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Machine Learning Development Services

Whether it is about forecasting, predictive analytics, or recommendation engine, TechnoMark’s custom machine learning development services help you realize the full potential of your data. Partner with us to get an edge over your rivals through intelligent automation and new AI solutions, support with a decade of experience.

Let’s Discuss Your ML Requirement
Custom Machine Learning

Our ML Development Services

Start from data preparation to model deployment, we help you with end-to-end machine learning development services spans across the ML lifecycle to make sure every step of the process is covered with precision and care.

machine-learning

Custom ML Model Development

Our ML experts help you build domain-specific machine learning models using CNNs, RNNs, and more with utmost professionalism.

network-analytics

Neural Network Development

Be it enhanced image recognition, natural language processing, or predictive analytics, we help you get cutting-edge neural network solutions.

ml

Machine Learning as a Service

Leverage from MLaaS to harness the power of machine learning to get scalable and secure AI/ML solutions for your business.

MLOps

MLOps

Our team excel in providing MLOps services to ensure seamless integration of ML models into your production environment on the go.

strategy

ML Strategy & Consulting

We assist organizations to define strategic ML roadmaps, discover automation opportunities, and select optimal models for impactful innovation.

optimization

ML Model Training & Optimization

Achieve maximum performance by training and fine-tuning the machine learning models with our AI ML consulting services.

Our Machine Learning Development Process

01

Data Collection & Processing

We gather the necessary data through web scrapping or APIs and then process it to make it ready for feature engineering.

02

Training the Model

We train the model using prepared data, which involves splitting the data, use training dataset to fit in model, and adjust it to improve performance.

03

Model Evaluation

Once trained, we constantly evaluate the performance of the model using the test datasets to ensure model performs well.

04

Deployment

Once deployed, we monitor performance, flag inconsistencies, and fine-tune models based on various parameters observed.

Meet Your Diverse

Tools That Power Tomorrow’s AI

Icon Hugging

Hugging Face Transformers

Heskell

Haskell

Apache Airflow

Apache Airflow

PyCaret
Scikit Learning

SciketLearning

spaCy
julia
haskell-2

Haskell

Pandas

Pandas

Scala

Scala

Python

Python

gemma

Gemma

ollama

ollama

Mlflow
tensorflow

Tensor Flow

haskell-2

HasKell

NumPy
Keras
Lisp

Lisp

Prolog

Prolog

What Our Clients Say

Why Clients Choose Technomark—Again and Again

Technomark | Givsum

Shawn Wehan

Founder

Givsum

We're thrilled with TechnoMark's exceptional services. As both client and recipient, their results exceeded expectations. Scaling our development team was a challenge, but TechnoMark provided dedicated Full-Time Equivalents (FTEs), seamlessly integrating with our team to take charge of new task development, bug fixes, code reviews, and deployment.

stylegenie

Akash Mutgi

Founder

StyleGenie

We collaborated with TechnoMark to build an AI-powered styling recommendation engine that automates personalized outfit suggestions via seamless WIX API integration. Their expertise in survey analysis, product mapping, and real-time recommendations improved user engagement, scalability, and efficiency while significantly reducing manual intervention and operational effort.

FAQs

Absolutely. We build completely bespoke models to your data, goals and domain — whether it’s predictive analytics, anomaly detection, recommendation systems or demand forecasting.

Absolutely. We also audit, retrain and optimize existing models for accuracy at speed and cost — keeping your Ml workloads fit for the future.

We take care of the complete data engineering pipeline — cleaning, labeling, feature extraction and transformation — so you can confidently train your ML models on clean, representative data.

Yes. We begin with POCs or pilots to prove out feasibility, show ROI and scale with confidence once the results are validated.

Get in Touch

Seeking personalized support?
Request a call from our expert team

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