Our AI Outsourcing Expertise

With deep AI outsourcing expertise, our team of AI scientists and engineers helps businesses turn complex challenges into scalable solutions. We collaborate across industries — from healthcare and finance to manufacturing — translating cutting-edge research into real-world AI/ML innovations.
AI/ML Development Services

Generative AI
[01]

LLMs
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AI Agents
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Scale Faster With Trusted AI Outsourcing Expertise

We foster breakthroughs that redefine possibilities in AI through innovative engineering and a commitment to responsible development.

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Free consultation
No obligations

[Our impact]

Built on Proven Success

40+

Clients

40+

AI Projects

41

Publications

35

AI Professionals

7+

Years in AI/ML RnD

[AI OUTSOURCING CAPABILITIES]

How We Bring AI to Work

Our approach to AI and Machine Learning is powered by two specialized and collaborative teams.
The Innovation Engine (AI Research)
Our AI Research division, part of our core R&D, is dedicated to exploring the frontiers of artificial intelligence.

They conduct foundational research and develop cutting-edge solutions that keep our AI outsourcing capabilities at the forefront of the industry.

The Solutions Architects (AI Engineering)
Our AI Engineering team takes this deep knowledge and applies it directly to client projects.

They are experts in translating complex AI concepts into practical, scalable solutions that solve real-world business challenges and deliver tangible value.

Meet Our Team

Our AI team architects custom solutions that power your business transformation.

Top-class AI professionals

We leverage a team of top-tier AI experts - senior analysts, AI consultants, elite developers, and R&D specialists with proven success at international AI conferences and competitions.

A wealth of experience

With our 7+ years of research and product development for customers of all sizes, our AI professionals specialize in AI strategies and custom AI development that harness your business transformation.

Unmatched AI capabilities

Sun* is your trusted partner in AI transformation with capabilities in a wide range of areas in artificial intelligence including NLP, computer vision, data science, recommendation systems, and more.

Proudly certified in AI/ML excellence

Our AI team's expertise is validated by industry-recognized certifications, ensuring we deliver cutting-edge and reliable AI and Machine Learning solutions
Azure AI Engineer Associate
Azure Data Scientist Associate
Neo4j GraphDB Certificates
Azure Data Analyst Associate
Fabric Analytics Engineer Associate

[Tech Stack]

Our AI/ML Tech Stack

Architecting next-gen AI outsourcing solutions with our core AI/ML tech stack.
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TECH STACK
Security in AI
•Information Security
•Steganography
•Secure Data Transmission
•Deep Convolutional Neural Network
Core ML & Data Science Libraries
Generative AI & LLMs
Audio Processing & Speech
Computer Vision
Recommendation Systems
Vector Databases & Retrieval
Natural Language Processing (NLP)
•Information Security
•Steganography
•Secure Data Transmission
•Deep Convolutional Neural Network

[Latest Publications]

New paper approved in Computing Conference

Our paper “ESSL-Polyp – A Robust Framework of Ensemble Semi-Supervised Learning in Polyp Segmentation“ has been approved in the Computing Conference 2023 (formerly called Science and Information (SAI) Conference).

New paper approved in RIVF

Our paper “SunFA – An open-source application for behavior analysis in online video-conferencing“ has been approved in the RIVF International Conference on Computing and Communication Technologies.

New paper approved in ICONIP

Our paper “DAMFormer – Enhancing Polyp Segmentation through Dual Attention Mechanism“ has been approved in the The 2023 International Conference on Neural Information Processing (ICONIP2023).

New paper approved in BDCI

Our paper “M3C-Polyp: Mixed Momentum Model Committee for Improved Semi-Supervised Learning in Polyp Segmentation“ has been approved in the 3rd International Conference on Big Data and Computational Intelligence (BDCI 2023).

New journal published in The Computer Science Journal

Our journal “A Hybrid End-to-End Approach Integrating Online Learning into Face Identification System“ has been published in The Computer Science Journal (by the AGH University of Science and Technology, Krakow Poland).

New paper approved in IEEE KSE

Our paper “Online pseudo labeling for polyp segmentation with momentum networks“ has been approved in the 14th IEEE International Conference on Knowledge and Systems Engineering.

Get Our Expert Guidance On Your AI/ML Strategy

Leverage our deep cross-industry AI outsourcing expertise to architect AI/ML strategies that deliver clear business value, optimize resource allocation, and drive measurable ROI.

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Free consultation
No obligations