Applied AI Consulting

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

Services

Strategy

We will advise you on:

  • LLM performance issues: (cost, quality, speed)
  • Evals, RAG, fine-tuning, and prompt engineering

We will provide your team with ongoing guidance through regular meetings.

Implementation

We also offer hands-on services:

  • Implementation: We will write production-ready code to accelerate your AI product development.
  • Model Optimization: We will implement domain-specific eval systems, fine-tune, prompt engineer and debug models to improve performance.
  • Tools and Infrastructure: We will build tools that enable you to execute consistently and quickly.

Pricing

Our minimum level of engagement typically start at $16,000. We customize our pricing based on expected outcomes.

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

Members of our team have worked with the following companies:

  • Limitless AI: Limitless AI is a personal memory assistant that helps you remember, organize, and navigate your life.
  • Raycast: Raycast is a blazingly fast, totally extendable launcher. It lets you complete tasks, calculate, share common links, and much more.
  • Tensorlake: Build Knowledge for LLMs from un-structured data
  • 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.
  • Answer.ai: Conduct research on new LLM applications and help with product strategy.
  • Axolotl: Hamel is a core contributor to axolotl, a library for efficient fine-tuning of LLMs.
  • Kay.ai: Retrieve relevant context from the semantic web for your LLM apps with fully hosted embeddings.
  • Modal Labs: Modal specializes in cloud functions, offering a platform for running generative AI models, large-scale batch jobs, and more.
  • Pydantic: Pydantic provides data validation and settings management using Python type annotations, enforcing type hints at runtime with user-friendly error handling.
  • 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.