PyTorch Development Services
PyTorch is a framework for developing and training deep learning models.
DAC.digital Is Your End-to-End PyTorch AI Partner
We provide comprehensive PyTorch development services, such as building a custom neural network, integrating AI into existing software, optimizing PyTorch performance, adding an explainability layer, moving the networks to the edge, and more. We have resources to run the AI project from start to finish, from deep research up to production-grade pipelines, and expertise that extends beyond AI and covers software development, DevOps, hardware integration, UX/UI, and more.
23 Deloitte Fast 50 Central Europe 2023
Deloitte Fast 50
Forbes Technology Council Official Member
Forbes
1000 Europe’s Fastest Growing Companies
2023 & 2024
Financial Times
Polish Company International Champion 2020
PwC
Master of Innovative Transformation 2021
MIT Sloan Review
Let’s Work on Your AI Model
What Can We Do For You?
Full AI Project Development
Get a team that can cover the entire AI project lifecycle, from running an ideation workshop to full deployment. We’ll build you a deep learning model based on PyTorch that’s technically feasible and meets your business needs.
We can run a project end-to-end, but also:
- Consult your in-house team on PyTorch deployment
- Scale a Proof of Concept into fully developed product
- Integrate AI into an existing product
- Transition from R&D to commercial solution
PyTorch Model Optimization
We offer services to help you optimize model architecture, maximize its performance, reduce model size to improve model speed, and strive for sustainable energy consumption. Ask us about the following services:
- Knowledge distillation
- Hyperparameter tuning
- Pruning and quantization techniques
Model Maintenance and Scale
Adapt your existing model to new use cases, improve accuracy, and maintain best performance to keep your solution state of the art. We can do it:
- Integrate MLOps services for PyTorch-based solutions
- Retrain a PyTorch model with new datasets or synthetic data
- Perform federated learning to train decentralized systems or personal edge devices
Transparent and Advanced AI Modeling
Add accountability and transparency to your model by exposing your model’s decision-making process. Apply machine learning to problems expressed in complex data structures by building graph neural networks that can help you detect fraud, optimize supply chains, interact with social networks, discover new drugs, and more.
Hire PyTorch Developers
Build and deploy a PyTorch model with our developers. Get dedicated developers who can plan, execute, and scale PyTorch implementations. Contact us to pick the right fit.
Real-life PyTorch Development Services Case Studies from DAC.digital’s Portfolio
Manufacturing Defect Detection
The project involved developing a computer vision system to detect defects in wood furniture production. The goal was to identify gaps, cracks, or splits in wooden panels. The system successfully spotted 90% of defects, and allowed for earlier detection.
Gaze Estimation
The project aimed to develop an eye-tracking system for in-context market research. Its goal was to create an accurate, real-time gaze estimation solution that works on mobile. The final outcome was a system capable of tracking eye movements without extra equipment.
Photo validation
The project involved developing a computer vision system to detect defects in wood furniture production. The goal was to identify gaps, cracks, or splits in wooden panels. The system successfully spotted 90% of defects, and allowed for earlier detection.
DAC.digital
Can Drive Innovation with
PyTorch Across Those
and Other Industries
MedTech and HealthTech
Develop machine learning models that aid in accurate diagnosis and treatment planning. Create models that analyze input from cameras, sensors, and X-ray scans to recognize symptoms of a disease or poor health.
Supply Chain
We offer services to help you optimize model architecture, maximize its performance, reduce model size to improve model speed, and strive for sustainable energy consumption. Ask us about the following services:
Manufacturing
We offer services to help you optimize model architecture, maximize its performance, reduce model size to improve model speed, and strive for sustainable energy consumption. Ask us about the following services:
Beauty Industry
We offer services to help you optimize model architecture, maximize its performance, reduce model size to improve model speed, and strive for sustainable energy consumption. Ask us about the following services:
Platforms and Auction Apps
Create advanced search algorithms, recommendation engines, and detect fraudulent activities on your site. Leverage NLP and computer vision capabilities to enhance user experience on your platform and auction app.
What Can You Use PyTorch For?
Time-series Forecasting
Predict future behavior based on historical data to identify trends, seasonality, and more.
Reinforcement Learning
Allow AI models to improve themselves by learning through interaction with a real or simulated environment.
Computer Vision
Detect, recognize, and track objects, measure dimensions, and estimate position. Detect structural anomalies in materials.
Robotics and drones
Help robots navigate and handle objects on their own. Make autonomous drones.
Predictive maintenance
Collect data from IoT sensors and use models to predict equipment wear or failures.
PyTorch Deployment and Interoperability
- Deploy models to the cloud and use them as web services or data transformation.
- Deploy models on iOS or Android devices and let users benefit from AI without sharing their private data.
- Optimize and use models on IoT devices or custom embedded platforms.
Already trusted us
Why Develop PyTorch Models with DAC.digital
Experts in AI and ML
Our team has deep expertise in artificial intelligence and machine learning. We specialize in creating customized models across industries.
Both Commercial and R&D Experience
With experience in both commercial applications and R&D, we bring a unique perspective to every project. We can bring innovative solutions to life.
More than a Vendor
We don’t just provide services, we partner with you to help you achieve your goals, and we are here to advise you on the technology should you need that.
Ready to Scale Your Project
We have the resources and expertise to scale your project and provide additional services as needed.
Our Technology Stack
Machine Learning & AI
Scikit-Learn, OpenAI API, OpenMMLab, OpenVINO, Safetensors, SAM2, DINO, OpenCV, Open3D
MLOps
Weights and Biases, neptune.ai, SIGOPT, Optuna
Cloud & Data Platforms
Apache Kafka, Apache Spark, Snowflake, dbt, Argo Workflows, Matillion, Airflow, AWS Sagemaker
Data Analytics
Scikit-Learn, Polars, Prometheus, Grafana, PowerBI, Sweetviz, Seaborn
Explainable AI
LIME, ELI5, omniXAI
Data Management
PyTorch Lightning, MongoDB, Redis, MySQL, PostgreSQL, MS SQL Server, Talend, DWH & Data Lakes, Databricks, Azure Blob Storage, CVAT
Edge ML
Nvidia TAO, Edge Impulse, PyTorch mobile, Embedded systems integration
Frequently Asked Questions
PyTorch is an open-source machine learning framework built on top of Torch by Meta AI (which was known back then as Facebook AI Research Lab) in 2016. Its applications are versatile and include computer vision, time-series forecasting, natural language processing to name just a few. As a framework, it fits naturally with projects that require flexibility and customization.
Yes, PyTorch is a strong choice for 2025 and beyond, especially if you want a framework that’s flexible, developer-friendly, and widely supported by the community.
PyTorch is a TensorFlow alternative. The biggest difference between them is that PyTorch is based on a dynamic computational graph that helps in rapid prototyping and fast debugging, while TensorFlow’s computational graph is static. Both are similar, and we would say it doesn’t matter that much which one would you use, PyTorch or TensorFlow.
Use Our Expertise in PyTorch Development Services
Contact us!
Send us an email: [email protected]