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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
Neatlogs serves as a collaborative platform for debugging and enhancing AI reliability, equipping your team with all the necessary tools to effectively identify, comprehend, and resolve issues related to AI agents.
Today, you can accomplish the following tasks:
- Trace and replay: Observe your agent's actions in a detailed, step-by-step manner.
- Detect failures: Automatically identify and flag issues in traces using various conditions, patterns, and classifiers.
- Investigate: Utilize Neat AI to analyze runs and convert its insights into actionable fixes.
- Evals: Direct traces to either human or AI reviewers to assess quality over time.
- Experiment: Create versions of prompts, implement changes, and assess their performance against designated datasets.
- Fix: Examine AI-generated solutions and send them to your coding agent for implementation.
- Connect your tools: Integrate your applications through Tools and MCPs, allowing Copilot and Neat Agent to operate on your behalf.
- Track production: Keep an eye on costs, latency, error rates, tools, and detection trends across all your traces.
In contrast to other tools that cater solely to technical users, Neatlogs is designed to be user-friendly and easily comprehensible, ensuring that team members from various backgrounds can effectively engage with the platform. This approach empowers diverse teams to collaborate seamlessly in optimizing their AI systems.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
GitHub
Gmail
Google Drive
Google Sheets
GraphQL
JSON
Langfuse
Meta AI
Notion
OpenAI
Integrations
GitHub
Gmail
Google Drive
Google Sheets
GraphQL
JSON
Langfuse
Meta AI
Notion
OpenAI
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
neatlogs
Country
India
Website
neatlogs.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