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
Expand To See Our 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.