Best practices
Dec 6, 2024
25+
AI Solutions delivered
5
In-House AI products
3+years of expertise
working with GenAI models and LLMs
POCin2 months
Feasibility assessment and AI strategy included
GDPR, HIPAA, AI ACT
Best data security regulations applied
Andrii Bas
Generative AI Expert at Uptech
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Dyvo.ai for Business
Dyvo.ai for business is a generative AI tool that helps quickly create precise, brand-aligned images from your selfies in just 10-15 seconds.
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View Case Study
Angler AI
Angler AI is an AI-powered platform that helps brands significantly improve customer acquisition and lifetime value.
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View Case Study
POC
We developed a PoC for a medical records summarizer using AI and NLP. It automates the extraction of relevant information from medical records. This tool boosts efficiency, supports medical decisions, and improves patient care.
“Uptech is a great partner for software and web development projects. I was impressed with the talent level for each of the roles, including design, front-end, back-end.”
Indy Sheorey CO-FOUNDER & CTO, ANGLER AI
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Machine learning software development services can bring value to practically any industry — whether it’s fintech, healthcare, or any other sector.`
Customer support
Fraud detection
Investment advice
Risk management
Customized property listings
Tenant support
Interactive virtual tours
Mortgage assistance
Medical imaging
Symptom checking
Telehealth support
Hospital management optimization
Tailored product recommendations
Sales forecasting
Customer support
Dynamic pricing
Warehouse management
Route optimization
Demand prediction
Predictive maintenance for vehicles
01
At Uptech, the ML development process starts with understanding your specific needs and challenges. During our initial consultations, we focus on general aspects to pinpoint key machine-learning requirements and target audiences. This way, we ensure our solutions are optimally tailored to your business context.
02
As an AI & ML development company, we know how crucial it is to assess the feasibility of the proposed machine learning solution through a proof-of-concept (PoC) stage. This phase allows us to demonstrate potential impacts and adjust our strategy based on initial feedback and performance metrics.
03
Our team collects and prepares the necessary data for model training by cleaning, normalizing, and augmenting it when needed. Quality data is the foundation of effective machine learning development, so we make sure every data item is relevant to the task and reliable. If you have your data prepared, we work with it.
04
Our Machine Learning Model Development service covers the full spectrum of the model lifecycle, from data preprocessing to model training to its validation and deployment. With advanced algorithms and tools, we build customized models for each specific business case, ensuring high performance and scalability.
05
At this phase, accurate fine-tuning and hyperparameter optimization happens. Uptech trains and iteratively adjusts the ML model using the prepared data. We focus on optimizing parameters for better performance and ensuring the model meets all accuracy and efficiency standards.
06
Next, our ML specialists test the model to evaluate whether its performance is as expected. This critical assessment helps us refine the machine learning solution so that it delivers reliable and accurate results under various conditions.
07
Finally, Uptech deploys the machine learning model in the business app context. We check the model’s performance against real-world data and retrain it if needed before complete implementation. Post-deployment, we provide ongoing support and maintenance.
Our machine learning development services are here to help you get the most out of this technology. Discover the advantages of working with us:
Our engineers have over 3 years of AI and ML expertise across 5 industries. Skilled in various programming languages and tools, we ensure high-quality standards, detailed documentation, and effective project management.
At Uptech, we adopt a lean approach to ML strategy development. We start with product discovery, create a proof of concept, and evaluate feasibility, ensuring optimal resource use and setting your ML projects up for success.
Uptech is committed to complying with all applicable data security laws, including GDPR, HIPAA, and the AI Act. We begin every project with a signed NDA, which guarantees your data remains protected and confidential.
Security is a key pillar of our data governance framework. We maintain high data management standards to protect your company and customer information, ensuring compliance with all relevant laws.
The integration of ML models into existing systems can be complex, but we approach it with clarity and deep expertise. Our team offers extensive integration support, managing technical challenges to ensure flawless operation and optimal performance.
We offer machine learning software development services of excellent quality. You can hire the best AI and ML engineers at Uptech and choose the collaboration model that suits your business needs and budget.
As a Machine Learning development company, Uptech uses all modern ML techniques to develop robust apps with enhanced functionality and user experience.
Supervised Learning (Classification, Regression, etc.)
Semi-Supervised Learning
Unsupervised Learning (Clustering, Outlier Detection, etc.)
Reinforcement Learning
Probabilistic ML
Deep Learning Neural Networks, Transformers, Diffusion Models
Computer Vision (Image Classification, Image Segmentation, Object Detection, OCR, etc.)
NLP (Text Classification, Sentiment Analysis, Text Summarization, Text Generation, etc.)
Python
SQL
C++
Scikit-learn
SciPy
Tensorflow & Keras
PyTorch
PyTorch Lightning
Amazon SageMaker
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Recent insights on Gen AI software development from our experts.
Answers to questions you may have about ML development services.
Machine learning is an area of technology focused on developing algorithms that enable machines to learn from data. Once trained, these machines can make decisions and predictions on their own when they see new information. For example, a machine trained with images of various vehicles can learn to identify whether an image contains a car, a truck, or a motorcycle.
Artificial intelligence (AI) is a system designed to perform tasks that would normally require human intelligence, such as understanding natural language or recognizing patterns. Machine learning is a subset of AI where the system learns and improves on its own by analyzing data and making adjustments without human intervention.
Machine learning can be applied to create diverse applications such as predictive healthcare diagnostics, financial market analysis, personalized retail recommendations, and content personalization for streaming services, to name a few.
A machine learning developer designs and builds algorithms that enable computers to learn from and make decisions based on data. They are responsible for creating models, training them on data sets, integrating them into existing systems, and continuously improving their performance based on feedback.
The machine learning development process typically consists of the following steps:
Step 1: Project planning
Step 2: Data collecting and preparing it
Step 3: Choosing or developing an ML model
Step 4: Training the model on prepared data
Step 5: Evaluating the model and parameter tuning
Step 6: Deploying the ML model and maintaining it
To hire Uptech’s ML development team for your project, please follow these 4 step
That’s it. We are ready to bring your ML project idea to life.
The costs for simple ML systems start at around $10,000, but for more complex, technology-intensive projects, costs can exceed $200,000. For a more accurate estimate, we need a detailed project scope. Tell us about your project and get a free estimate.
Get a free consultation with our ML experts and receive a project estimate today.
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