Reusable AI code library, made for you
Production-ready, pre-built, and battle-tested AI code modules built specifically to handle the complexity of enterprise AI. Explore the library ↗
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Skip the infrastructure work and ship faster
While most organisations are still figuring out how to move from pilot to production, we have already done it. Multiple times. At scale. For some of the world's most demanding clients. Most organisations do not lack ambition when it comes to AI. What they lack is the bridge between a promising proof-of-concept and a product that actually delivers value in production.
Every project faces the same hard problems: document parsing, chunking strategy, vector search quality, query accuracy, hallucination handling, and enterprise integration.
Most teams spend months solving those foundational challenges before they've built a single feature for the end user.
We have already solved those problems. You should not have to.
Code extracted from deployments that survived real data, real edge cases, and real compliance requirements. It handles 100M+ customer records and automates complex workflows at enterprise scale.
A proven methodology for building and scaling intelligent products with a clear path from idea to value, and defined deliverables at every stage.
Document loading, parsing, chunking, vector stores, and AI agents wrapped into a single toolkit, so your team can skip the infrastructure and focus on solving real business problems.
Production-ready, pre-built, and battle-tested AI code modules
Ground your AI agents with proper document processing including source references and page-level attribution.
Handle complex PDFs that other parsers cannot including tables, charts, and images using Vision Language Models.
Production-ready AI agents with streaming responses, tool calling, and built-in error handling.
Built for Azure, AWS, and Databricks from day one with enterprise security and evaluation frameworks.
Knowledge locked in documents?
Build enterprise document search and retrieval that actually works. Process thousands of PDFs, reports, and knowledge base articles in seconds. Get precise answers with source references, no manual searching required.
Data team bottleneck?
Automate data extraction and transformation from business questions to database queries. Free your analysts for higher-value work instead of fielding repetitive requests.
Sales team spending days prospecting?
Deploy AI-powered lead scoring and prospect identification at scale. Turn messy lists of thousands of companies into a ranked shortlist your team can act on immediately.
Customer support cannot scale?
Build intelligent customer support automation grounded in your knowledge base. Consistent answers, fewer escalations, and support that scales without scaling headcount.
Compliance team drowning?
Streamline compliance document processing across policies, regulations, and audit files. Surface relevant information in seconds.
Custom AI solution needed?
Tell us what you are trying to build. We will show you how fast we can move.
How IKEA is leveraging the power of LLMs to democratize customer insights
Aryan Aras
Global Customer Experience Management Lead
Unlocking 100M+ customer insights at IKEA We built the Pulse CX Chatbot: an AI assistant combining NLP, Text2SQL, summarisation, and on-demand data visualisation over 100M+ customer entries with global franchise coverage.
Building a Production-Ready AI Engine for a Global Agri-Business Leader
Agri-Business Leader
Innovation sector
A global leader in the agricultural innovation sector, with operations spanning continents, correctly identified AI as a critical driver for future growth. With a clear ambition to leverage data for everything from predicting customer churn to analyzing market trends, the organization had launched several AI initiatives. However, translating this ambition into a scalable, self-sufficient, and value-driven capability proved to be a complex challenge, revealing deep-seated process and cultural hurdles common in large, established enterprises.
Reimagining Merchandising with AI at Albert Heijn
Albert Heijn
Supermarket chain
Albert Heijn, the Netherlands’ largest supermarket chain and part of Ahold Delhaize, is known for its data-driven approach to retail. As part of its broader digital transformation, the merchandising team sought to explore how generative AI could enhance decision-making, streamline operations, and unlock new efficiencies.
Reflex AI accelerators are a reusable AI code library designed to handle the complexity of enterprise AI. They handle the infrastructure, so your team can focus on business challenges instead of rebuilding common components.
AI frameworks require your team to assemble components and build infrastructure. Pre-built modules like Reflex come production-ready with document loading, parsing, chunking, vector stores, and AI agents already integrated, significantly reducing implementation time.
Yes. If you need a custom AI solution, Riverflex works with you to identify and build what you need. The team is skilled in delivering AI systems that handle 100M+ customer records and automate complex workflows at enterprise scale.
Timelines depend on your requirements and organisation's size. After understanding your needs, we equip your Reflex module with clear documentation, defined integration points, and staged deliverables, giving you a clear timeline from idea to value.
Yes. Reflex modules are built for Azure, AWS, and Databricks from day one with enterprise security and evaluation frameworks included.