NLP-as-a-service startup offers use-case ready API
The company’s platform allows developer to embed language comprehension into their projects, transforming texts from any source into structured data, with no training data or machine learning knowledge required. Designed to deliver accuracy, predictability and fast time-to-value for concrete product tasks, One AI’s Language Skills combine curated and optimized open-source models with models designed by their research team.
“The generation of unstructured data is increasing at unprecedented rates, and the inability to understand it results in negative outcomes that include everything from lost sales, to lower levels of user engagement and loyalty, to reputation damage.” says Amit Ben, Founder & CEO at One AI. “The adoption of language comprehension tools by the broader developer community is the way to overcome it.”
One AI’s Language Skills API packages NLP models, trained for concrete business use-cases. Language Skills support input in various formats (text, audio, JSON, video..). Developers can mix-and-match Skills in a single pipeline using One AI’s Language Studio – a no-code visual interface – to process texts in a single API call, and can also include O/S and their own models.
Skills include:
- Conversation summarization
- Article summarization
- Action item detection
- Sale insights (buyer, timing, needs, …)
- Numbers extraction (quantities, dates, times, pricing…)
- Names (people, places, products, organizations…)
- Topic detection
- Proof-reading (transcriptions, synthetic text)
- Emotion & sentiment extraction
- Clustering & Text Analytics
- Split by topic
- And more
In its launch announement, the company says it raised $8 million in seed funding from leading angel investors and VCs, including Ariel Maislos, Tech Aviv, Tomer Wiengarten, CEO of Sentinel One.
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