🚀 MLOps Services | Scalable and Affordable MLOps Solutions

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Industries

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Resources

Devising Strategy

We help you define and strategize a machine learning operations (MLOps) framework suitable for your organization. Our team helps you identify the best way to deploy ML models faster by accelerating the processes—from realizing models and democratization to finding the best architecture suitable for you.

Devising Strategy

Automate Workflows

Our team helps you automate manual tasks involved in developing ML models. We automate repetitive tasks that usually require human intervention. For instance, automating data pipelines, model training, and deployment ensures smooth flow between processes and saves a lot of money and time.

Version Control Services

Version control is an important aspect of software development. It is essential when it comes to developing ML models, which are much more complex than usual software. We help you keep track of all changes with the models you develop by employing robust version control frameworks, and you can also keep track of all changes done by each member.

ML Managed Services

Our team at Tech.us ensures you have a smooth functioning over all your ML systems at optimal investments with our ML managed services. We make use of tool-agnostic approach supported by our ML engineers. With this we ensure seamless operations. We help you in monitoring management, migrating, and managing ML cloud platforms.

Deploying Models

We help you with model deployment as we utilize continuous integration and continuous delivery – CI/CD models, which are being more useful in ML just as with software development. With this, we automate the process of integrating any changes in data, training, etc., and deploy the updated models faster.

Monitoring Models

We employ advanced, easy-to-use tools that help you continuously monitor your models. Most of them come with explainability tools which help you interpret and understand the model’s outputs. These tools identify potential errors, if any, and facilitate you to intervene and fix them, help you understand the model behavior, and much more.

MLOps Security

Our MLOps services take great care to secure the models against breaches. It is an important aspect as the data used by the models might be accessed without authorization because they are often connected to larger systems. Furthermore, we adhere to the necessary compliance and guidelines such as HIPAA compliance cybersecurity measures to take every step to protect sensitive data with our comprehensive security methodologies.

24+ Year Expertise

Our decades of industrial presence in tech helps us understand the opportunities and challenges in realizing technological innovation. We combine our skills with expertise to offer unmatched artificial intelligence services and MLOps solutions that your business require.

Being Agile

We work in agile methodology, which facilitates us to split up the process and work in sprints. We are flexible to partner with, and our ability to easily adapt to changes helps us to deliver resilient business solutions through MLOps services as per your changing needs.

Track Record

Tech.us secures credibility from our clients, including Fortune 500 companies and startups. With successful delivery of more than 1400 projects, our team enables us to be a reliable and trusted partner across five continents.

Higher ROI

We have our dedicated team with expertise in MLOps. With this we help you streamline your processes to build robust machine learning solutions. We help you scale up your operations through informed decisions and smart business choices, and enable you to achieve maximum ROI.

1,400 +

PROJECTS COMPLETED

24 +

YEARS IN
BUSINESS

30 +

INDUSTRIES
SERVED

2 X

Up to 2X faster
time to Market

100 %

COMMITMENT TO
YOUR SUCCESS

Continents
Served

Understand

Explain your requirements to our team. We work alongside you and understand the objectives and begin the process by implementing necessary first steps.

Cost Estimate

We provide highly transparent budget estimates when it comes to resource allocation for MLOps. We clearly inform you the required investments.

Plan

We prepare a clear and detailed roadmap to deliver efficient MLOps solutions. Once you confirm it, we will initiate our work.

Deliver

We employ proof-tested MLOps practices that are in line with industry best practices, and our solutions are precise and timely.

AI / ML

Frontend

Backend

iOS

Android

Database

Cloud & DevOps

AI / ML

Frontend

Backend

iOS

Android

Database

Cloud & DevOps

Speeds Up Deployment

MLOps fast tracks the whole process of developing ML model and the successive stages involved which include testing and deployment. It facilitates easy end-to-end automation that is a main component speeding up the process. This improves faster deployments, which, in turn gives you a competitive edge.

Improves Collaboration

MLOps produces a conducive platform for data scientists and software engineers, where they are able to collaborate to perform tasks including data exploration and model management. Moreover, MLOps perform better if data silos are eliminated which necessitates robust data analytics services and data mining services. The result is improved through continuous nurturing of data and elimination of bottlenecks along the way.

Saves Cost

It is rather difficult and time-consuming to manually monitor and manage ML models to maintain their accuracy. You can perform the same tasks with MLOps with improved accuracy in lesser time and effort. MLOps significantly cut expenses by drastically reducing human error. This results in accurate predictions and improved efficiency.

Improves Data Governance

With MLOps, you will be able to enforce data security measures in your organization. As MLOps keeps track of all changes you make with data, it helps with effective data governance which also ensures reproducibility of models. MLOps enforces secure data pipelines which prevent unauthorized data usage. Additionally, it helps you maintain data accuracy at high levels.

Allows Scalability

MLOps facilitates you to oversee multiple machine learning models at once in the real time. With this, you can monitor, manage, and control these models efficiently. Further with CI/CD pipeline, the models will be continuously integrated and deployed, which increases efficiency and flexibility.

We Analyze Data

Our process begins with analysis of data that need to be processed for training machine learning models. We implement exploratory analysis and make use of data engineering to make sure that your data is ready to train.

We Train Models

We implement best-in-class technology and start training your machine learning model. Our team runs ML algorithms on different datasets, and along the way, we optimize them. This enables algorithms to perform better and increases overall efficiency.

We Deploy Models

When a model completes its training, we carry out the next step and deploy the models to production. Our process facilitates continuous monitoring of the models, and we ensure constant upgradation as per continuous feedback.

We Keep them Updated

The efficient way for the models to function is that they need to be updated with changes in data, and we ensure your models get retrained constantly as new data becomes available. This guarantees your ML models perform efficiently all the time.

Helping millions of people achieve ultimate financial freedom in life. Tony Robbin's 'Wealth Maestry' - An application that provides wealth management solutions & tools to achieve financial success.

Results

Customer Satisfaction

- Personalized financial plans with robust tech support

Boosted ROI

- Increase revenue through continuous support

Redefining the face of agriculture and helping farmers make informed choices in the commodity market. Trader PhD’s mobile app provides real-time market data, analysis tools and expert insights to help farmers maximize their profits.

Results

$2 Million

- Increase Annual Revenue

Increased Monetization and Decreased Friction

- Through easy in-app purchases and targeted advertising

SkyHawk by Telus created a lightweight mobile version of their Connect Anywhere application which provides fleet connectivity and operational excellence. We built various features including locating assets, fleet activity, secure configurations and a lot more.

Results

Improved Digital Experience

- Enhanced experience with seamless map display

Increased Revenue

- Improved returns through better functionality

Making world-class training easy and accessible with a seamless and intuitive mobile app. Partnering with Tech.us, Open Gym created a first-of-its-kind fitness application that simplifies the fitness game and also has in-app purchase functionalities.

Results

50% Boost

- Achieved in business

Real-Time Updates

- Implemented timely information dissemination

Modernizing dental health with virtual consultation. Skip the wait! Simply smile, snap a selfie and get expert advice - all from the convenience of your phone. Tech.us incorporated various stunning features like AI/ML computer vision models, AI-based tooth and gum disease detection, personalized assessment, chat models and many more.

Results

3 Min Patient Care

- Saves time and money for patients and providers

Increased Revenue

- Attracting new patient types with virtual experience

Healthcare

Fintech

Retail &
Supply Chain

Insurance

Logistics &
Transportation

Manufacturing

Energy

Professional
Services

Real-Estate &
Construction

Telecommunication

Commonly Asked Questions

Find answers to the commonly asked questions about our MLOPS

MLOps is Machine Learning Operations. It is a comprehensive approach to effectively manage the machine learning lifecycle. MLOps manage the entire lifecycle from developing the model to deploying it. MLOps ensures that developed ML models are swiftly moved to production as many models do not make it there and get stuck along the way. MLOps addresses this roadblock. With continuous monitoring, it ensures there is no lag between development and deployment of ML models.

MLOps automates many of the manual tasks and streamlines the workflows effectively. This reduces the repetitive and manual tasks, so that organizations can reallocate their human resources efficiently to other demanding areas, which reduces costs. Furthermore, MLOps improves accuracy, as a result, reduces human error to a great extent which eliminates the need for costly reworks.

MLOps advocates for establishing robust data pipelines, audit trails, and version control processes, which helps in maintaining transparency in data handling. This persuades organizations to demonstrate better data handling processes by implementing robust security measures and ensure they stay compliant with policies and regulations.

While MLOps and DevOps refer to similar sets of practices, they fundamentally differ in what they are dealing with. DevOps is primarily implemented in software development where it improves collaboration between development and IT operations. However, MLOps is a recently developed concept that improves collaboration between machine learning model development and deployment. MLOps is good at streamlining the process and ensures that the ML models are swiftly moved to production without any roadblocks, and they continuously improve with constant feedback.

We are a team of technology experts who are passionate about what we do. We LOVE our customers. We LOVE technology. We LOVE helping you grow your business with technology.

MLoPS Services

Fortune 500 Companies, SMBs, and Startups trust us as a Reliable Partner in Providing MLOps Solutions

MLOps Services We Offer

Devising Strategy

Automate Workflows

Version Control Services

ML Managed Services

Deploying Models

Monitoring Models

MLOps Security

Devising Strategy

Devising Strategy

Automate Workflows

Version Control Services

ML Managed Services

Deploying Models

Monitoring Models

MLOps Security

Why Partner with Tech.us

24+ Year Expertise

Being Agile

Track Record

Higher ROI

Fast Track ML Adoption with our Robust MLOps Services

Our Effective, Efficient & Expert Practices

Understand

Cost Estimate

Plan

Deliver

Tech Stack

How our MLOps Services Benefit you

Speeds Up Deployment

Improves Collaboration

Saves Cost

Improves Data Governance

Allows Scalability

Our MLOps Best Practices for Implementation

We Analyze Data

We Train Models

We Deploy Models

We Keep them Updated

Success Stories

Industry Partners

Awards & Recognitions

Commonly Asked Questions

Develop & Deploy Machine Learning Models Faster with our MLOps Services