time series
Numenta HTM
Numenta's HTM detector on NAB.
Levelmodel
Classtime series
Parametersnot in the notes
Contextnot in the notes
Releasednot in the notes
Opennessunknown
Runs onnot in the notes
Statusnot in the notes
Benchmark Results
maintainer-run
NAB (Numenta Anomaly Benchmark) v1.0time series
Standard profile; Numenta HTM entries range 70.5 to 69.7maintainer-run
70.5
04080
Score in NAB score. Higher is better.
Where this comes from
Every score names who ran it: vendor-reported, maintainer-run or independent. A rank is shown with the population it was ranked in (gap rule 3).
Identity
- Developer
- not in the notes
- Family
- not in the notes
- Released
- – sources
- Weights published
- –
- Record checked
- 10 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.
Architecture and Size
- Architecture
- other
- Total parameters
- – sources
- Active parameters
- –
- Checkpoint parameters
- –
- Context length
- not in the notes
- Input
- time series
- Output
- not in the notes
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).
Openness and Access
- Openness
- unknown
- Licence
- not in the notes sources
- Access routes
- not in the notes
Where this comes from
The licence file governs over registry tags and aggregator labels.
Deployment
- Runs on
- not in the notes
- Footprint
- not in the notes
- Runtimes
- not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.
Indonesia
- Indonesian support
- not stated
- Regional languages
- not in the notes
- Jakarta hosting
- unknown
- Languages
- not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.
Lineage
The notes record no lineage for this model.
Industry Use Cases
No industry use case links this model.
Links
Developersnone recorded
ModelNumenta HTMtime series
Use CasesAnomaly Detection on Sensor, SCADA and Historian DataIndustrialPharma Manufacturing and GMPHealthcarePredictive Maintenance (Failure Prediction, RUL)IndustrialUse cases of models in the same R&D topic; none is recorded for this model itself.
Who Runs It
PT Kalbe Farma TbkProof of concept, 20 Jul 2026
PT Pertamina Hulu Rokan (PHR)In production, 17 Oct 2025
PT Kilang Pertamina InternasionalIn production, 17 Oct 2025PT Pertamina International Shipping with Pertamina Marine EngineeringPlanned, 9 Dec 2024+10 moreDeployments of these use cases; none names this model.
PT Kalbe Farma TbkProof of concept, 20 Jul 2026PT Pertamina Hulu Rokan (PHR)In production, 17 Oct 2025PT Kilang Pertamina InternasionalIn production, 17 Oct 2025PT Pertamina International Shipping with Pertamina Marine EngineeringPlanned, 9 Dec 2024+10 moreDeployments of these use cases; none names this model.Sources
- GitHub - numenta/NAB: The Numenta Anomaly Benchmark github.com https://github.com/numenta/NAB
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Numenta HTM", https://aurion.semai.id/models/numenta-htm/, records of October 2026.