StarNgage AI

Generative AI and machine translation platform for localization teams. Custom.MT is a generative AI and machine translation platform designed for localization teams. It offers services such as machine translation model fine-tuning, evaluation, on-premise machine translation, translation memory cleaning, language dataset acquisition, and AI training workshops. Products include an AI Translation Platform, custom translation portals, and plugins for Trados, Smartling, memoQ, and Shopware. Resources include a blog, case studies, events, webinars, and information on GenAI in localization and MT leaders.

A unified Gen-AI workstation for content creators with integrated AI models. OpenCreator is a unified Gen-AI workstation designed for content creators. It integrates various Gen-AI creative models into an intuitive interface, enabling users to produce high-quality content without switching between different models or managing multiple subscriptions. OpenCreator offers features like AI workflows, templates, and factory-priced AI models.

Automated AI data quality monitoring platform for enterprises. Anomalo provides an automated AI data quality software platform that helps enterprises continuously monitor their data for quality issues. It uses machine learning to detect anomalies, validate data accuracy, ensure data governance, and provide data observability. Anomalo's platform integrates with various data sources and offers a no-code UI for custom validation rules and KPI tracking, enabling quick resolution of data quality issues.

Abliteration.ai is an LLM provider for professional teams whose legitimate work gets blocked by the refusal behavior of other LLM providers. Security researchers, red teams, trust and safety teams, and ML engineers use it to run sensitive queries, test AI applications for jailbreaks and prompt injection, classify content, and generate synthetic training data at scale. Access is through OpenAI- and Anthropic-compatible APIs that serve models with refusal behavior reduced through abliteration. Your existing code keeps working after a one-line base-URL change. Control stays with you: you write the usage policy for each project, enforcement happens at the API layer with scoped keys, and every decision is logged with a reason code you can audit. A zero data retention option means prompts are processed and discarded, never stored and never used for training. A free tier is included so you can test the models before spending anything. Paid usage is per token, with prepaid credits that never expire and monthly plans from $20. Abliteration.ai is an LLM provider built for high-risk industries: cybersecurity, AI red teaming, trust and safety, synthetic data generation, healthcare research, and defense and government workflows. Access is through OpenAI- and Anthropic-compatible APIs, so existing code migrates with a one-line base-URL change. Most LLM providers tune their models for consumer chat, so they refuse exactly the prompts that professional teams need to run. A security engineer reproducing a CVE, a trust and safety analyst labeling coded harassment, an ML team generating jailbreak examples for an eval set: all of them hit the same wall. Abliteration.ai removes that wall by serving models with refusal behavior reduced through abliteration, while putting governance in your hands instead of the provider's. How it works: The core of the service is a chat completions API compatible with both the OpenAI and Anthropic formats. Point the OpenAI or Anthropic SDK, LangChain, LlamaIndex, or the Vercel AI SDK at the Abliteration.ai base URL and your existing code runs unchanged. The API supports streaming, image input (PNG, JPEG, WEBP, GIF up to 15 MB), document and image extraction, and an optional web search add-on billed per thousand searches. On top of inference sits the Policy Gateway. You write rules per project that decide which request categories are allowed, which are rewritten, which are refused, and what must be logged. Scoped API keys enforce those rules per workload, and every allow, rewrite, and refusal carries a reason code. Audit logs can stream into your SIEM, so compliance and governance reviewers get the paper trail they ask for. Shadow mode lets you test policy changes against live traffic before enforcing them, and per-user and per-project token quotas keep spend predictable. Privacy is configurable down to zero data retention: prompts and responses are processed in memory and discarded, never stored and never used for training. Pricing starts with a free tier for testing. After that, usage is pay-per-token with prepaid top-ups ($20, $100, $500, or custom amounts) that never expire, or monthly plans at $20, $50, and $200 with usage discounts of 2.5%, 5%, and 10%. Enterprise plans add dedicated throughput, custom routing, and volume pricing.

Unified API to route, manage, and analyze LLM requests. LLM Gateway is a platform that allows users to route, manage, and analyze their Large Language Model (LLM) requests across multiple providers using a unified API interface. It is fully open source and compatible with the OpenAI API format for seamless integration.

LLM API router aggregating various AI models with a unified OpenAI API. AiHubMix is an LLM API router and OpenAI API proxy that aggregates various models such as OpenAI, Google Gemini, DeepSeek, Llama, 阿里Qwen, Claude, 月之暗面, and cohere. It provides a unified OpenAI API standard for calling different models, supports the latest models, and offers unlimited concurrency. It aims to simplify AI model integration and make development more intelligent and efficient.