Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • LM-Kit.NET Reviews & Ratings
    29 Ratings
    Company Website
  • SCIKIQ Reviews & Ratings
    14 Ratings
    Company Website
  • Buildium Reviews & Ratings
    2,562 Ratings
    Company Website
  • RetailEdge Reviews & Ratings
    201 Ratings
    Company Website
  • TrustInSoft Analyzer Reviews & Ratings
    6 Ratings
    Company Website
  • ARGOS Identity Reviews & Ratings
    8 Ratings
    Company Website
  • kama.ai Reviews & Ratings
    9 Ratings
    Company Website
  • Denodo Reviews & Ratings
    388 Ratings
    Company Website
  • AnalyticsCreator Reviews & Ratings
    46 Ratings
    Company Website
  • Dialpad Support Reviews & Ratings
    1,607 Ratings
    Company Website

What is RDFox?

Oxford Semantic Technologies, founded by a trio of professors from the University of Oxford, has created RDFox, a premier knowledge graph and semantic reasoning engine, as a result of extensive studies in Knowledge Representation and Reasoning (KRR). This sophisticated AI reasoning engine mimics human reasoning, delivering remarkable capabilities that emphasize accuracy, veracity, and clarity. RDFox produces new insights exclusively from authenticated data, assuring that its results are firmly rooted in reality. Its distinctive incremental reasoning capability allows AI-driven consequences to be applied to the database in real-time as data is updated or introduced, thus removing the requirement for system restarts. This method also ensures that only relevant information is modified, which enhances efficiency by negating the need to reassess the entire dataset. Thanks to these groundbreaking features, RDFox is poised to significantly impact the evolution of AI applications, paving the way for more intelligent and responsive systems. The potential applications of RDFox across various industries could redefine how organizations leverage data for decision-making.

What is Abliterated Large V2?

Abliterated Large V2 is an advanced text-based reasoning model developed by Abliteration AI for cybersecurity analysis, autonomous AI agents, software development, and adversarial model evaluation. The model is based on Z.ai's GLM 5.3 architecture and has undergone weight-level modifications intended to reduce refusal behavior. This modification process, known as abliteration, changes internal model representations associated with rejecting certain requests rather than relying on prompt-based jailbreak techniques. Its one-million-token context window enables the processing of large software repositories, extensive technical documentation, security research materials, and long-running agent workflows. The model supports advanced code generation, debugging, technical reasoning, and multistep programming tasks requiring interaction with external tools. Cybersecurity applications include vulnerability analysis, authorized penetration testing, exploit research, security validation, and automated assessment of software weaknesses. AI safety researchers can use the model to evaluate agent behavior, test security boundaries, and examine how systems respond to adversarial scenarios. Native tool calling enables the model to interact with supported external applications, development environments, and automated testing infrastructure. Structured output functionality allows developers to generate machine-readable responses for integration with security tools and programmatic workflows. Abliterated Large V2 is hosted in FP8 precision and provides access through OpenAI-compatible chat completion and response endpoints, as well as an Anthropic-style messages interface. The model is available through Abliteration AI and third-party inference providers, with automatic prompt caching, configurable reasoning capabilities, and default zero-retention handling of API inputs and outputs.

Media

Media

Integrations Supported

AWS Marketplace
Google Sheets
JSON
Java
Microsoft Excel

Integrations Supported

Abliteration.ai
Venice.ai

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Version

Pricing Information

$3 per 1M tokens (input)
$3.00 per 1 million input tokens, $5.00 per 1 million output tokens, and $0.30 per 1 million cached input tokens

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Oxford Semantic Technologies

Company Location

United Kingdom

Company Website

www.oxfordsemantic.tech/rdfox

Company Facts

Organization Name

Abliteration.ai

Date Founded

2025

Company Location

United States

Company Website

abliteration.ai/

Categories and Features

Categories and Features

AI Models

Not specified

Large Language Models

Not specified

Popular Alternatives

Ferret Reviews & Ratings

Ferret

Apple

Popular Alternatives

Stardog Reviews & Ratings

Stardog

Stardog Union