Ship LLM Apps & Agents
We build production LLM products—chat assistants, RAG knowledge systems, and tool-calling agents that turn models into reliable software.
Overview
LLM apps go beyond demos: streaming chat UIs, retrieval-augmented generation (RAG), embeddings, evaluation, and safe tool use. We wire models from OpenAI, Anthropic, and others into real products with the Vercel AI SDK, LangChain-style orchestration, and solid backends.
Why Work With Us
Sutio ships LLM features that users can trust—grounded answers, clear UX, measurable quality, and infrastructure that scales. From SutioBot-style chat to document copilots and workflow agents, we focus on outcomes, not hype.
Technologies
Delivery Framework
Linear Algebra, Probability, and Statistics
To understand and implement different AI models—such as Hidden Markov models, Naive Bayes, Gaussian mixture models, and linear discriminant analysis—you must have detailed knowledge of linear algebra, probability, and statistics.
Algorithms and Frameworks
To build AI models with unstructured data, you should understand deep learning algorithms (like a convolutional neural network, recurrent neural network, and generative adversarial network) and implement them using a framework
Software Design
The next step in the AI software development process is the design phase, this is very time-consuming and will require the AI development lead.
Perception
Machine perception is the ability to use input from sensors (such as cameras, microphones, wireless signals, and active lidar, sonar, radar, and tactile sensors) to deduce aspects of the world. Applications include speech recognition, facial recognition, and object recognition. Computer vision is the ability to analyze visual input.
Frequently Asked Questions
What is the AI development life cycle?
It is the development cycle to create AI solutions. It includes 3 parts: Project scoping, Design, Build phase
Which SDLC model is best?
The answer really depends on your project scope and your development priorities. Generally speaking, Agile is preferred by software programmers due to its time and flexibility focus.