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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

ClaimHit is an innovative platform powered by AI that provides patent infringement intelligence, enabling patent holders, intellectual property attorneys, and corporate IP teams to conduct initial infringement screenings in approximately one minute. A standout feature of this platform is its multi-model consensus engine, which operates nine sophisticated AI models simultaneously—Claude Sonnet, Haiku (Anthropic), GPT-4o, GPT-4o Mini (OpenAI), Gemini 2.5 Flash Lite (Google), DeepSeek, Mistral, and Perplexity Sonar—each functioning independently and unaware of the outputs generated by the others. The findings from these models are synthesized through a distinctive four-factor scoring system, ensuring a comprehensive analysis. ClaimHit is adaptable for use across various fields, encourages collaborative efforts among teams, operates on a purely consumption-based pricing strategy, and features integration with MCP servers. Users can choose to generate AI Charts, which take about 90 seconds to complete, or they can request charts that have been manually vetted directly through the platform, providing flexibility in how they access the information. This combination of speed, accuracy, and user-friendly options makes ClaimHit a valuable tool in the realm of patent infringement.

Description

oMLX is an MLX server specifically designed for macOS, enhancing the efficiency and speed of local AI operations on Apple Silicon. It caters to the functional dynamics of coding agents by implementing paged SSD KV caching, which enables the persistence of cache blocks on disk; this means that previously accessed prefixes can be retrieved quickly across different requests and even after server restarts, thereby eliminating the need to recompute them from scratch. As a result, the time taken to generate the first token in lengthy contexts can be significantly reduced, dropping from a range of 30 to 90 seconds down to less than five seconds after the initial interaction. The server adeptly manages simultaneous requests through a continuous batching mechanism via mlx-lm’s BatchGenerator, which enhances overall generation throughput without requiring requests to queue up behind a single task. oMLX is capable of simultaneously serving a variety of models, including LLMs, vision-language models, embedding models, and rerankers, utilizing LRU eviction to manage memory constraints effectively. Furthermore, it is compatible with any MLX-format model sourced from Hugging Face, such as Qwen, LLaMA, Mistral, Gemma, DeepSeek, MiniMax, and GLM, and can also utilize models that are already present in the standard Hugging Face cache, directories associated with LM Studio, or any custom storage locations, ensuring a versatile user experience. This flexibility in model integration enhances the overall usability and practicality of oMLX for developers and researchers alike.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Anthropic
Claude Code
Cursor
DeepSeek
GLM-4.1V
Gemma
Gemma
GitHub
Hugging Face
JSON
LM Studio
Llama
MiniMax
Mistral AI
Model Context Protocol (MCP)
OpenAI
OpenClaw
Python
Qwen

Integrations

Anthropic
Claude Code
Cursor
DeepSeek
GLM-4.1V
Gemma
Gemma
GitHub
Hugging Face
JSON
LM Studio
Llama
MiniMax
Mistral AI
Model Context Protocol (MCP)
OpenAI
OpenClaw
Python
Qwen

Pricing Details

$199/scan
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

ClaimHit

Founded

2026

Country

India

Website

www.claimhit.com

Vendor Details

Company Name

oMLX

Country

United States

Website

omlx.ai/

Product Features

Intellectual Property Management

Deadline Management
Docket Management
Document Management
IP Portfolio Management
Information Disclosure Management
Patent Tracking
Renewal Management
Spend Management
Trademark Tracking

Product Features

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