AI Automation & Orchestration
We build AI automation and orchestration systems that connect data, workflows, and decision layers across commerce environments. From AI assistants and personalization engines to catalog automation and agent-driven workflows, we engineer operational AI infrastructure designed for Shopify, headless, and custom commerce platforms.
AI Assistant Development
Provider of GPT-4 and o-series models — used for AI shopping assistants, product content generation, B2B procurement agent logic, and ACP transaction integration via ChatGPT.
Google Cloud's managed AI platform for production ML model deployment, fine-tuning, and multimodal applications — the infrastructure layer behind UCP integrations.
The AI research company behind the Grok model family — applied selectively in specific AI commerce and research contexts requiring alternative model capabilities.
A framework for building LLM-powered applications — used at B2X for agent orchestration, RAG pipelines, and structured tool use in commerce automation workflows.
An LLM observability platform for monitoring, evaluating, and debugging AI agent behavior in production — tracking prompt performance and decision quality.
An open-source backend platform built on PostgreSQL, offering a real-time database, authentication, and storage API — used for rapid backend development and prototyping.
An open-source workflow automation platform for building AI-augmented business process automations — self-hostable for full data control in DACH environments.
A versatile programming language used for data processing pipelines, AI/ML integrations, catalog transformation workflows, and LangChain-based agentic systems.
A JavaScript runtime for server-side applications — the primary backend runtime at B2X for commerce API services, middleware layers, and MCP endpoint implementations.
A React-based framework for building server-rendered and statically generated web applications. Used as the primary headless storefront layer at B2X — enabling sub-200ms page loads and clean structured data delivery.
Voice Assistants
Provider of GPT-4 and o-series models — used for AI shopping assistants, product content generation, B2B procurement agent logic, and ACP transaction integration via ChatGPT.
Google Cloud's managed AI platform for production ML model deployment, fine-tuning, and multimodal applications — the infrastructure layer behind UCP integrations.
A framework for building LLM-powered applications — used at B2X for agent orchestration, RAG pipelines, and structured tool use in commerce automation workflows.
An LLM observability platform for monitoring, evaluating, and debugging AI agent behavior in production — tracking prompt performance and decision quality.
A versatile programming language used for data processing pipelines, AI/ML integrations, catalog transformation workflows, and LangChain-based agentic systems.
A JavaScript runtime for server-side applications — the primary backend runtime at B2X for commerce API services, middleware layers, and MCP endpoint implementations.
A React-based framework for building server-rendered and statically generated web applications. Used as the primary headless storefront layer at B2X — enabling sub-200ms page loads and clean structured data delivery.
A cross-platform mobile framework for building iOS and Android applications using React — used for commerce-adjacent mobile apps sharing logic with web storefronts.
Amazon Web Services — the primary cloud infrastructure provider at B2X for custom commerce applications, backend services, and AI workloads. EU region deployment available for DACH data residency compliance.
Personalization Engines
Provider of GPT-4 and o-series models — used for AI shopping assistants, product content generation, B2B procurement agent logic, and ACP transaction integration via ChatGPT.
Google Cloud's managed AI platform for production ML model deployment, fine-tuning, and multimodal applications — the infrastructure layer behind UCP integrations.
Google's open-source machine learning framework for training and deploying custom models — applied in computer vision and demand forecasting implementations.
Google's serverless cloud data warehouse for large-scale analytics pipelines, behavioral data processing, and BI reporting on commerce data.
A JavaScript runtime for server-side applications — the primary backend runtime at B2X for commerce API services, middleware layers, and MCP endpoint implementations.
A React-based framework for building server-rendered and statically generated web applications. Used as the primary headless storefront layer at B2X — enabling sub-200ms page loads and clean structured data delivery.
A customer data platform for unified event tracking, cross-platform identity resolution, and data pipeline management across analytics and marketing tools.
Shopify's REST and GraphQL Admin APIs for programmatic access to products, orders, customers, and inventory — the primary interface for custom integrations and MCP data delivery.
Recommendation Engines
An open-source deep learning framework for custom model training, computer vision implementations, and research-grade AI prototyping.
Google's open-source machine learning framework for training and deploying custom models — applied in computer vision and demand forecasting implementations.
An open-source deep learning framework for custom model training, computer vision implementations, and research-grade AI prototyping.
Shopify's REST and GraphQL Admin APIs for programmatic access to products, orders, customers, and inventory — the primary interface for custom integrations and MCP data delivery.
Google's serverless cloud data warehouse for large-scale analytics pipelines, behavioral data processing, and BI reporting on commerce data.
A JavaScript runtime for server-side applications — the primary backend runtime at B2X for commerce API services, middleware layers, and MCP endpoint implementations.
A React-based framework for building server-rendered and statically generated web applications. Used as the primary headless storefront layer at B2X — enabling sub-200ms page loads and clean structured data delivery.
A managed vector database for embedding-based semantic search, product recommendation by similarity, and knowledge retrieval in AI agent workflows.
Deep Learning
A versatile programming language used for data processing pipelines, AI/ML integrations, catalog transformation workflows, and LangChain-based agentic systems.
Google's open-source machine learning framework for training and deploying custom models — applied in computer vision and demand forecasting implementations.
An open-source deep learning framework for custom model training, computer vision implementations, and research-grade AI prototyping.
Google Cloud's managed AI platform for production ML model deployment, fine-tuning, and multimodal applications — the infrastructure layer behind UCP integrations.
Provider of GPT-4 and o-series models — used for AI shopping assistants, product content generation, B2B procurement agent logic, and ACP transaction integration via ChatGPT.
A high-level neural network API for rapid model development and prototyping — used in AI automation projects where fast iteration is more important than low-level control.
An open-source model hub providing access to thousands of pre-trained and fine-tuned models — used where self-hosted AI inference is required for data sovereignty compliance.
NVIDIA's parallel computing platform enabling GPU-accelerated processing — used for high-throughput ML model training and inference in AI-intensive commerce applications.
Computer Vision
A versatile programming language used for data processing pipelines, AI/ML integrations, catalog transformation workflows, and LangChain-based agentic systems.
An open-source computer vision library for image processing pipelines, visual quality control automation, and product photography preprocessing.
Google's open-source machine learning framework for training and deploying custom models — applied in computer vision and demand forecasting implementations.
An open-source deep learning framework for custom model training, computer vision implementations, and research-grade AI prototyping.
Amazon's cloud-based image and video analysis service — used for object detection, visual content moderation, and automated image classification in commerce workflows.
Google's cloud-based computer vision API for image analysis, visual search, and automated catalog enrichment from product photography.
A managed vector database for embedding-based semantic search, product recommendation by similarity, and knowledge retrieval in AI agent workflows.