Custom Workflow Automations for Highly Regulated Businesses
Tennr makes it easy for non-technical teammates to build, launch and monitor advanced custom workflow automations that make their business scalable.
Jobs at Tennr
Active Founders
Trey Holterman
Former All-American rower, Computer science major and TA before going to work as a Software engineer at Strava. Left Strava to start a company with my former teammate Diego and former roommate Tyler. Outside of work, (pre-startup) I did standup whenever I had time
Diego Baugh
Built cool things in undergrad. Then discovered a love for design — turns out I generally like the process of finding patterns — helps me in work and in poker. Also, software should probably be less painful to use than it is ;) Rowed in college, now living in NYC.
Tyler Johnson
Tyler is the co-founder and CTO at Tennr. He met his co-founders, Trey and Diego, while studying at Stanford, and spent a year working in technical consulting before leaving to work with them. A dedicated midwesterner, he lives in Wisconsin with a lot of dogs!
Company Launches
Hi everyone, we’re Tyler, Diego and Trey — the team behind Tennr!
TL;DR We’re making it easy for non-technical businesses to bring custom, fine-tuned LLMs into their business.
🧐 The problem
Today, teams choose between using simple, ChatGPT-based AI use-cases or investing heavily in their own ML teams to build their own models.
If you’re building an LLM from scratch, you have to:
- Find clean, expansive data
- Generate thousands of prompt-response pairs
- Use RLHF to improve outputs
- Host your own GPUs
- Build your own analytics
Engineers and IT teams need to stay focused on their core functionality and can’t risk 6 month long dev projects that might not even result in a well-performing LLM.
💡 Our solution
Tennr is a platform that makes it easy to train, tune, and deploy custom Large Language models without needing support from engineering.
💥 How it works
We use proprietary techniques to turn a company’s document set into clean data that can train an LLM. Then, leveraging open source foundational models, Tennr automatically fine-tunes to support your ideal use-case. Finally, through Tennr, non-technical teammates can improve responses, make corrections, and monitor how their LLM is being used.
📚 Our backstory
Trey, Diego, and Tyler all met at Stanford.
- Diego and Trey competed together for 4 years on the varsity crew team.
- Tyler and Trey met as freshman roommates where they started an iOS consulting firm to get better at building apps
- All 3 studied Computer Science and focused on AI, design, and systems.
❤️ Our ask
- If you lead a business looking for a more custom AI solution and want to see Tennr in action, grab time on our site!
- If you like what we are building, share and upvote!