applications, data, and agents to discover the most effective combinations. You can deploy solutions in less than 60 seconds while significantly reducing latency. The platform supports seamless observation, testing, and iteration processes, ensuring that you maintain visibility and utilize tools that guarantee precision and dependability. Make informed, data-driven decisions with detailed reports on requests, LLM interactions, and usage analytics, while also accessing real-time traces by node. The experimentation feature simplifies the optimization of various elements, including embeddings, prompts, and models, ensuring continuous enhancement. This platform provides everything necessary to launch and iterate at scale, backed by a vibrant community of innovative builders who share valuable insights and experiences. The collective effort distills the most effective tips and techniques for developing AI applications, resulting in an elegant solution that enables the creation of agentic systems with the efficiency of a large team. Furthermore, its intuitive and user-friendly interface fosters seamless collaboration and management of AI applications, making it accessible for everyone involved.
Description
Effortlessly create and oversee AI applications without transferring your data through intricate pipelines or specialized vector databases. You can seamlessly connect AI and vector search directly with your existing database, allowing for real-time inference and model training. With a single, scalable deployment of all your AI models and APIs, you will benefit from automatic updates as new data flows in without the hassle of managing an additional database or duplicating your data for vector search. SuperDuperDB facilitates vector search within your current database infrastructure. You can easily integrate and merge models from Sklearn, PyTorch, and HuggingFace alongside AI APIs like OpenAI, enabling the development of sophisticated AI applications and workflows. Moreover, all your AI models can be deployed to compute outputs (inference) directly in your datastore using straightforward Python commands, streamlining the entire process. This approach not only enhances efficiency but also reduces the complexity usually involved in managing multiple data sources.
API Access
Has API
API Access
Has API
Integrations
GitHub
Gmail
Google Drive
Google Sheets
GraphQL
Hugging Face
JSON
Langfuse
Meta AI
Notion
Integrations
GitHub
Gmail
Google Drive
Google Sheets
GraphQL
Hugging Face
JSON
Langfuse
Meta AI
Notion
Pricing Details
$100 per month
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Lamatic.ai
Founded
2023
Country
United States
Website
lamatic.ai/
Vendor Details
Company Name
SuperDuperDB
Website
superduperdb.com
Product Features
Low-Code Development
AI-Assisted Development
Business Process Automation
Collaborative Development
Data Aggregation and Publishing
Deployment Management
Drag & Drop
Integrations Management
Iteration Management
Performance Monitoring
Requirements Management
Templates
Visual Modeling
Web / Mobile App Development
Workflow Management
