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Machine learning continues to help businesses improve decision-making, automate processes, and understand data more clearly. Many US-based companies now offer reliable solutions suitable for both small teams and growing enterprises.

1. Apptunix
   Apptunix offers practical machine learning development services that help businesses improve forecasting, automate workflows, and use data more effectively. Their team focuses on models that fit smoothly into web or mobile systems. This makes them a dependable option for companies wanting solutions that work in real operational environments.
2. Blocktunix
   Creates structured ML models for pattern recognition and data-based insights. Their work suits companies aiming to scale gradually using machine learning development services.
3. QuickML Labs
   Offers lightweight predictive models and simple data preparation. Often chosen by startups needing affordable experimentation.
4. EdgeAI Solutions
   Builds efficient models that run directly on devices with minimal delay. Ideal for companies avoiding heavy cloud usage.
5. DataMinds Technologies
   Supports small businesses with basic ML prototypes and automation. Helpful for those who are adopting technology step by step through software development services.
6. NovaML Labs
   Develops analytical models for marketing, customer trends, and image-based tasks. Integrates smoothly with standard cloud platforms.
7. AIWorks
   Specializes in text-driven tools like chat features and sentiment analysis. Ensures clean data pipelines for easier model deployment.
8. DataSpark Solutions
   Works on predictive tools for logistics and retail. Also helps teams enhance their digital platforms through app development services.
9. BrightML Labs
   Creates recommendation tools and basic visual recognition models. Helps startups use their data more effectively.
10. SimpleAI Solutions
    Focuses on small-scale predictive modeling and early-stage consulting. Makes it easy for companies to add ML features to their existing tools.