Applied AI Consulting

We are experienced AI Engineers who have built AI products at leading tech companies.

Services

Education

We offer workshops on LLM performance issues, evals, and fine-tuning. Currently, we are teaching a course on how to Conistently Improve Any AI Application With Evals.

Strategy

We will advise you on:

  • LLM performance issues: (cost, quality, speed)
  • Evals, RAG, fine-tuning, and prompt engineering
  • Vendor selection and integration
  • AI product development and engineering

We will provide your team with ongoing guidance through regular meetings and contiouous async access.

Customized Services

Can’t find what you need? We can customize our services to your needs. Some examples include:

  • Evaluating AI tools and platforms. We will carefully review your docs, upload real data (with permission) to your product, and provide detailed feedback.
  • Debugging specific issues with your AI application.

Pricing

Our minimum level of engagement starts at $18,500. We customize our pricing based on expected outcomes. If this is out of your budget, see our education options.

Fill out this form to book a meeting with us to get started. You can also contact us at consulting@parlance-labs.com with any questions.

Testimonials

We helped Rechat build Lucy, a conversational AI for real estate agents:

You can see more testimonials here.

Current & Past Clients

Our Clients

We are currently working with or have worked with the following companies:

  • Answer.ai: R&D centered on rapid development of LLM applications, centered on building better developer tools, frameworks, and more.
  • Moovila: AI-driven project automation.
  • Phenom: Talent management and HR platform with AI-powered tools for candidates and recruiters.
  • SonderMind: AI-powered mental health platform.
  • NurtureBoss: AI-Assisted property management platform.
  • Matter And Space: Ed-tech platform and university re-imagining the future of education.
  • Replicate: development of fine-tuning serverless infrastructure using axolotl and optimized LLM inference.
  • Weights & Biases: Provide product guidance for evaluation, annotation, and observability.
  • Honeycomb: Currently improving the natural language query assistant through evaluation systems and fine-tuning.
  • LangChain/LangSmith: provided product guidance for enterprise LLM tools.
  • Modal: Serverless tools for fine-tuning.
  • Rechat: We are working on Lucy, a conversational AI for real estate agents. You can read about my recent work on Rechat here.
  • Axolotl: Hamel is a core contributor to axolotl, a library for efficient fine-tuning of LLMs.
  • Modal Labs: Modal specializes in cloud functions, offering a platform for running generative AI models, large-scale batch jobs, and more.
  • Posit: Helped Posit expand into the Python AI and ML ecosystem.
  • Catena: LLM infrastructure such as routing, evaluation, and orchestration.
  • Arize AI: We are helping Arize with LLM observability and evaluation tools.
  • dbt Labs: Helping dbt build natural language to SQL interfaces, data analysis/engineering co-pilots, and more.
  • Radiant AI: We helped the Radiant team accelerate the development of their LLM observability platform.