Artificial intelligence has changed the economics of software development. For the first time in decades, the marginal cost of producing code is collapsing. A small team equipped with modern LLM tools can generate APIs, user interfaces, integration layers, and test suites in days instead of weeks. This creates a powerful…
Over the past few years, as a team building AI solutions in enterprise environments, we have been repeatedly asked to consult on new AI automation initiatives. These conversations rarely start with theory.They start with very concrete ambitions. We are asked to: design AI-powered voice agents integrated with core policy systems,…
Voicebot solutions are increasingly being adopted in call center operations as a way to reduce waiting times, lower operational costs, and improve service availability. In practice, however, successfully deploying a voice agent in a real-world business process requires far more than a properly functioning language model. From the INERO team’s…
Implementing an AI-Powered Telephony Service Center with ElevenLabs & LiveAPI Over the past year, advancements in real-time AI models and high‑fidelity speech synthesis have accelerated the development of AI-driven telephony systems. At Inero, we’ve had the opportunity to integrate modern telephony solutions with LiveAPI technology and ElevenLabs’ voice engine to…
Artificial intelligence and Large Language Models are buzzwords heard in nearly every industry. Many companies are wondering how to use them safely and which solution will be the most effective. There are plenty of options—and they’re often hard to tell apart. In this article, we break them down in a clear and easy-to-understand way.
In this article, we’ll break down the data privacy policies of top AI platforms. You will also learn what to do to ensure your data is not used for training Large Language Models (LLM).
In this post, we’ll explore several top open-source lightweight LLMs and how to run them on a local Windows PC—whether CPU-only or with a limited GPU—for document processing tasks.
This article explains what to focus on before deploying an AI agent, which areas of the business need to be well-prepared, and how to avoid common mistakes.
Whether you’re building a custom chatbot, agent, an AI-powered code assistant, or using AI to analyse documents offline, local deployment empowers you to experiment and innovate without relying on external services.
In this post, we conduct a comparative analysis of three popular LLMs—OpenAI’s GPT based models: 4o-mini and o3-mini, and open-source DeepSeek R1—to evaluate their effectiveness in reading and analyzing statistical data from large PDFs.
