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Founder

Brandon Barrante

Brandon Barrante is the founder of Aether AI LLC (Aether Systems), a Florida AI company. He is the builder behind Aether's connected product family for intelligent work, orchestration, security, financial systems, deterministic execution, and verification.

Work

Aether started from one position: important AI work should produce evidence, not rely on a model saying it succeeded. Brandon designed and built Aether's connected workspaces, agent orchestration, deterministic execution, and verification systems. Aether's security and quantum/classical research informs this work, but research goals are separate from verified product capabilities.

Selected work

  • AetherCloud — native workspace for agents, projects, workflows, connected tools, and signed proof.
  • Aether Actions — exact-commit hosted execution and locked assurance workflows.
  • Nano — deterministic strategy language, validated IR, and an open strategy library.
  • Protocol-C — zero-cost classical commitment infrastructure; open-sourced as aether-protocol-c.
  • aether-context — open-source engine giving local LLMs billion-token reach via encode-and-page.
  • Aether ATS — autonomous AI trading engine, private beta.

Building Aether

Aether's early Cloud and Predator work centered on secure developer infrastructure and authorized security workflows. The Protocol family explores classical commitments, quantum-authenticated commitments and enclave attestation. The product family has expanded into Chat, Code, Design, Cloud, Agent, Online and Actions, supported by orchestration and usage accounting.

Explore Aether AI products · Platform & API · Universal Value Tokens

Security and quantum/classical research

Predator Live / Predator-L concerns scoped, authorized engagement and security analysis. Predator / Crucible research instead investigates code assurance, vulnerability and bug separation, program repair, and matched classical-versus-quantum feedback experiments. These are related research and product threads, not interchangeable products.

Quantum-guided feedback is an experimental question, not an established computational advantage. Public claims must stay within bounded experiments, native verification and reproducible evidence. Read the research boundaries.