We're a group of AI engineers led by Hamel Husain who help companies improve AI products with data-driven approaches. We're an engineer-only firm - no handwaiving or slide decks.
Here's what drives our approach:
- We establish systematic AI evaluation that's specific to your product & domain (because how else will you know if your AI is doing anything useful?)
- We're data-obsessed and pragmatic. We teach you processes that have worked across more than 30 AI implementations.
- We've developed methods to make sure your AI can provide business value and produce results you trust.
Here's something different about us: we don't want you to have a long-term dependency on us. We're not here to pitch you on new models, frameworks, or expensive infrastructure. We are here to teach you methods to experiment faster and systematically improve your systems, regardless of your domain or use-case.
We don't chase recurring revenue or sell maintenance contracts - we think that creates perverse incentives. Instead, we work alongside your team, transfer knowledge, and build capabilities so that when we leave, you have:
- The skills to evaluate your AI systems.
- Processes for continuous improvement.
- Systems that save you time and resources by objectively surfacing the highest impact issues.
- The ability to select the best tools, vendors and frameworks while minimizing complexity.
- Independence from consultants (including us!).
You can read testimonials from our clients here.
- 🌐 parlance-labs.com - More about what we do
- 📝 hamel.dev - Hamel's blog with deeper technical dives
- 🐦 @HamelHusain - Hamel's Twitter/X where he posts about AI, data, and occasionally rants about LLM frameworks