back to company universe
AI infrastructure

WattsUp

We leverage proprietary ML and AI models to detect EV charger anomalies prior to fault-induced downtime.

sources
1
Evidence entries preserved.
affiliations
1
Techstars
competitors
6
Mapped from High Signal graph features.
status
generated
D1 lookup
last updated
2026-07-15
16:41 UTC
source evidence
Why this company exists here

Techstars

techstars-portfolio #1389

We leverage proprietary ML and AI models to detect EV charger anomalies prior to fault-induced downtime.

source
generated read
High Signal interpretation

WattsUp is classified as AI infrastructure from source descriptions and fund-directory context. Similar companies below are ranked from offline product facets and meaningful description overlap; category and source affiliation can only strengthen an existing product match. For lookup-created rows, the profile starts as pending enrichment until deeper source collection runs.

offline extraction
Product facets
proprietary ML and AI modelsML and AI models
mapping method
Similarity graph

Local clusters rerank extracted product concepts and description terms. The generated graph remains the fallback for sparse descriptions: offline reciprocal product-similarity graph: extracted concepts + description terms + bounded category/affiliation boosts. Minimum fallback score: 0; max competitors: 6.

discovery cluster

Companies similar to WattsUp

AI infrastructure · 6 peers

A deterministic local cluster built from offline product facets and meaningful description terms. Category and selected-institution affiliation provide bounded tie-breaks. Open any peer to continue exploring its cluster.

Evidently AI

match 47

We are building an open-source standard to monitor ML models in production. The tool is used by enterprise data science teams to operate their models reliably and detect and resolve issues.

shared extracted concept terms: ml, model; shared product terms: ml, model, detect; same category: AI infrastructure

Aquarium Learning

match 47

ML models are only as good as the datasets they're trained on, and that means that most improvement to model performance comes from improvement to the quality and diversity of their datasets. Our tooling makes it easy for ML teams to find anomalies + failure patterns in their datasets and fix these problems by editing / adding the right data. So the next time you retrain your model, it just gets better.

shared extracted concept terms: ml, model; shared product terms: ml, model, anomalie; same category: AI infrastructure

MAIK

match 40

DIY studio to create custom-made AI/ML models

shared extracted concept terms: ml, model; shared product terms: ml, model; same category: AI infrastructure; shared affiliation: Techstars

FTN Network

match 40

FTN Network is a iGaming affiliate, fantasy sports, and sports betting subscription platform built to increase user success rates through the use of proprietary data, models, tools, and entertaining content. Think Action Network meets Pro Football Focus

shared extracted concept terms: proprietary, model; shared product terms: proprietary, model; same category: AI infrastructure; shared affiliation: Techstars

CustomerBase.ai

match 40

CustomerBase.ai uses AI & ML to create custom data models for revenue teams, enabling targeted engagement with prospects likely to close.

shared extracted concept terms: ml, model; shared product terms: ml, model; same category: AI infrastructure; shared affiliation: Techstars

KEIPhone

match 30

KEIPhone provides free smartphones and solar chargers to unconnected women via an innovative advertising-based revenue model.

shared extracted concept terms: model; shared product terms: charger, model; same category: AI infrastructure; shared affiliation: Techstars