AI development at the speed of imagination™

Heyra means "to listen" in Old Norse

About

Heyra designs, builds, and operates production AI systems that turn data, machine learning, and AI agents into business decisions, automated actions, and measurable topline and bottomline impact.

We combine solid data foundations, rapid experimentation, and enterprise engineering to move AI from prototype to secure, scalable production systems that deliver growth, efficiency, and lasting value in real operations.

Most AI initiatives fail when prototypes never become reliable production systems. Heyra closes that gap with fast prototyping and a proven model for enterprise deployment.

Offerings

Strategy & Adoption

We define where AI creates measurable value in your business, set the right priorities, and build the roadmap to get there. Clear direction before any line of code is written.

  • Foundation — Every production AI system runs on data you can trust. We build and maintain the data infrastructure, pipelines, and governance frameworks that make AI reliable and scalable at enterprise level.
  • Application — We design and build AI applications, machine learning models, and agent systems that turn data into automated actions, better decisions, and measurable business impact.
  • Adoption — AI only delivers value when it gets used. We handle change management, training, and the embedding of new workflows to ensure the systems we build drive lasting impact in real operations.

Agentic AI

Custom built AI assistants that automate workflows, answer questions, and take action across your organisation.

Decision Intelligence

AI driven analytics and decision support systems that surface insights and recommend actions in real time.

Data Foundations

Modern data architecture, pipelines, and governance frameworks that make your data AI ready.

Prototype-To-Production

All projects follow a single delivery model: Problem → Prototype → Production. We validate ideas quickly, then take full end to end responsibility for architecture, implementation, integration, and long term operation.

Software Development

Full stack engineering of web applications, APIs, and integrations built for scale and maintainability.

Method

Problem

We start by deeply understanding the business problem. Through workshops, data analysis, and stakeholder interviews, we identify the highest impact opportunities where AI can drive measurable results.

Prototype

We rapidly build and test working prototypes to validate assumptions. This phase focuses on proving feasibility, measuring potential impact, and gathering real feedback before committing to full scale development.

Production

We take validated prototypes and engineer them into robust, scalable production systems. This includes enterprise level architecture, security, monitoring, and long term operational support.

Selected case studies

Stack

AI Engineering

  • OpenAI Agent SDK
  • OpenAI Go SDK
  • Anthropic Client SDK
  • Google ADK
  • LangChain
  • LangGraph

Data Science

  • scikit-learn
  • XGBoost
  • statsmodels
  • SciPy

Cloud & Data

  • Databricks
  • AWS
  • Google Cloud Platform
  • Azure
  • PostgreSQL
  • Digital Ocean
  • Vertex AI
  • Vercel
  • ChromaDB
  • Pinecone

Backend / API

  • Go
  • Node.js
  • FastAPI

Frontend

  • React
  • Next.js

Mobile Applications

  • React Native
  • Swift (iOS)

Desktop Applications

  • Tauri
  • React
  • Rust
  • Swift (macOS)

Programming Languages

  • Go
  • Python
  • Java
  • Rust
  • Swift

DevOps

  • Docker
  • Kubernetes