Power your business with generative AI and ML. Our gen AI services combine development, integration, and strategy to turn cutting-edge tech into real results.
Take the Assessment Get a Free Readiness Assessmentyears of experience with DACH clients
projects delivering quality
satisfied clients coming from various industries
years of experience with DACH clients
projects delivering quality
satisfied clients coming from various industries
You don’t need an AI department - you need a roadmap. We help you build it, test it, and scale it.
AI and ML can benefit almost every business. Our Generative AI Readiness Assessment helps you see if you're truly ready to take the leap into AI investment.
From content automation to decision support, we work together to define WHAT is possible with AI and how that can bring highest ROI for your business.
We build a targeted, low-risk PoV - a mini solution that proves how generative AI development can drive results. This helps de-risk the investment and sets the foundation for scaling what works.
Once validated, we move to production. Using proven frameworks, cloud tools, and custom AI software development, we deploy a fully integrated solution - ready to deliver value from day one.
AI is transforming call centers by providing useful call summaries and automated knowledge-base updates from the calls summaries. Real-time call transcription enables caller agent efficiency for fast and accurate decisions.
Automated content generation solution helped our client streamline multilingual content creation, reducing manual effort and ensuring consistency across markets. By leveraging GenAI, they improved efficiency, scalability, and content quality—empowering their team to focus on strategic tasks.
You already have the data - documents, processes, transcripts, support logs. With RAG, we turn your internal knowledge into intelligent, searchable answers using the latest LLMs.
We help you find, label, and curate high-quality datasets - whether structured, semi-structured, or unstructured - ensuring your AI systems are trained on the right data from the start.
We clean, enrich, and merge sensitive data from multiple sources. The result? Structured, reliable inputs optimized for AI integration and generative model performance.
Chunking and embedding are foundational to RAG systems. We fine-tune both for accuracy and performance - because even small details impact results at scale.
RAG Frameworks are the glue code that stick data chunking and embeddings.
OpenAI
MLflow
Hugging Face
LangChain
Amazon Bedrock
At Intertec, we define Generative AI as the next evolution of intelligent automation - a technology that creates content, ideas, and solutions by learning from large datasets. Unlike traditional AI that classifies or predicts, generative models can produce new text, images, code, and more. We help businesses unlock the potential of this technology by building custom solutions that align with their goals - whether it's enhancing customer support, accelerating product development, or transforming business workflows.
The key difference lies in capability. Traditional AI is great for analyzing data, making predictions, or automating repetitive tasks. Generative AI, on the other hand, can create - making it ideal for use cases like conversational agents, personalized content, and intelligent assistants.
At Intertec, we bring both approaches together. As a trusted nearshore development partner, we integrate generative AI services into our clients’ systems to deliver scalable, real-time solutions that go beyond automation - enabling smarter, more adaptive business experiences.
Generative AI is reshaping customer service by enabling faster, more natural, and scalable interactions. AI-powered chatbots and virtual assistants can handle complex queries using human-like language, reducing wait times and freeing up human agents for high-value conversations. Beyond chat, generative AI can assist in drafting personalized responses, creating multilingual support, summarizing customer interactions, and analyzing sentiment in real-time. This leads to improved satisfaction, better efficiency, and stronger brand loyalty.
Generative AI models enhance customer service by automating high volumes of support requests with contextual accuracy. These models can interpret a customer’s intent, generate tailored responses, and even adapt to different tones or communication styles. For agents, generative AI can offer real-time suggestions, surface relevant knowledge base content, and streamline documentation through automated summarization - reducing workload and improving first-contact resolution rates.
For businesses, generative AI enhances the customer experience by enabling 24/7 intelligent support, faster query resolution, and hyper-personalized communication. AI models can generate responses that reflect brand tone and empathy, making interactions feel more human. Additionally, they can analyze large sets of feedback data to uncover pain points, trends, and improvement areas - empowering businesses to proactively refine their service strategies.