Agent systems
We shape models, tools, and context into dependable execution loops that can do useful work.
- Orchestration
- Context
- Tool use
- Evaluation
Building signals into systems.
Alomat builds agent systems, language technologies, and full-stack AI products.
Start a conversationAgents · Context · Orchestration · CloudScroll to inspect
What we build
Intelligence needs a system around it.
Language technologies
We build multilingual interfaces that can listen, retrieve, translate, and respond with intent.
- Speech
- Translation
- Retrieval
- Multilingual UX
Full-stack AI products
We carry intelligent products from an operational question to a production-ready surface.
- Product design
- Applications
- Cloud delivery
- Operations
How we work
The model is one component. The system is the product.
- 01
Understand the signal
We begin with the decisions, language, and operational events the system must understand.
- 02
Design the system
We define where models help, where deterministic software leads, and how the parts communicate.
- 03
Build the harness
We surround intelligence with tools, context, evaluations, observability, and clear interfaces.
- 04
Observe and improve
We measure real behavior, trace failures, and refine the system as its environment changes.
Studio perspective
Experience across voice, language, and product.
Our team's experience spans the layers intelligent products depend on—from data and models to interfaces and operations.
Voice systems
From speech data to conversational behavior.
Our team's experience at Aisha included preparing conversational voice data and working with speech-to-text model adaptation. It informs how we think about listening systems today.
Multilingual products
Language models inside real product workflows.
Our team's work at WordExpert spans full-stack product development and the integration of translation models and language models into practical multilingual experiences.
Agent engineering
Models are components. The system is the product.
Our team's current Alomat work focuses on agent orchestration, context engineering, harnesses, and the product surfaces that make intelligent systems usable.
Have a signal worth following?