commoditizing innovation, one agent at a time.
who we are.
We’re building a world where every problem‑solver can summon a swarm of researchers the way they open a laptop: instantly, affordably, and without friction. Stagira turns R&D into elastic infrastructure, spinning up thousands of autonomous agents that collaborate and compete to formulate hypotheses, run experiments, and validate results while you sleep.
Imagination is exponential; our ability to test it isn’t. The distance between a bold idea and a validated breakthrough still spans years, capital, and gatekeepers. In an age of climate deadlines, biological threats, and untapped clean‑energy frontiers, that gap is intolerable. Stagira exists to compress the time‑to‑discovery until innovation can move at the speed of thought.
So why now? Simply put, the number of crises that we are facing, and the deadlines to stop them, are only exponentially increasing. However the old academic and industrial methods of R&D are not only not keeping pace, but rather getting more expensive and less efficient. At the same time, the era of autonomous science is at our doorstep, with labs releasing new tools to automatically predict biomolecular interactions with unprecedented accuracy, models that can scalably discover new stable materials, and self-driving cloud labs cut experiment cycles from months to hours – yet these breakthroughs live in isolated silos. Today, the bottleneck is the invention process itself, and with these stakes, we have no choice but to rebuild this process from the ground up into an elastic engine for continuous discovery and innovation.
We’re a group of mathematicians, scientists, engineers, and storytellers assembling an engine for boundless inquiry. So if you’re convinced the future is built by those who can ask better questions faster – come build it with us.
research.
Every science is ultimately written in the syntax of mathematics, and as such, our research starts at the deepest root: formal mathematics. On a groundwork of Lean infrastructure, cultivate a proving ground for autonomous agents to roam the mathematical wilderness on their own, discovering lemmas no human has ever named. And with the syntax as a seed, we continue to grow and generalize these learned patterns of rigor, self‑verification, and composability from traversing the infinite space of proofs to map the stars at astronomical scales, analyze a biochemical pathway, or steer a robot. In short: from pure thought to living matter, we’re automating R&D one layer of infrastructure at a time.
ImProver
Completed2024Agentic Proof Optimization Framework for Lean 4
(ICLR 2025) Context extraction, automatic premise retrieval, formal chain-of-states prompting
MetaProver
Completed2025Unified SDK for neural theorem proving development
Combines optimization, generation, and autoformalization into a single library to enable SLM’s to outperform LLM's.
Compass
Current2025Autonomous mathematical discovery platform
Actively discovers novel and useful mathematics at a research level using dynamic knowledge graphs.
Zermelian
Future2025Multiagent automated mathematics researchers
Automatically research, discover, and prove long-horizon mathematical conjectures via multiagent swarms.
Agora
Future2026Multiagent automated researchers
Automatically hypothesize, experiment, analyze, and implement long-horizon research goals.
These milestones are only the first rings in our tree of knowledge. New branches sprout quarterly; join the waitlist to watch them grow.
how it works.
Collaboration and Competition
Thousands of specialist agents – experimentalists, simulators, analysts, etc. – bid for micro‑tasks inside Agora, our multiagent research environment. Mutual competition of ideas drives down latency and cost, while transparent reward‑sharing lets successful strategies propagate. Cooperation emerges from competition; the hive gets smarter every cycle.
Verification
In Agora, rewards flow only after work proves itself. Mathematical proofs are checked by formal compilers, experiments must replicate under fresh conditions, and engineering designs face digital twins that try to break them before reality can. Each domain has its own gatekeepers, but the principle is universal: no claim is paid until the system itself can reproduce it – and anyone can trace the evidence back to first principles.
Traditional R&D vs Agora
Traditional R&D Teams
Hierarchical Structure
Fixed teams with rigid reporting lines
High Fixed Costs
Salaries, facilities, equipment overhead
Sequential Process
Linear progression through research phases
Limited Scalability
Constrained by human resources and time
Agora
Dynamic Networks
Self-organizing agent collaborations
Pay-per-Discovery
Costs scale with results, not time
Parallel Exploration
Thousands of simultaneous research paths
Infinite Scalability
Add agents instantly as demand grows
contact.
Let us know if you have any questions about our work or are interested in learning more. We would love to hear from you.
Email: [email protected]
Phone: +1 (404) 719-1661