Neural Technology Services (NTS) empowers creators, startups, and enterprises by accelerating innovation, development, and deployment of scalable AI solutions.
Our experts understand the diverse challenges across industries and empower each client with AI solutions tailored to their unique needs and use cases.
NTS removes technical complexities and cost barriers, facilitating smooth adoption and utilization of AI for maximum efficiency and effectiveness.
We streamline your journey from concept to execution, facilitating agile product development through fast deployment, and delivering bespoke solutions to address complexities in your industry.
NTS offers a simple interface to scale and create AI workflows and production-ready applications by deploying one-click apps is a matter of seconds. NTS is comprised of Neural AI-powered platforms, Neural ML APIs, MongoDB, MLFlow, Label Studio, MySQL, and much more.
Neural Earth combines geospatial and time-series data into actionable insights while leveraging acceleratory AI technologies for near real time risk identification and financial quantification.
Neural Health's accelerate healthcare innovation through actionable insights and streamlined processes fueled by proprietary algorithms and AI-driven solutions.
Apache Airflow is an open-source platform for orchestrating and scheduling complex data workflows.
Metaflow is a framework for building and managing real-life data science projects with a focus on scalability, reproducibility, and ease of experimentation.
OpenML is an open-source platform that provides access to machine learning datasets, tasks, and experiments.
Kedro is an open-source data pipeline framework for building reproducible, maintainable, and modular machine learning workflows.
Sematic sits in the middle of your stack and integrates with the tools you already use.
Leverage satellite imagery and data to provide insights into various applications such as agriculture, urban planning, environmental monitoring, and disaster management. Satellite APIs employ machine learning techniques for image analysis and interpretation.
Identify and mitigate biases in datasets, models, or applications. Bias APIs utilize natural language processing and machine learning algorithms to analyze text or data for biased patterns and provide recommendations for addressing them.
Optical Character Recognition extract text from images or scanned documents. OCR APIs use computer vision algorithms to recognize and convert text in images into machine-readable text.
Detect and analyze faces within images or video streams. Face APIs utilize computer vision algorithms to identify facial features, emotions, and demographics.
Analyze and interpret visual content, including images and videos. Vision APIs employ computer vision techniques to extract meaningful information from visual data.
Analyze text data to determine the sentiment or emotional tone expressed within it. Sentiment APIs employ natural language processing techniques, including machine learning algorithms, to classify text as positive, negative, or neutral sentiment.
Provide access to weather data such as current conditions, forecasts, and historical data. Weather APIs use machine learning algorithms to analyze various meteorological variables and provide accurate predictions.
Forecast future outcomes based on historical data and patterns. Prediction APIs leverage machine learning algorithms to make predictions in various domains.
