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Atlas Labs prototypes in two-to-four-week cycles across four areas: autonomous agents, post-quantum cryptography, consensus mechanisms, and spatial computing. Each prototype either graduates into a production CC product or gets written up as a negative result. Both outcomes count.
Agents that improve from their own run history: codebase analysis, ticket execution, and cross-service orchestration that gets measurably better week over week.
Lattice- and hash-based signature schemes for smart contracts that should still be standing after practical quantum computers arrive.
Beyond proof-of-stake: energy-efficient, high-throughput consensus suitable for the ecosystem's own chains.
Gesture-based trading, 3D portfolio visualization, and immersive data exploration for AR glasses and the trading terminal.
Ideate. Candidates come from academic collaborators, ecosystem needs, and whatever looks newly possible. The bar for starting is low on purpose.
Prototype. Two to four weeks against real CC data and infrastructure. No mock environments; if it can't survive contact with production data, that's the finding.
Graduate or publish. Work that holds up ships into a production product with the team that built it. Work that doesn't becomes a published write-up so nobody pays for the same lesson twice.
| MIT | agent architectures and autonomous systems |
| Stanford | cryptographic primitives and post-quantum signatures |
| UC Berkeley | distributed consensus and blockchain scalability |
| CMU | spatial computing and human-computer interaction |
If your group works adjacent to any of these, . Platform access for collaborators runs through CC accounts (tiers).