Only one in seventy-five new business initiatives get to product-market fit. We can help.
Specialized services take your idea from napkin to product market fit rapidly and cost-effectively. We are great at risk. Experienced entrepreneurs who have pivoted (successfully) countless times are here to help you offset and prevent risk. Increasing your odds of success by 4x.
Zemoso designers build amazing clickable prototypes to use to validate ideas, line up necessary features and get to the next stage of funding and stakeholder validation.
Growth facilitators help with customer acquisition and message testing. They use innovation marketing techniques to help you get data and test your ideas.
Using our architectural models based on your end market needs, agile engineers execute on your vision in a way that can be quickly scaled up to meet your end market demand.
Zemoso designers build amazing clickable prototypes to use to validate ideas, line up necessary features and get to the next stage of funding and stakeholder validation.
Growth facilitators help with customer acquisition and message testing. They use innovation marketing techniques to help you get data and test your ideas.
Using our architectural models based on your end market needs, agile engineers execute on your vision in a way that can be quickly scaled up to meet your end market demand.
Our expertise in natural language ranges from Information Extraction from structured and unstructured data, Summarization, Text Classification, Sentiment Analysis, Named Entity Detection and Topic modeling.
One of real-world examples is Zemoso’s IP product app, Textractive, which summarizes phone conversations and meetings and extract action items and list them for follow up.
Some of the frameworks libraries we use extensively are: tensorflow, BERT, Spacy, scikit-learn, rasa, NLU.
Zemoso engineers work daily with speech-to-text detection, detecting the onset of disease, chatbots and conversational assistants filling in missing characters and predicting scanned document fills, data augmentation and generation, object detection in videos and images, plus anomaly detection.
We specialize in Deep Neural Network models — CNN, DNN, Bidirectional Encoder Representations from Transformers (BERT), Universal Sentence Encoder and survival regression models. We have an in-house domain-focused Speech-to Text engine built on DeepSpeech 2, which has been trained using 50 terabytes of audio files(40,000 hours).
Some of the frameworks and libraries we use are Tensorflow, scikit-learn, PyTorch, SparkML.