We promise that AI will do it smarter.
AI & Digital Strategy
Navigate the rapidly evolving field of Al with a clear strategy. We partner with you to develop a strategic Al roadmap and
digital transformation plan that aligns with your business goals, prepares your people, and delivers measurable results, one step at a time.
AI Agents & Workflow Automation
Heyra builds generative AI agents to automate workflows across your organization. These intelligent agents can 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.
Generative AI Solutions
Heyra offers generative AI solutions beyond just agents, helping you apply AI to content creation, knowledge management, and other business needs enabling you to leverage AI for content creation, knowledge management, and more. 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.
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.
Real-time MarTech Solutions
Engage your audience in the moment. We deliver real-time marketing technology solutions that capture data as it happens and respond instantly, enabling personalized customer experiences, up-to-the-minute analytics, and agile campaign optimization.
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.
Tech Stack.
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