
Every AI model. One key. Zero markup.
That’s the starting point. The bigger ambition: help companies turn their AI traffic into better models they own
Silen Naihin helped grow AutoGPT to 160,000 GitHub stars. Now, at Experiential Labs, he’s working to bring model access, evaluation and training into one unified experience.
The open-source gateway gives companies control over model access. From there, the team is building simulations around their traffic to understand different workloads and recommend models based on three things: cost, quality and speed.
The goal goes beyond choosing a model. It’s helping companies evaluate performance and train specialized models around their own work when they need them.
Silen expects agents to do most of the work. So the product has to serve both: humans who need to understand what’s happening and agents that need to use it.
Start with access. Build toward ownership.
"The open source AI gateway. Hosted providers, your own keys, and your own GPUs behind one endpoint, at the provider's price."
🎙️Silen Naihin, CTO & Co-Founder, Experiential Labs on Fondo START
02:51 Going off the beaten path: TKS, Minerva & dropping out
03:37 Getting into YC & the research behind Experiential Labs
05:00 From 8 H100s and continual learning to building a company
05:58 Why every company will become an AI company
06:42 Cost, quality & speed: the “holy trinity” of AI models
07:00 When fine-tuning beats prompting
08:14 What happens when powerful AI gets incredibly cheap
09:00 Why the future could be a model—or LoRA—per customer
10:00 Open-source models get the tokens; closed models get the spend
10:27 Jevons paradox, DeepSeek & exploding AI usage
11:06 Why OpenAI and Anthropic aren’t the next Yahoo
13:05 Experiential Labs’ bigger vision beyond the AI gateway
13:45 Building AI infrastructure for humans and agents
14:01 Optimizing models across cost, quality & speed
Check out experientiallabs.ai