We promise that AI will do it smarter.
AI & Digital Strategy
We work closely with your team to build a digital strategy that fits your business. As your partner, we help you choose the right tech stack, map out key processes, and find the tools that make the most sense for your organization. Together, we look at where workflows can be improved, where automation makes a difference, and where AI agents can take over repetitive tasks. It’s a step-by-step approach to make your work smarter and more efficient.
Stay on top of AI advancements with a clear plan. We work with you to create a step-by-step strategy that fits your business goals, supports your team, and delivers real results.
AI Agents & Workflow Automation
Heyra builds AI agents to automate workflows across your organization. These intelligent agents work alongside your team. They can carry out tasks, answer questions, and make routine decisions, augmenting your team’s capabilities and freeing up employees for higher-level work.
Heyra creates AI-powered assistants that help automate everyday tasks in your organization. These smart assistants work alongside your team, handling repetitive work, answering questions, and making simple decisions. This allows your employees to focus on more important and strategic tasks.
Generative AI Solutions
Heyra offers generative AI solutions beyond just agents, helping you apply AI to content creation, knowledge management, and other business needs. We design and implement custom AI systems that generate text and insights tailored to your business. From intelligent knowledge bases to creative content generation, secure and scalable.
Heyra goes beyond AI assistants, helping you use AI for content creation, organizing information, and other business needs. We design AI systems that generate text and insights tailored to your company, whether it’s building smart knowledge bases or creating content in a secure and scalable environment.
Web & Mobile App Development
Create engaging digital experiences. We build intuitive web and mobile applications from the ground up – from user-centric design to scalable development – often infused with AI capabilities to enrich functionality and user experience.
- Move from idea to MVP in record time
- Test real use cases with working prototypes
- Iterate quickly based on user feedback
Bring your ideas to life. We design and build easy-to-use web and mobile apps, often with AI features to make them smarter and more helpful.
- Get from concept to a working prototype fast
- Test real-world use cases with hands-on prototypes
- Quickly improve based on user feedback
Real-time MarTech Solutions
Engage your audience in the moment. We deliver real-time MarTech solutions that capture data as it happens and respond instantly, enabling personalized customer experiences, up-to-the-minute analytics, and agile campaign optimization.
Connect with your audience in real time. We build marketing technology that tracks live data and responds instantly, allowing for personalized experiences, real-time insights, and quick campaign adjustments.
Data Engineering, Analytics & Machine Learning
Heyra’s Data Engineering, Analytics, and ML offerings turn data into actionable insights. We design robust pipelines and deploy predictive models for real-world applications, whether for personalized recommendations, automated A/B testing, or route optimization in logistics.
Heyra helps businesses make sense of their data and use it to drive smarter decisions. We build reliable systems to process data and create predictive models that solve real-world problems—like suggesting the right products, testing what works best, or finding the most efficient delivery routes in logistics.
Adaptable Technology Suiting
Your Needs.
Widely used programming-language in AI & ML development, as well as for Data Science.
Framework for building AI Agent applications powered by large language models.
Development toolkit for creating AI agents that use OpenAI models
Google Cloud service for building AI agents, custom chatbots, and virtual assistants.
Google Cloud service that enables semantic and keyword-based search across enterprise data.
Low-code automation tool to build AI agents and workflow automation tools connecting third-party apps and services
Platform for building and managing LLM-based apps and agents.
Open standard released by Anthropic for feeding structured data such as documents, code, and web results into AI models.
Converts text into numeric vectors that capture meaning, making it possible to match user questions with relevant context during retrieval.
Database designed to store and search vector embeddings efficiently, used to retrieve relevant information in RAG workflows.
Module that handles retrieving the most relevant documents or data based on a user's query, using embedded vectors.
Service that stores and searches vectors generated by OpenAI models, enabling fast retrieval of matching content for use in RAG pipelines.
Built-in service from OpenAI that integrates embedding, vector storage, and retrieval to automatically fetch relevant data to support RAG applications.
machine-learning model that combines multiple decision trees to predict a class label, such as categories or outcomes with defined options.
Ensemble model that averages results from many decision trees to predict a continuous numeric value.
High-performance gradient boosting model that predicts class labels by combining many simple models to improve accuracy.
Gradient boosting model that predicts numeric values by minimizing error through iterative learning.
Model that predicts a continuous value by identifying a straight-line relationship between input features and the target.
Statistical model that predicts the probability of a binary outcome, commonly used for classification problems.
Model that predicts either a class label or a numeric value based on the closest data points in the training set.
Ensemble method that builds models in sequence to predict either categories or continuous values with improved accuracy over time.
Fast gradient boosting model that predicts class labels or continuous values, optimized for large datasets and high performance.
Open-source deep learning framework used for training and deploying neural networks.
Flexible deep learning library
Machine learning library in Python for data mining and analysis, including classification, regression, and clustering.
Core library for numerical operations in Python.
Additional tools for scientific computing, optimization, integration, and signal processing.
Data manipulation and analysis library.
Family of language models developed by OpenAI.
Multimodal language models from Google DeepMind.
Latest generation of Anthropic’s AI models
In-house language models by Perplexity AI, designed to power its AI search engine
Re-trained version of DeepSeek's R1 model for reduced training data bias.
Open-source reasoning LLM developed by DeepSeek
AI model developed by xAI
Meta’s open source family of large language models
Fine-tuned open source variant of Meta’s Llama models developed by NVIDIA
Minimalist web framework for Node.js.
PHP framework for web application development.
Progressive Node.js framework for building efficient, reliable server-side apps.
JavaScript runtime for building scalable server-side applications.
Amazon's cloud computing services.
Microsoft's cloud computing service.
Cloud computing provider for developers.
Google's cloud services platform.
Open-source system for automating deployment, scaling, and management of containerized applications.
Platform for developing, shipping, and running applications in containers.
NoSQL database for modern applications.
Popular open-source relational database.
Open-source relational database system.
In-memory data structure store, used as a database, cache, and message broker.
Next-generation ORM for Node.js and TypeScript.
ORM for TypeScript and JavaScript (ES7, ES6, ES5).
Building server-side logic and APIs.
Managing cloud resources and automating software deployment.
Ensuring software quality through testing processes.
Continuous integration and deployment tools.
React framework for server-side rendering and static site generation.
JavaScript library for building interactive user interfaces.
Framework for building native mobile apps using React.
Statically typed, compiled programming language designed at Google.
Popular scripting language for web development.
Typed superset of JavaScript that compiles to plain JavaScript.
Using software tools to perform tests automatically.
Human-driven testing to identify bugs and usability issues.