Create Measurable Impact Using Artificial Intelligence
Holistic Approach that Spurs Business Outcomes
By blending business strategy, UX design, and deep tech expertise we build practical, user-centric AI solutions for a careful, solution-oriented implementation.
Faster Time to Value
With agile workflows and rapid prototyping, you can validate ideas quickly, minimize risk, and accelerate ROI.
Cross-Industry Track Record
We have successful implementations in healthcare, HR, education, or e-commerce — we know how AI can solve the complex, industry-specific pain points of different workflows.
Flexible Engagement Models to Fit Your Needs
We offer adaptable contracting options and simple onboarding processes for rapid project initiation that accommodates your needs and timelines.
Why Choose Nomtek?
We help companies release AI solutions faster and validate ideas sooner. Prioritizing outcomes, we propel your product to success with dedicated, goal-oriented teams of 2-30 specialists.
Mobile native products, cross-platform apps, AI solutions, and AR/VR products shipped.
Senior designers and developers supported by dedicated product managers.
Active users of a single app over the years.
Average team member experience
AI Development Services
Use AI to cut manual workloads, reduce time-to-market for new features, and identify high-impact use cases before committing to full-scale investment. We can help you with key areas of articficial intelligence implementation.
AI Discovery & Strategy Workshop
Kick-start your AI initiatives with clarity and direction — for organizations seeking a clear vision of how to leverage AI and align stakeholders around a common strategy.
- Identify the areas where AI services can bring the highest value to your business.
- Audit your infrastructure and data to plan the optimal AI implementation approach.
- Develop a strategic roadmap covering an initial proof of concept (POC) and key ROI metrics.
AI Consulting
Navigate complexity with expert guidance — for businesses needing deep technical advisory to bridge the gap between AI ambition and operational reality.
- Optimize existing AI initiatives for performance and cost-efficiency, and alignment with evolving business objectives.
- Evaluate and select the right AI technology stack, from open-source models to proprietary platforms for long-term viability.
- Establish robust data governance and ethical AI frameworks to mitigate risk and ensure regulatory compliance.
Generative AI PoC
Rapid prototyping for validated potential. Perfect for companies looking to explore the business impact of generative AI quickly and get tangible results without a heavy initial commitment.
- Build a basic prototype (e.g., chatbot, content generation, RAG) to quickly test the technical and business viability of your solution.
- Through fast iterations, you minimize risk — invest more only after you see real value.
Generative AI Development Services
Transform operations with creative intelligence — for organizations ready to move beyond experimentation and deploy scalable, high-impact generative AI solutions.
- Build multimodal applications that process text, images, and audio to automate content creation and complex reasoning tasks.
- Develop and fine-tune large language models (LLMs) adjusted to your data and business context.
- Implement advanced retrieval-augmented generation (RAG) systems to ensure accurate, context-aware outputs and minimize hallucinations.
Custom AI Model Development
From prototype to enterprise-grade product — ideal option for organizations needing scalable AI deployments that integrate with production systems and cloud services.
- Design and implement AI solutions that integrate with your existing processes.
- Comply with industry-specific standards (healthcare, finance, etc.) while ensuring robust security and data protection.
AI Integration Services
Embed AI into your ecosystem — for enterprises that need to connect advanced AI capabilities with established workflows and legacy infrastructure.
- Modernize legacy operations by embedding intelligent layers into existing software without requiring a full system overhaul.
- Architect secure API connections between AI models and your core business systems (ERP, CRM, and databases).
- Automate data flows across fragmented environments to create a single source of truth (SSOT) for your AI applications.
AI Agents Development
Automate decisions and actions — best suited for organizations aiming to reduce manual workload and accelerate operations with intelligent, autonomous systems.
- Build AI agents that can delegate tasks and collaborate across tools and workflows.
- Tackle domain-specific logic and complex tasks using single or multi-agent architectures.
- Deploy agents that operate in dynamic environments with minimal human supervision.
AI Chatbot development
Elevate engagement with intelligent conversations — for companies aiming to provide 24/7 support and personalized interactions across every digital touchpoint.
- Integrate intelligent escalation protocols that recognize sentiment and smoothly hand off complex issues to human agents.
- Build sophisticated conversational interfaces powered by natural language understanding (NLU) to handle complex queries without scripts.
- Deploy omnichannel solutions that maintain context across web, mobile, and social platforms for a great user experience.
Computer Vision & AR Solutions
Boost your business with image analysis and immersive experiences. For companies requiring high-precision image analysis, visual search, interactive visualizations, or immersive AR-driven user experiences.
- Employ advanced object detection or recognition and augmented reality for better user engagement (e.g., e-commerce, training).
- Implement vision-based solutions that increase quality control and refine workflows.
Machine Learning & Predictive Analytics
Predict and optimize to stay ahead of the curve. Recommended for organizations that want data-backed decision-making to have greater operational efficiency and strategic planning.
- Design data pipelines and train predictive models for demand forecasting, pricing, user behavior, and more.
- Deploy continuous learning cycles (MLOps) so models adapt to changing market conditions.
How we deliver — Our Process
Our process for artificial intelligence development services is built on experience, precision, and a commitment to delivering results at every stage of the project. We've chiseled out a process that is proven with low risk thanks to rapid iteration.
01
Alignment & risk gates
We agree on a single workflow, a hard success metric, and the non-negotiables (privacy, compliance, uptime). Stakeholders sign off. No coding until the goal and guardrails are clear.
02
Data & architecture
We audit data sources and access, set data contracts, and design an architecture that fits your stack. Security controls, observability, and cost profiles are planned upfront—so what we build can live in production.
03
Prototype under real conditions
We deliver a thin, end-to-end slice that ingests data, makes a decision, and exposes an interface or API. It runs against real workloads where possible. If it doesn’t move the metric, we iterate fast or change course.
04
Production launch
We deploy a hardened service with SLOs, dashboards, access controls, and a rollback plan. Documentation, runbooks, and operator training are delivered before handover.
05
Operations & improvement
We monitor drift, bias, latency, and business impact. Retraining happens on a cadence or when metrics shift. Changes are versioned, reviewed, and logged for audits.
Get Custom AI Development Services
Case studies
Go beyond the obvious. Co-create with teams who value impactful experiences and products.
.webp)
.webp)
.webp)
Automating mortgage underwriting with multi-agent AI
Friday Harbor
.webp)
.webp)
Helping candidates perform better at job interviews using AI
Monster AI
Helping students learn and understand basic math using artificial intelligence
Fibo — AI Math Tutor
Leveraging AI to build a content summarization app for better knowledge retention
taim
Creating a personalized audio listening experience with content curated by artificial intelligence
Audioburst
Transforming Industries with Purpose-Built AI
Generic algorithms rarely solve specific business problems. We combine deep domain expertise with cutting-edge artificial intelligence to build compliant, high-impact solutions. Whether you need to streamline a supply chain, secure financial assets, or personalize patient care, we engineer AI infrastructure that drives measurable growth in your specific sector.
AI Healthcare
Move beyond basic digitization with HIPAA-compliant AI that enhances patient outcomes. From predictive diagnostics and medical imaging analysis to automated patient triage, we build systems that save lives and streamline hospital operations.
AI Automotive
Accelerate the future of mobility. We develop robust AI solutions for autonomous driving systems, predictive vehicle maintenance, and smart manufacturing lines that reduce downtime and improve safety standards.
AI Management
Turn operational complexity into a competitive advantage. Our solutions focus on intelligent supply chain optimization, predictive risk modeling, and custom data management to ensure your leadership team makes data-driven decisions faster.
AI Finance
Secure your assets and optimize capital allocation. We deploy sophisticated models for real-time fraud detection, algorithmic financial forecasting, and automated regulatory compliance to keep financial institutions ahead of the market.
AI Retail
Adapt to customer demand in real-time. Maximize margins with AI dynamic pricing, automate inventory management to prevent stockouts, and deploy workforce optimization tools that align staffing with foot traffic.
AI Ecommerce
Convert browsers into loyal buyers. We implement AI-powered site search, hyper-personalized recommendation engines, and generative product content automation to remove friction from the digital shopping journey.
Enterprise AI
Eliminate silos and operational friction at scale. We build enterprise-grade AI agents, decision support systems (DSS), and document automation pipelines that create a Single Source of Truth (SSOT) for global organizations.
AI Manufacturing
Achieve zero-defect production. Our solutions utilize computer vision for automated quality control, predictive maintenance to prevent asset failure, and digital twins to optimize production scheduling.
"We consider nomtek a partner, not just a vendor. They understand our limitations and problems. Nomtek designed and developed our iOS and Android app. Their deliverables meet our expectations and we are happy with them. We talk nearly every day following an Agile methodology and release on average a version weekly."
AI Technology Picked to Fit Use Case
We prioritize outcomes over tools — selecting the tech stack that best supports your project’s goals and delivers the highest value to end users. Our custom AI solutions are purposefully designed to meet your objectives efficiently, without unnecessary complexity.
Taim — Content Sumarization
To streamline content consumption, we created an AI-powered summarization tool that condenses both video and text materials — regardless of length — into clear, digestible summaries. Built on GPT-3.5 and LangChain, the solution uses a custom text-splitting system to manage longer inputs within the model’s context limits. For performance tracking and analysis, we integrated Helicone alongside LangChain and OpenAI. The application was later reimagined and adapted for Apple Vision Pro, bringing immersive AI-driven summarization to spatial computing.
Wishes — Holiday Wishes Generator
Wishes is an AI-powered app that creates personalized holiday greetings and cards from user prompts, with an optional feature to donate to charity directly within the experience. Behind the scenes, the app combines OpenAI’s language capabilities, LangChain’s orchestration, and DALL·E for image generation to deliver a seamless, custom greeting experience.
AI-Powered Texas Hold’em
We built a prototype of an AI- and AR-powered application designed to support poker players during Texas Hold’em sessions. Using a Lenovo AR headset, the system identifies cards through YOLO-based computer vision, while an integrated large language model offers real-time decision-making support. Developed strictly for educational use, this project does not promote or encourage gambling. The tech stack included OpenAI, YOLO, and Unity Sentis.
Tiny Tales — Safe AI Storytelling
For the Gemini Competition, we developed a solution that combines AI-generated storytelling and visual creativity. Using Gemini to craft engaging fairy tales and Stable Diffusion to produce accompanying imagery, the entire experience was seamlessly integrated within the Google Cloud ecosystem.
Fibo — AI Math tutor
We developed a prototype tutoring app designed to support entry-level students in learning mathematics through step-by-step guidance and concept explanations. To enhance the quality of instruction, we implemented reasoning techniques such as Tree of Thought. In testing, the AI tutor successfully solved the basic-level National Math Exam (Matura), achieving an 80% score.
Build a Custom AI Solution
What to Consider before Creating a custom AI solution
You’re aiming for operational lift but face real risk: unclear ROI, integration delays, and weak adoption. Treat custom AI as a staged investment with hard gates. Start with one high-impact use case tied to a business metric. Budget beyond build, plan the data path, and launch where people already work.
ROI & Total Cost of Ownership
Model the use case P&L (cost per task, time saved, revenue impact). Ship a narrow MVP to a small cohort in production-like conditions within weeks, then decide go/no-go on hard KPIs. Include ongoing spend for data prep and inference. Budget for MLOps, evaluation, and security. Phase funding so larger spend follows proven value.
Don't let Integration be the Bottleneck
Most delays come from plumbing, not modeling. Map data flow end-to-end with system IDs and permissions. Confirm SSO with role-based access, then add audit logging and data residency controls (GDPR/CCPA). Use a modular stack: API gateway, RAG index, and a replaceable model layer. Set latency targets, failure budgets, and fallbacks before rollout.
Adoption & Operational Readiness
Put AI inside existing tools (CRM, help desk, IDE) so habits don’t have to change. Add human-in-the-loop for edge cases and clear ownership for review. Measure active users, task success, and defect rates; iterate by workflow, not by feature. Stand up observability for prompts and outputs, drift alerts, and incident response. Define SLAs and a rollback plan from day one.
