Fluxdyne
Fluxdyne gives AI agents and automated systems live, source-backed information with provenance, freshness, verification and evidence receipts.
The problem
The moment software moves from answering questions to taking actions, the question changes from "what does the model know" to "what evidence supported this decision".
Training data has a cutoff. A system acting on the world needs to know what is true now, not what was true when the model was built.
Ranked links are not evidence. Machine decisions need information tied to a named source, not to whatever surfaced first.
When an automated action is questioned later, the inputs it relied on must still exist, unchanged, with their timestamps and origins intact.
Regulated organisations cannot adopt automated decision-making they cannot explain, attribute and review.
Platform
Seven capabilities, one purpose: every machine decision can show its working.
Current readings from external sources, served with integrity checks applied at response time, so automated systems act on what is happening rather than on what was cached.
Every datapoint names its publisher and licence. Attribution travels with the data.
Age and observation time on every response, so consumers can tell live from stale.
Signed records preserving what a decision relied on, verifiable independently later.
Independent sources compared side by side, disagreements surfaced rather than hidden.
Append-only archives of served evidence, retained for later review and discovery.
Evidence laid out in full so a person can review high-consequence decisions before acting on them.
Products
Live, verifiable real-world data for AI agents, enterprise systems and government workflows. Every response is signed, source-attributed and independently verifiable.
Solutions
Enterprise copilots and decision systems inherit the liability of their inputs. Fluxdyne attaches source, licence, freshness and verification state to the data those systems consume, so risk and audit teams can trace any output back to what informed it.
Public-sector automation is held to a higher standard of explainability. Evidence receipts preserve what a workflow relied on at the moment it acted, supporting administrative review, records obligations and public accountability.
Agents act at machine speed on information they did not create. Fluxdyne gives them a data layer that is current, attributed and cryptographically signed, over the same protocols agents already speak.
Robots, fleets and industrial systems act on external conditions. When an action is questioned, the evidence of those conditions, as observed at decision time, should still exist, timestamped and intact.
Design partners
We invite enterprise and government organisations to participate in focused design partnerships built around one production workflow: one decision your systems make that deserves evidence behind it. Partnerships are asynchronous, demo-led and scoped in weeks, not quarters.
Sovereign capability
Fluxdyne is an Australian company building evidence infrastructure with global reach.
Company
Fluxdyne is building infrastructure that helps machines understand what is current, where it came from and what evidence supported a decision. We believe the next layer of the AI stack is not a bigger model. It is the layer that lets automated decisions be examined, attributed and answered for.
