[Testseite Überarbeitung] Artificial Intelligence
We provide Artificial Intelligence services designed to help clients leverage the power of AI to drive innovation and improvement. Our team can execute client projects from proof-of-concept to production, providing a range of services including data preparation, model development, testing, and deployment. We work closely with businesses to understand their needs and develop AI solutions that meet their specific requirements and goals. Our expertise in Generative AI includes Large Language Models (LLMs) and other Natural Language Processing methods with a focus on integration, training, hosting, and benchmarking.
Generative AI and Large Language Models
Generative AI
We've already developed and implemented several applications in the field of Generative AI. Some examples of applications include:
Al Assistant for Dataset Discovery via Text-to-SQL
Al Copilot for exposés in the real estate industry
Al Slide Deck generation
Atlassian Jira App Rock your Sprint Review
CaptAIn Bookworm (AI generated children's books)
Image/Portrait generation and editing
Multiple chatbots with and without data interactions
TAIA (TNG AI Assistant)
Text-to-3D Diffusion and Text-to-lmage Model Training
AI Productivity Tools
We also leverage custom AI productivity tools to boost efficiency for software engineering applications such as:
Automated unit test generation (Verlinkung der Landing Page folgt)
Automated end-to-end test generation (Verlinkung der Landing Page folgt)
Automated code migration for Java and language conversions
Code and architecture analysis
AI Research
In the AI Research field, we are experimenting with various approaches and making progress in the following areas:
Model alignment and model surgery, e.g. DeepSeek-R1T2-Chimera
Design and implementation of agentic systems
Design, implementation, and evaluation of chatbots with and without data interaction (RAG)
Creation of a fine-tuned Optical Character Recognition (OCR) AI model based on olmOCR
Robotics: Utilizing teleoperation and reinforcement learning with a Unitree G1 humanoid robot, as well as co-development of the Robot Operating System version 2 and development of ROS/ROS2-applications
Methodical Expertise
All our work on Generative AI is supported by our strong methodical expertise such as:
Model and pipeline evaluation and benchmarking using advanced techniques such as LLM-based assessment
Domain-specific model fine-tuning for e.g. legal tech, source code, and German language
Computer Vision
Our team has expertise in computer vision solutions for image analysis, object detection, and automated quality control across various industries. We can help to develop applications that can interpret and understand visual data, enabling use cases such as quality control, security, and autonomous systems.
Defect detection and quality control in different industries, e.g. agriculture, high-tech manufacturing, and pharmaceutical wholesale
Autonomous driving and flight, including Simultaneous Localization and Mapping (SLAM) as well as controlling
Motion analysis for sports athletes
Biometric identification, including face identification, iris recognition, and Automated Fingerprint ldentification System (AFIS)
Security applications for public spaces
Video anonymization
Touchless gesture feedback
Unattended luggage detection
Classical Machine Learning
We develop and implement also classical machine learning solutions for industrial applications, enabling businesses to optimize processes, improve efficiency, and reduce costs. Some project examples are the following:
Fraud and risk detection in fintech and telecommunications industry
Predictive costing in global supply chains
Size recommender for a webshop
Reinforcement Learning
Our expertise in reinforcement learning empowers us to develop cutting-edge AI solutions tailored to business needs. Projects in the area of industrial process optimization included:
Optimizing Maintenance Decisions with Monte Carlo tree search (MCT)
Satisfiability Problem (SAT) Solving
Automatic adjustment of the steering parameters for an industrial extrusion machine
Platforms & Hosting
We host our AI models on own GPU clusters to maintain control over sensitive data. Our portfolio for clients includes support for on-premises solutions, cloud-services, and edge devices:
On-Premises
Hosting of LLMs and Al Services on a GPU Cluster, including embedding, transcription, translation, and re-ranking
Fine-tuning and training of LLMs
Infrastructure administration
Cloud-Services
AWS ML Services
Azure Al Services and Azure OpenAI
Google Vertex Al
Lambda Cloud
Edge Devices
ESP32
Raspberry Pi with Neural Compute Stick
Nvidia Jetson Nano
Interested?
Contact us via info@tngtech.com or use one of the other contact options to learn more about our AI services. We are happy to support you.