Mycelium Ingestion
Aggregate intersection camera vehicle counts and pedestrian button presses in real time.
Use Case 29 · Public Sector & Smart City
Adaptive real-time traffic signal timing driven by computer vision and road sensors.
Customer need & pain point
Step-by-step execution
Aggregate intersection camera vehicle counts and pedestrian button presses in real time.
Calculate vehicle queue lengths and flow velocity across key road arterial routes.
Adjust green light phase durations dynamically via smart traffic controllers.
Prioritize signal green waves for public transit buses and ambulances.
Quantifiable ROI & impact
The “aha” moment
“City traffic flows continuously now because traffic signals adjust dynamically to real-time road conditions.”
Enterprise data is vast, fragmented, and hidden beneath legacy silos. Traffelo AI harvests that intelligence from the core.
Operating entirely inside your security perimeter, raw streams are scrubbed locally, with zero PII egress — architected against KVKK, GDPR and PDPL.
Tokenised intent payloads are routed dynamically across leading language models — chosen per workload for latency, reasoning depth, and cost.
Turning signals into immediate commercial execution. Traffelo AI. Sovereign intelligence, orchestrated.
Key management, AES-256 encryption at rest, TLS 1.3 in transit, and full tokenization mappings — documented end to end.
All raw PII, transaction details, and user identifiers are scrubbed locally within your security perimeter.
Stripped intent payloads are cryptographically tokenized before execution on remote multi-LLM networks.
Deploy on-premise, in local cloud regions, or fully air-gapped environments. Air-gapped deployments use local models; hybrid ones reach global models with tokenised data.
Encryption at rest AES-256-GCM
Transport TLS 1.3 · mTLS between edge nodes
Tokenisation SHA-256 mapping, key material never leaves the perimeter
Key management Customer-held HSM / KMS, BYOK supported
Egress policy Deny-by-default; anonymised intent payloads only
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