MLoPS

    We Help you Streamline your Entire Machine Language Lifecycle

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      Automate the Process & Optimize Costs

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      Deploy Reliable & Scalable ML Models

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      Easily Track your ML Model Iterations

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      Enable Better Collaboration Mong Teams

    Software Development Company

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

    NBCUniversal
    Synopsys
    Tony Robbins
    GFK
    SkyHawk by Telus
    TapRight
    Gorilla Nation
    Resilienci
    Awespira
    3com
    Zone
    Heartland Computers
    NBCUniversal
    Synopsys
    Tony Robbins
    GFK
    SkyHawk by Telus
    TapRight
    Gorilla Nation
    Resilienci
    Awespira
    3com
    Zone
    Heartland Computers

    MLOps Services We Offer

    At Tech.us, we intend our MLOps services help businesses to develop and deploy machine learning models faster, and importantly, we ensure they make it to production. With our services, we ensure faster development and deployment and automate much of the manual processes.

    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

    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.

    Automate Workflows

    Our team helps you in automating manual tasks involved in developing your model. 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 highly sought after when it comes to developing ML models, which are much more complex than software. We help you keep track of all changes with the models you develop by employing robust version control frameworks, and you can 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, as well as 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 to take every step to protect sensitive data with our comprehensive security methodologies.

    Why Partner with Tech.us

    Tech.us equips your business with better decision-making and informed choices through our MLOps services, which enables you to implement uninterrupted development and deployment practices. It helps you open up new possibilities and scale up your operations.

    24+ Year Expertise

    Our decades of industrial presence in tech enable us to understand and adapt to the intricate technologies of artificial intelligence and machine learning, this helps us to bring out unique MLOps solutions that your business requires.

    Being Agile

    We work in agile methodology, which facilitates us to divide and work in sprints. We are flexible to partner with, as 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, this includes Fortune 500 companies as well as startups. With successful delivery of more than 1400 projects of different requirements, our team enables us to be a reliable partner across five continents.

    Higher ROI

    We have our dedicated team with expertise in MLOps, with this we help you streamline machine learning processes. 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

    5

    Continents
    Served

    Fast Track ML Adoption with our Robust MLOps Services

    Experience the true potential of machine learning through continuous monitoring of models.

    Our Effective, Efficient & Expert Practices

    Partner with Tech.us and begin your journey towards adopting high-end technology dedicated to your business with simple steps.

    Understand

    Understand

    Explain your requirements, we work alongside you, our team understands the objectives and begins the process by implementing necessary first steps.

    Cost Estimate

    Cost Estimate

    Our budget estimates are transparent when it comes to resource allocation for MLOps, we clearly inform you the required investments.

    plan

    Plan

    We come up with a clear roadmap to deliver efficient MLOps solutions, once you approve it, we initiate our work.

    Deliver

    Deliver

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

    Tech Stack

    Implementing flawless MLOps process requires relevant and advanced tools as well as technologies. We invest in a powerful stack of technology which helps you with complete implementation of MLOps.

    Frontend

    HTML CSS JavaScript TypeScript Bootstrap jQuery jQuery UI Angular React JS Chartjs Vue.js Next.JS

    Backend

    PHP Node.js CodeIgniter Slim Wordpress Express JS Python

    iOS

    ARKit Objective-C RealityKit Swift Swift Playgrounds Create ML Swift Package Manager SwiftUI

    Android

    Gradle Andriod Studio Java Flutter Jetpack compose React Native Kotlin ML

    Database

    MySQL MagoDB Oracle PostgreSQL SQL Server SQLite MariaDB Amazon AWS Arora

    Cloud & DevOps

    Amazon AWS Amazon CloudWatch Datadog GitHub Google Cloud Docker Microsoft Azure NPM Oracle Cloud Jenkins Sentry Salesforce

    Frontend

    HTML CSS JavaScript TypeScript Bootstrap jQuery jQuery UI Angular React JS Chartjs Vue.js Next.JS

    Backend

    PHP Node.js CodeIgniter Slim Wordpress Express JS Python

    iOS

    ARKit Objective-C RealityKit Swift Swift Playgrounds Create ML Swift Package Manager SwiftUI

    Android

    Gradle Andriod Studio Java Flutter Jetpack compose React Native Kotlin ML

    Database

    MySQL MagoDB Oracle PostgreSQL SQL Server SQLite MariaDB Amazon AWS Arora

    Cloud & DevOps

    Amazon AWS Amazon CloudWatch Datadog GitHub Google Cloud Docker Microsoft Azure NPM Oracle Cloud Jenkins Sentry Salesforce

    How our MLOps Services Benefit you

    Machine learning models are capable of providing high level data prediction accuracy, but continuous monitoring is needed for them to function better. That’s where our MLOps services come. We apply best practices of MLOps which benefits your organization in many ways.

    Speeds Up Deployment

    MLOps fast tracks the whole process of developing ML model and the successive stages involved which include testing, as well as 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 further necessitates different departments to come forward. The result is improved results through continuous nurturing of data and elimination of bottlenecks along the way.

    Saves Cost

    It is rather difficult and time-consuming to manually adjust ML models to maintain their accuracy, where you can perform the same tasks with MLOps as it enables continuous monitoring. It further automates such tasks that reduce the cost associated. Another aspect of MLOps in terms of saving costs is that it reduces human error – 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. This allows you to see whether the models are swiftly moved into production, based on these analysis, you can ensure high scalability. Further with CI/CD pipeline, the models will be continuously integrated and deployed, which increases efficiency and flexibility.

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    Our MLOps Best Practices for Implementation

    We implement end-to-end MLOps process for your enterprise, with this we ensure your machine learning models are efficiently managed and deployed. Our team employs industry best practices and streamlines production.

    Best Practices

    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.

    Success Stories

    Our clients trust us with the implementation of MLOps, we partner with them through our robust measures to streamline their ML operations.

    Tony Robbins

    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

    Tony Robbins Tony Robbins
    trd

    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

    Trader PhD-Mobile Trader PhD-Mobile
    skyhawk_logo

    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

    SkyHawk by Telus-Mobile-1 SkyHawk by Telus
    Open GYM-logo

    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

    Open Gym-Mobile Open Gym
    smilo

    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

    Smilo-Mobile Smilo.ai
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    Industry Partners

    It is critical to implement workable MLOps for your organization, in that line, we consistently deliver solutions that enable organizations across different industries.

    Healthcare

    Fintech

    Retail &
    Supply Chain

    Insurance

    Logistics &
    Transportation

    Manufacturing

    Energy

    Professional
    Services

    Real-Estate &
    Construction

    Telecommunication

    Awards & Recognitions

    Our industry awards & recognitions stand as a proof to our excellence in transforming organizations with our proof-tested MLOps solutions.

    Generative
    Top-Wearable-App
    Best-Mobile
    Top-Software-Dev
    Top-App-Dev

    Commonly Asked Questions

    Find answers to the commonly asked questions about our MLOPS

    MLOps, Machine Learning Operations, is a comprehensive approach to effectively manage the entire machine learning lifecycle. This includes from developing the model to deploying it. MLOps ensures that developed ML models are 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 much of the manual tasks and human interventions and streamlines the workflows effectively. This reduces the repetitive tasks that humans do 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.

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    Your Technology Partners

    Develop & Deploy Machine Learning Models Faster with our MLOps Services