Consulting

Consulting

Responsible AI Consulting: Balancing Innovation with Responsibility

Responsible AI Consulting: Balancing Innovation with Responsibility

Our Expertise

Our Expertise

  • Participated in OpenAI's red teaming efforts and Anthropic's safety program.

  • Participated in the pre-training and post-training of LLMs like Jais and LLM360, and led safety and evaluation efforts.

  • Created widely used evaluation standards in academia and industry, such as CMMLU, Libra-Leaderboard, and Do-Not-Answer.

Participated in OpenAI's red teaming efforts and Anthropic's safety program.

Participated in the pre-training and post-training of LLMs like Jais and LLM360, and led safety and evaluation efforts.

Created widely used evaluation standards in academia and industry, such as CMMLU, Libra-Leaderboard, and Do-Not-Answer.

Our Services

Our Services

Strategy

We provide ongoing guidance through regular meetings, internal tools, and asynchronous support.

  • Address AI system challenges: safety, quality, hallucination.

  • Implement cutting-edge techniques, including pre-training, post-training, adaptation, evaluations and adversarial testing.

  • Align your AI systems with safety standards and compliance guidelines.

Strategy

We provide ongoing guidance through regular meetings, internal tools, and asynchronous support.

Address AI system challenges: safety, quality, hallucination.

Implement cutting-edge techniques, including pre-training, post-training, adaptation, evaluations and adversarial testing.

Align your AI systems with safety standards and compliance guidelines.

Implementation

We also offer hands-on solutions with our in-house engineering team.

  • Data: Design and curate high-quality, domain-specific, and culture-aware datasets to improve model accuracy and reliability.

  • Model: Develop and optimize models through pre-training, post-training, fine-tuning, and quantization.

  • Application: Implement prompt engineering, agentic workflow, and debug issues to meet your performance and responsibility goals.

  • Evaluation & Observability: Develop evaluation systems and observability tools to continuously monitor, test, and validate model safety and performance.

  • Tools & Infrastructure: Build custom tools and scalable infrastructure to streamline your AI workflows and ensure consistent execution.

Implementation

We also offer hands-on solutions with our in-house engineering team.

Data: Design and curate high-quality, domain-specific, and culture-aware datasets to improve model accuracy and reliability.

Model: Develop and optimize models through pre-training, post-training, fine-tuning, and quantization.

Application: Implement prompt engineering, agentic workflow, and debug issues to meet your performance and responsibility goals.

Evaluation & Observability: Develop evaluation systems and observability tools to continuously monitor, test, and validate model safety and performance.

Tools & Infrastructure: Build custom tools and scalable infrastructure to streamline your AI workflows and ensure consistent execution.

Pricing

Pricing

Our minimum engagement starts at $10,000, with pricing tailored to your project’s scope and outcomes.

Our minimum engagement starts at $10,000, with pricing tailored to your project’s scope and outcomes.

Get Started

Get Started

Contact us at consulting@librai.tech with any questions. Let us help you build AI systems that are as safe as they are powerful.

Contact us at consulting@librai.tech with any questions. Let us help you build AI systems that are as safe as they are powerful.

Looking to enhance the safety of your AI system?

Looking to enhance the safety of your AI system?

Looking to enhance the safety of your AI system?

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