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Artificial Intelligence & Machine Learning Services
Machine Learning Development
We know how to make Machine learning accessible and affordable for your business case.
OVERVIEW
Machine Learning enables systems to learn from data and improve performance over time without constant reprogramming. It drives intelligent applications like natural language processing, image recognition, and autonomous systems that adapt and improve over time.
OUR SERVICES
ML for predictive analytics
Data engineering for ML
Custom ML model development
Natural Language Processing (NLP)
Computer Vision
Deep Learning solution
Machine Learning operations (MLOps)
Voice & speech recognition apps
We build data analytics solutions that forecast market trends, customer behavior, and business performance so you can make proactive decisions and manage risk effectively. Predictive models and data mining techniques turn your data into clear insights that keep you ahead of what's coming.
Our data engineers help you manage and analyze data effectively so you can uncover trends, correlations, and anomalies that predict outcomes. Turn vast amounts of data into actionable insights that lower risks and cut costs across your operations.
Build and deploy custom ML models that personalize user experiences and reveal business insights from your data. Our experts train advanced algorithms like classification and regression models on your specific data to create solutions ready for real-world deployment.
Extract insights from unstructured text to automate processes, personalize experiences, and improve decision making. We build NLP solutions for sentiment analysis, machine translation, text generation, speech recognition, and spam detection tailored to your specific needs.
Create ML powered solutions that analyze images and videos to extract insights, automate processes, and trigger actions in real time. Our computer vision algorithms handle object detection, image classification, facial recognition, video analytics, and OCR to track locations, identify objects, and spot deviations for applications like product inspection and medical image processing.
Build intelligent systems like recommendation engines and automated decision making with deep learning architectures that deliver human-like precision. Our ML developers design, train, and fine tune neural networks using PyTorch and TensorFlow to solve complex business challenges with exceptional accuracy.
Adopt MLOps best practices to speed up your machine learning lifecycle with automated testing, deployment, and continuous monitoring. Ensure optimal model accuracy and reliability while simplifying troubleshooting and keeping your systems running smoothly.
Identify who is speaking and understand what is being said to deliver relevant, real-time responses. These apps execute accurate commands automatically with little to no human intervention.
CASE STUDIES
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Mobile
Healthcare
AI
USPartnered with Adamo, this platform uses real-time biometric data to empower healthcare providers, cut readmissions, and transform chronic disease management.
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Web
F&B AI
AUDesigned and developed by Adamo Software, this solution integrates advanced AI-driven recommendation directly into CRM operations, helping restaurant brands across multiple countries deliver personalized campaigns at scale.
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Web Healthcare AI
EUDeveloped by Adamo Software, the platform empowers healthcare providers to deliver fast, transparent, and patient-centric care.
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AI EUThe client sought to build an AI-powered internal chatbot – similar to ChatGPT – that could answer external queries, provide system-specific guidance, and support employees in day-to-day tasks.
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Insurance AI
GlobalRecognizing the urgent need for automation and accuracy in handling insurance documents, the insurance business partnered with Adamo Software to develop an advanced OCR solution.
ML SOLUTIONS ACROSS INDUSTRIES
OUR PROCESS
PLATFORMS WE WORK WITH
TECH STACK
Python
R
Scala
SQL
C++
Tensorflow
Scikit-learn
SciPy
PyTorch
Power BI
Tableau
Qlik
Matplotlib
My SQL
PostgreSQL
MySQL
MongoDB
CouchDB
Cassandra
Hadoop
Amazon Web Services
Google Cloud Platform
Microsoft AzureRELATED SERVICES
FAQ
Machine learning enables systems to learn from data and solve a wide range of business problems, including classifying information such as spam or fraud, predicting outcomes like demand or pricing through regression, grouping customers or products using clustering, detecting anomalies such as errors or unusual behavior, and delivering personalized recommendations for products or content.
Fine-tuning an existing machine learning model typically takes around 2–6 months, depending on the complexity of the data and the specific use case, while building a model from scratch can require 6–18 months or longer due to the additional time needed for data collection, training, testing, and validation.
Machine learning models can work with both numerical and categorical data, as well as any data that can be transformed into numbers, including text, images, audio, video, graphs, and tabular datasets. When available data is limited or low quality, we support data collection and apply techniques such as data augmentation and synthetic data generation to enrich existing datasets, choosing the most suitable approach based on the problem at hand.
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