Data Monsters
Profile Overview
About Data Monsters
📣 We help product leaders bring AI into their offerings, from model training to robust data-pipeline development. 🏆 14 years of expertise in data science and analytics 🥇 NVIDIA Elite Partner We put sustainability and social responsibility at the heart of AI development. Our team builds responsible products that reflect your values and contribute to a better society. We see AI as a force for positive change—and work every day to turn that belief into practice. We could be the right partner if you’re thinking: ● “Millions are at stake, and I’m looking for the very best.” ● “I’ve defined the AI features I need; now I need a specialist to build them.” ● “Our previous AI proof of concept was a disaster. I won’t let that happen again.” ● “I need a service I can trust to guide us to the right AI architecture.” ● “We need an expert opinion on feasibility and a project cost estimate.” ● “I need an AI specialist to create a POC that will impress prospective investors and help secure our next funding round.” When you partner with us, you can: ★ Leave the AI challenges to us. We’ll build precise models, put them into production, clarify your requirements, and deliver a complete AI product or service. ★ Spot potential roadblocks and risks early, then address them before they become problems. ★ Get ready-to-deploy, investor-quality models and documentation designed to stand the test of time and support your fundraising. ★ Make a strong impression on executives and investors with state-of-the-art AI. ★ Save money with MVPs and POCs that test your assumptions and keep you from pursuing unnecessary approaches. A few numbers: ● NVIDIA Elite Partner ● 14 years delivering AI services ● 200+ AI projects completed ● 70 clients over the past five years, with an estimated total impact of more than $200 million ● Based in Silicon Valley ● 65 data scientists, including 12 PhDs AI, Python, computer vision, ChatGPT, automatic speech recognition, natural language processing, MLflow, AWS SageMaker, Haystack, OpenAI plugins, LangChain
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Locations
Services
- Software Development: 30 %
- Artificial Intelligence: 35 %
- BI & Big Data: 20 %
- Enterprise Applications: 15 %
Frameworks
- Django: 50%
- Node.js : 50 %
BI & Big Data Segments
- Marketing Analytics: 50%
- Operations & Process Optimization: 50%
Application Platforms
- Amazon: 34%
- Google App Engine: 33%
- Azure: 33%
Artificial Intelligence
- Machine Learning : 37 %
- Robotics : 18 %
- Cognitive Computing: 18%
- Speech & Text Processing: 27%
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Portfolio
Projects
ASR for Speech Assistant
Case Study by Data Monsters
Description
Use Case: Our customer built a system that supports contact center agents with relevant information in real-time. The system analyses customers’ and agents’ voices, and recognize intents and entities to search in the knowledge base. The contact center serves an energy transformation services provider with more than 2000 products. The challenge was to improve the recognition of in-domain words and train the system to recognize product names. Implementation: Our team reduced the word-error-rate from 16% to 10% using just 8 hours of call recordings. It was made using NVIDIA Riva features such as: - Fine-tuning ASR model using TAO Toolkit and NeMo - Training language model - Building a lexicon for in-domain words - Word-boosting of significant words In close connection with the NVIDIA Riva team, we also improved the quality of these features in the new release of Riva
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Further case studies of the provider
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Rating Overview
Overall Rating
Rating distribution
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| 5 stars | 100% | |
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