Our Mission

Democratizing Scientific Discovery

We started this because we lived it.

As scientists, researchers, and engineers, we saw brilliant colleagues—people who could be curing diseases or discovering new machine learning algorithms—spend 80% of their time fighting with infrastructure, debugging code, or lost in literature.

This is a tragic waste of human potential.

Science was meant to be about curiosity—the thrill of asking "what if?"—not the grind of managing tools, environments, and experiments. We believe the pace of discovery should be limited only by our imagination, not by our infrastructure.

Eliminate friction, accelerate discovery

In computational science, our only limits should be our curiosity and the power of our processors. But in reality, we spend most of our time in the trenches:

• Wading through thousands of papers for a single insight
• Wasting weeks reproducing old code and environments
• Babysitting large-scale jobs that fail silently overnight
• Losing the big picture while stuck on tiny bugs

Our mission is simple: to eliminate this friction entirely.

We're building an AI-native research companion—a system that collaborates with you, not replaces you. It automates the tedious, the repetitive, and the complex, so you can focus on what truly matters: asking the next great question.

Real-world example: Reproducing LoRA results in one day

Reproducing LoRA results from Thinking Machines Lab in one day with no prior RL experience — now it's possible! 🤩

Here is the story of how Zechen Zhang, a physics PhD with no experience in RL & fine-tuning, was able to fine-tune an LLM with RL in 1 day using Orchestra Research by just prompting the agent with natural language. 💬

All he did was have a 20-minute conversation with the Orchestra agent to clarify the experiment workflow — and then let the agent write the code, set up the environment, provision the GPUs, and monitor the progress for a day.