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seis-AI

SEIS AI is an AI-powered earthquake detection and seismic analysis platform that processes seismic waveforms to detect P/S phases, estimate event uncertainty, and improve earthquake detection under regional domain shifts. Built using deep time-series models and SeisBench for robust seismic monitoring and analysis.

Details

External ID
1394711489
Source
GITHUB
Company
—
Product
seis-AI
Website domain
github.com
Launched
Sept. 29, 2026
Cohort
—
Upvotes
21
Upvotes percentile
0.6211247758134768
Tags
—
Fetched at
Sept. 30, 2026, 1:02 a.m.
Updated at
Sept. 30, 2026, 1:02 a.m.

Enrichment

Theme
ai-powered learning and skills training
Vertical
Energy & climate
Function
Analytics & BI
Audience
B2B
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
ai-powered earthquake detection and seismic waveform analysis platform
Manually corrected
False

Could you build this?

No Developing robust AI earthquake detection and seismic phase picking requires deep geophysics domain knowledge, specialized seismic data processing (e.g., MiniSEED parsing, SeisBench), and ML research in domain adaptation.

What it would actually take: Requires an ML pipeline handling seismic waveform data formats (obspy, MiniSEED), implementing deep learning architectures (like PhaseNet or EQTransformer) trained on vast historical seismic station data, and running low-latency inference pipelines. It requires geophysicists and specialized ML researchers to tune phase-picking thresholds and regional domain shifts.

Competitors

Other products that read as similar to this one — 46 launches clear the similarity bar, closest 8 shown.

Attention rank: #20 of 47 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 320 days after the earliest competitor.

Other launches for this product

Same idea, different domain

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