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Comparison · Updated May 2026

GeraWitness vs Surge AI

Surge AI annotates training data with crowd workers. GeraWitness will review live AI-initiated transactions with trained, SLA-bound specialists — approving or halting agent actions before they affect real people. Surge operates before deployment; GeraWitness is planned to operate in production. Both are part of a complete AI safety stack.

At-a-glance comparison

DimensionGeraWitnessSurge AI
Primary use casePlanned runtime review of live AI-initiated transactionsTraining data annotation for ML teams
When usedPlanned: in production — live transaction pipelinePre-deployment — data labelling workflows
Reviewer typePlanned: trained, rated, domain-specialist reviewersCrowd workers selected by task
Real-time decision supportPlanned — SLA-bound approve/flag/halt decisionsNo — asynchronous annotation queue
OutputPlanned: transaction approved, flagged, or halted with audit logLabelled data for model training
Compliance supportPlanned EU AI Act human oversight documentation and audit trailsNot positioned as compliance tooling
IntegrationPlanned: GeraNexus protocol + open API for external platformsML data pipeline integration

Frequently asked questions

What does Surge AI do compared to GeraWitness?

Surge AI is a data annotation marketplace connecting machine learning teams with crowd workers to label training datasets. GeraWitness is planned to review live AI-initiated service transactions in real-time — approving, flagging, or halting actions before they complete. They operate at different stages: Surge before deployment, GeraWitness during live operation.

Does GeraWitness use crowd workers like Surge AI?

No. GeraWitness will use a trained, rated pool of reviewers with domain specialisation. Reviewer quality will be tracked and accountability enforced through planned SLA agreements. Crowd-source labelling platforms like Surge typically prioritise throughput over domain expertise; transaction review requires judgment from verified specialists.

Can Surge AI be used for real-time transaction review?

Surge AI is designed for asynchronous data annotation workflows — labelling batches of text, images, or audio. It is not designed for real-time decision gates in a live transaction pipeline. GeraWitness is being built specifically for sub-second to few-second decision routing in active service flows.

What is GeraWitness's SLA for review turnaround?

GeraWitness plans risk-tier-dependent SLAs: low-risk actions will route automatically, medium-risk actions will receive a reviewer decision within 60 seconds, high-risk within 5 minutes, and critical actions will be escalated immediately. The planned SLA will be contractual and tracked in reviewer performance metrics.

Is GeraWitness useful for companies not using Gera products?

GeraWitness is designed to integrate with the GeraNexus protocol, which is open to any service provider. Non-Gera platforms that deploy AI agents for bookings, payments, hiring, or service delivery will be able to integrate GeraWitness as their runtime human oversight layer.

Trust your AI agents at runtime

Planned: trained reviewers, SLA accountability, and full audit trails for live AI actions.

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