Our architecture makes it hard for false narratives to survive over time.
Especially in a world where AI can make everything look perfect.
Claims are cheap. Capital is not.
At its core, EleaTek isn’t a product. It’s a control system for trust. We treat money movements as immutable facts, and impact claims as hypotheses that must survive over time.
What we’re building isn’t an audit tool or an AI system. It’s a control architecture that makes false narratives hard to sustain especially in a world where AI makes everything look perfect.
The EleaTek Trust Architecture
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Money Discipline: the enforcement layer
What it is
The system that controls how and when capital is released.How we design it
Capital is never released upfront. Every commitment is broken into tranches, each tied to explicit milestones. -
Evidence layer: structured claims, not stories
What it is
The layer where all proof enters the system.How we design it
Claims are never free text. Every claim must be structured and linked to:a specific tranche
a milestone
timestamps
geotags
financial references
supporting media or documents
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Immutable history: no rewriting the past
What it is
A forward-moving event timeline on the blockchain that records what happened, and in what order. Past states can be referenced but never revised.How we design it
Only critical system events are recorded:tranche commitments
tranche releases or pauses
cryptographic hashes of evidence packages
verification outcomes (including VolunTek inputs)
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AI as forensic assistant, not a judge.
What it is
The scalability engine.How we use AI
AI is strictly read-only and used to:detect inconsistencies
flag missing links
identify “too good to be true” patterns
prioritise where human verification matters most
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VolunTek Layer: Reality discipline and ground truth signals.
What it is
A distributed network of local, independent human verifiers.How we design it
VolunTeks are not inspectors and not judges. They are sensors. They provide:Geo-verified, time-stamped photos and videos
structured checklists
contextual observations where relevant
Their inputs become events in the system, just like financial actions.
AI can fake planted trees. A human on the ground can verify a tree.
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Explicit logic, no magic.
What it is
The rule layer that translates policy into action.How we design it
Clear, explicit rules define:minimum evidence required per tranche
when funding advances
when it pauses
when escalation is required
who has which authority, and when
Every decision produces:
an outcome (release / pause)
a rationale
a traceable path back to events
This is where the EleaTek system becomes defensible to investors, the projects, regulators, and sustained scrutiny over time.