AI Integration into Existing App
Add smart features to your existing product to refresh your offering and create new workflows for faster and accurate outcomes.
New AI App from Scratch
Build a new product with AI at the core to deliver a highly personalized and adaptive experience to users
Why Work With Nomtek?
We create collaborative business relationships where we turn your domain knowledge into a highly usable product. Minimize project redundancies with a partner focused on efficiency.
Years of experience
Projects delivered
AI projects completed
Successful funding rounds for innovative startups we helped build
More accessible Math Tutoring with AI
Fibo: AI Math Tutor is our internal R&D project aimed at exploring the potential of integrating AI into education. Fibo is designed to assist secondary and high school students in understanding fundamental mathematics concepts and practicing them effectively.
By integrating an AI chat feature into our app, which focuses on teaching rather than simply providing straight answers, we made Fibo interactive and engaging. Users can learn and practice their skills using an in-app knowledge base that includes learning videos and quizzes.
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Optimal Ratio of Results & Performance
We provide in-depth product analysis with a dedicated AI expert and product manager to map the exact requirements of your business case. We’ll create a dedicated technology stack for consistent quality in performance, cost, and results.
On-Device AI Integration
For maximum privacy and lower cost. Best when processing sensitive data as computing happens on the end-user's device. Less mobile data used, no AI processing tokens.
AI Cloud Deployment
For performing complex tasks at scale. Refining and automating entire workflows for better employee efficiency. Enables seamless integration across various systems and platforms.
On-Device AI + AI Cloud
For complete control over speed and degree of automation. Create a robust AI application that caters to the diverse needs of different end-user’s, e.g., customers, internal employees, or external contractors.
Case studies
Go beyond the obvious. Co-create with teams who value impactful experiences and products.
Leveraging AI to build a content summarization app for better knowledge retention
taim
Designing a new way of communication using augmented reality and Magic Leap
XR Interpreter
Creating a personalized audio listening experience with content curated by artificial intelligence
Audioburst
AI Technology Picked to Fit Use Case
Technology is secondary to the desired outcome — we always cross-check the project’s requirements and pick the stack that maximizes the quality of the result the end-user receives. Implement AI technologies and models designed to achieve goals without redundancies.
Taim
We’ve built a helpful content summarization application based on GPT-3.5 that created summaries of long- and short-form video and text content. We used LangChain and a sophisticated mechanism for splitting longer portions of text to fit within the ContextWindow. We used OpenAI, LangChain, and Helicone to monitor requests. We then ported the app to Apple Vision Pro.
Wishes
The Wishes app generated holiday wishes and a card based on the user’s prompt. We also enabled donations for charity within the app. Under the hood, we used LangChain, OpenAI’s API, and DALLE to generate images.
AI-Powered Texas Hold’em
A prototype of an AI and AR application that assists poker players. The AR on a Lenovo headset detects cards and the LLM supports decision-making while playing Texas Holdem. Created for educational purposes only. We do not encourage gambling. Tools: OpenAI, Yolo, Unity Sentis.
Tiny Tales
As part of the Gemini Competition, we integrated Stable Diffusion to generate images and Gemini to create meaningful fairy tales and stories. Everything is integrated into the Google Cloud ecosystem.
Fibo
A prototype application supporting entry-level students in learning mathematics. The application acts as a tutor and guides the student by explaining concepts step by step. To increase the tutoring’s quality, we used techniques like Tree of Thoughty In tests, our bot solved the National Math Exam (Matura) at the basic level with a score of 80%.
Squeezer
An internal tool based on the RAG technique. We’ve been collecting in-depth industry news and information for years. Squeezer uses vector databases to more easily extract insights from all that material to make it available to our employees.
Contributions & Partnerships
We’re actively contributing to the AI open-source community — we’ve created an official Mistral AI Client for Dart to help developers building apps in Flutter have easier integration with Mistral AI.
Automate Repetitive Work with AI Agents
To help you figure out what you need to speed up task completion with AI agents, let’s talk over your workflow.
Adaptive Knowledge Base Assistant
Create one reliable AI agent that handles simple tasks to let your workforce focus on more strategic assignments. Best for retail, education, and real estate.
- Simple automation
- Data analysis & reporting
- Troubleshooting chatbots
Multi-Agent Architecture
Use multiple AI agents that collaborate to complete tasks faster and more effectively. Best for fail-proofing complex processes in banking, legal, and healthcare.
- Security & fraud detection
- Supply chain optimization
- Customer relationship management
Artificial Intelligence Use Cases
AI integration into mobile apps and AR/VR apps opens the door to a range of practical applications across various industries. Explore our collection of AI-driven solutions, conceptualized by our team. Each use case highlights the potential benefits of incorporating AI into products to reduce operational costs, simplify complex processes, and give teams tools for more efficient work.
Use Supervised AI for Reliable and Accurate Outcomes
AI results are only as good as the model’s configuration and prompt quality. We have a strict QA process for fine-tuning on production. We engineer predefined prompt rules to guarantee the quality of the outcome, each time.
Pair the speed of generative AI outputs with the accuracy of trusted information guidelines and parameters using Retrieval-Augmented Generation (RAG) (NVIDIA)
AI Implementation Process
Process efficiency is key from the beginning — every AI project starts with an in-depth consultation with a tech expert. We analyze your idea, identify key opportunities, and implement a cohesive development strategy.
consultation
Detail-rich consultation with a dedicated tech expert to talk over the business case.
Analysis
Feasibility, desirability, and viability analysis to ensure the project is practical, appealing to stakeholders, and sustainable in the long term.
Proposal
Overview of possible solutions in the context of your business case. We talk over the benefits and drawbacks of all all identified options.
UX/UI design
Mapping the user experience and designing an intuitive UI to enhance user satisfaction, streamline interactions, and boost overall engagement.
Development
Delivering a solution with the latest AI models to introduce dynamic features. We implement an existing model or develop AI from the scratch. This step includes model training and fine-tuning.
Refinement and evaluation
Iteration and data analysis to see how the product is actually used and identify areas for further improvement.
Optimize the Foundation
A careful analysis of your product’s building blocks can reveal opportunities for automatization without AI. Clever backend features can sometimes be enough to succinctly fulfill many business needs.
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