Archipelo develops Salmon — Execution Verification Infrastructure for establishing cryptographically verifiable execution history and state lineage across agents, humans, and automation.
Autonomous software requires verifiable execution history.


Why Archipelo exists
The infrastructure beneath it must evolve with it.
Software has historically evolved around human-directed execution. Today, autonomous agents, tools, runtimes, and controllers increasingly perform consequential actions themselves.
Archipelo develops infrastructure that makes autonomous multi-actor software execution independently verifiable — enabling more transparent, accountable, and reliable autonomous systems.
The missing property
As software execution becomes autonomous and multi-actor, the resulting state alone cannot show which execution occurred, in what order, or how each state transition derived from the ones before it.
Software already depends on durable history. Git demonstrates the value of persistent, linked source code history. Execution Verification Infrastructure addresses a different problem: establishing a verifiable record of state transitions and the resulting state.
What we're building
As autonomous software actors become increasingly responsible for consequential execution — durable and independently verifiable execution history becomes foundational infrastructure for systems that investigate, evaluate, govern, and depend upon that execution.
Consequential execution
Execution evidence
Execution record
Execution is represented as a cryptographically signed event with explicit context. The event records the actor, the action, the state before and after, and the predecessor it links to. Each one can be verified and read in sequence.
Where execution history can be captured during supported execution, downstream systems should not be forced to establish it solely through retrospective inference.
Representative execution event
{
"actor": "agent-a1a",
"action": "write",
"artifact": "src/auth/session.ts",
"state_before": "91d7a4e2...",
"state_after": "a4e8c1f9...",
"predecessor": "04f7a2e1...",
"timestamp": "2026-09-13T14:32:08Z",
"signature": "ed25519:3a...",
"status": "verified"
}The unique value of execution history
Different properties. Different questions. Execution Verification completes the picture.
Where it applies
Wherever supported autonomous software execution changes consequential state — preserving a verifiable execution record becomes a foundational systems requirement.
Agent generated changes can involve delegated execution, tools, subprocesses and multiple state transitions. Execution history provides a durable record of supported execution relationships to verify outcomes.
During incident investigation, teams need to work backward from a consequential state change toward the execution associated with it, to determine what caused the outcome.
$ salmon lineage state:S4
What we don't know matters too
Salmon captures execution as it occurs upstream within supported environments, not downstream after the event has already taken place.
If execution continuity has not been established, Salmon does not visually or structurally manufacture it.
Archipelo and Salmon
Archipelo, Inc. is the company developing and stewarding Salmon. Salmon is the Execution Verification Infrastructure.
Developing and stewarding Salmon for verifiable autonomous software systems.
Cryptographically verifiable execution history for autonomous multi-actor systems.
Our team
Protocol architecture, distributed systems, infrastructure, AI systems, and cybersecurity.
Matthew Wise CEO & Protocol Architect
Jason Dusek CTO & Engineering Architect
Paul Calatayud, PhD CISO & Strategy
Jakub Jarzyński Senior Data Engineer
Christophe de Carvalho Senior Backend Engineer
Vasile Staver Senior Product Designer
Stan Kapusta Tech Program Manager
Alex Saifullin Product Manager
Kacper Skawinski Product LeadBacking


Andy Bechtolsheim Investor
Bill Tai Investor
Jure Leskovec Investor & Advisor Professor of Computer Science,
Stanford University
Dawn Song Advisor Professor of Computer Science,
UC Berkeley
Anima Anandkumar Investor Bren Professor of Computing at California Institute of TechnologyThe company
Archipelo is a deep tech company building foundational infrastructure for verifiable autonomous systems.