Passage AI vs Wave Computing
Passage AI
Use AI to converse with your customers and employees
3 employees · est. 2016 · Mountain View, United States
Wave Computing
Helping companies accelerate artificial intelligence from the data center to the edge
38 employees · est. 2010 · San Jose, United States
Wave Computing is the older company (2016 vs 2010); Wave Computing is the larger of the two.
Side-by-Side Comparison
| Metric | Passage AI | Wave Computing |
|---|---|---|
| Founded | ||
| Founded | 2016 | 2010 older |
| Headquarters | ||
| Headquarters | Mountain View, United States | San Jose, United States |
| Employees | ||
| Employees | 3 | 38 larger |
| Industry | ||
| Industry | AI, Machine Learning | AI, Analytics, Big Data |
| Funding Stage | ||
| Funding Stage | Acquired | Series E |
| Total Funding | ||
| Total Funding | $10.30M | $203.31M |
| Funding Rounds | ||
| Funding Rounds | 3 | 5 |
| Taxonomy | ||
| Taxonomy | Conversational AIChatbot Experience ManagementCustomer Service AutomationNatural Language UnderstandingDeep Learning TechnologyMessaging Platforms +3 | Data CenterEdge ComputingDataflow-based ChipsPerformance ImprovementDeep LearningTechnology Innovation +5 |
| Website | ||
| Website | passage.ai | wavecomp.ai |
About Passage AI
Passage AI, founded in 2016, is a prominent player in the AI and Machine Learning sectors, headquartered in the United States. The company operates a cutting-edge Conversational Interface Platform designed to leverage Natural Language Understanding and Processing (NLU/NLP) for businesses eager to e...
About Wave Computing
Wave Computing is a VC-backed company revolutionizing artificial intelligence with its dataflow-based chips, systems, and software, delivering significant performance improvements. The company's vision is to bring deep learning to customers' data from the edge to the data center, accelerating time-t...
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Compiled from the BounceWatch company index. We last looked at Passage AI on 28 Feb 2025, and Wave Computing on 12 Sep 2024. Where a field is blank here, it means we have not recorded it — not that the answer is zero. How we source and date this.
