Data Monsters

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Overview

$25,000+

Min Project Size

$100 - $149/hr

Avg Hourly Rate

50 - 249

Employees

2009

Year Founded

ABOUT DATA MONSTERS

AI/Deep Learning/Machine Learning development

📣 We assist product managers in integrating Artificial Intelligence into their products by training models and establishing data pipelines. With 14 years of experience in Data Science and analytics, and as an Elite NVIDIA Partner, we understand the significance of ESG principles in AI development. Our team is committed to creating sustainable solutions that reflect our clients' values and foster social responsibility. We believe AI has the potential to be a transformative force for good, and we are dedicated to realizing this vision. If you find yourself thinking: ● “There’s a lot at stake, and I want the BEST” ● “I know which AI features I need, but I require an expert to implement them” ● “Our last AI proof of concept was disappointing – I don’t want that to happen again” ● “I need assurance that we will arrive at the RIGHT AI architecture” ● “I’m seeking consultation on feasibility and a project cost estimate” ● “I need an AI expert to develop a proof of concept to attract potential investors and secure the next round of funding” Working with us means you will: ★ Eliminate confusion around AI – we will build precise models, deploy them, clarify requirements, and deliver your finished AI product or service ★ Anticipate challenges and risks, addressing them in advance ★ Receive comprehensive, investor-ready, future-proof models and documentation that can help raise capital ★ Impress your management or investors with leading-edge AI solutions ★ Save costs through our MVP and proof-of-concept processes, testing your assumptions, and avoiding unnecessary explorations. Some key facts include: ● NVIDIA Elite Partner ● 14 years of experience in AI professional services ● Over 200 completed AI projects ● 70 clients in the last 5 years, with a total estimated impact exceeding $200 million ● Based in Silicon Valley ● A team of 65 data scientists, including 12 with Ph.D. degrees, specializing in AI, Python, Computer Vision, ChatGPT, Automatic Speech Recognition, Natural Language Processing, MLFlow, AWS Sagemaker, Haystack, OpenAI Plugins, and Langchain.

Tech Stack

.NETDjangoFlutterNodeJSReactReact NativeVueJSPythonC#JavaJavaScriptSQL+1 more

Languages Spoken

English

HIGHLIGHTS

$25,000+

Min Project Size

$100 - $149/hr

Avg Hourly Rate

50 - 249

Employees

2009

Year Founded

Services

Focus

Industries

Clients

Services Provided

14% AI Strategy & Roadmap Consulting

17% Machine Learning Model Development

3% BI & Big Data Consulting & SI

33% Custom Web Application Development

33% Business Intelligence (BI) Dashboard Development

About the Team

OUR STORY

Data Monsters stands as a trusted partner specializing in crafting customizable, hyper-realistic 3D avatars for diverse industries including retail, education, financial services, healthcare, and media. Their avatars enhance customer interactions, optimize frontline worker efficiency, and reduce operational costs. Committed to innovation, Data Monsters collaborates strategically with leading technology vendors like NVIDIA, AMD, Qualcomm, HPE, Microsoft, Adobe, AWS, and others. These partnerships empower them to deliver cutting-edge AI and machine learning solutions tailored to clients' evolving needs. Praised for quality, innovation, and professionalism, Data Monsters is recognized for its proactive problem-solving, seamless project collaboration, and dedication to exceeding client expectations in the dynamic AI landscape.

Portfolio

ASR for Speech Assistant

Unknown

Use Case: A customer developed a system that assists contact center agents by providing them with relevant information in real-time. This system analyzes the voices of customers and agents, identifying intents and entities to search the knowledge base. The contact center supports an energy transformation services provider that offers over 2000 products. The main challenge was enhancing the recognition of domain-specific terms and training the system to identify product names. Implementation: Our team successfully decreased the word-error-rate from 16% to 10% by utilizing just 8 hours of recorded calls. This was achieved through NVIDIA Riva features, including: - Fine-tuning the ASR model with the TAO Toolkit and NeMo - Training a language model - Creating a lexicon for domain-specific words - Enhancing recognition of important words. Collaborating closely with the NVIDIA Riva team, we also enhanced the quality of these features in the latest Riva release.

Defects Detection on a High-Speed Line

Unknown

Use Case: Visual inspection by humans proves difficult on high-speed production lines. Conventional sensors are limited to identifying standard defects; however, when products on the line feature diverse packaging designs or shapes, human oversight is still necessary. In such environments, human inspection accounts for less than 5% of the total production and is only effective in preventing recurring defects. AI for High-speed Conveyor Defect Control: Self-supervised neural networks can learn directly from video footage of the production line, allowing them to rapidly identify anomalies without the need for human labeling. The approach utilizes generative neural networks that can automatically recognize new product appearances and determine whether they represent an anomaly or a new design.

ASR for Educational App

Unknown

Plabook is a smart platform designed to assist students in developing their reading skills by automating various reading evaluations, including oral reading fluency, dyslexia screening, running records, comprehension, and phonemic awareness. The application listens to children as they read aloud, assesses their performance, and produces a digital running record. To enhance the speech recognition features within the Plabook app, we utilized the NVIDIA Riva Speech AI SDK, incorporating voice recordings from hundreds of children with diverse accents and reading abilities.

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