“Are built by engineers who treat AI integration as a product discipline, not a proof of concept”
Large language models like GPT-4, Claude, Gemini, Llama, and others are among the most transformative technologies available to businesses today. But accessing their full potential requires more than an API key. It requires thoughtful integration, careful data architecture, and expert engineering to make AI work reliably within your existing systems at production scale.
Not every business problem is best solved with an LLM — and not every AI integration delivers the same ROI. We begin with a structured discovery phase to identify the highest-value AI use cases within your business, assess your data readiness, and define exactly what success looks like before any model is selected or any code is written.
We design the complete AI integration architecture — including vector databases, embedding pipelines, retrieval systems, prompt frameworks, and the security and compliance layer required to handle your data responsibly. The infrastructure we build is what separates production-grade AI from prototype-quality experiments.
We build the integration, fine-tune models where applicable, and rigorously evaluate outputs against your defined success criteria. AI systems are stress-tested against edge cases, adversarial inputs, and real-world usage patterns — not just clean demo scenarios.
Production deployment is followed by ongoing monitoring of model performance, output quality, latency, and cost. As your data evolves and your use cases grow, we continuously optimise — retraining, updating retrieval systems, and expanding AI capabilities in line with your business.
We integrate leading model providers like OpenAI, Anthropic, Google, and Meta into your systems, building prompt, context, and response layers for reliable production AI.
We build RAG pipelines that connect LLMs to your documents, databases, and data sources so your AI answers using real business knowledge, not just training data.
Generic models give generic results. We fine-tune LLMs on your data, terminology, and use cases to deliver AI that understands your business and performs beyond off-the-shelf solutions.
We build AI agents that reason, plan, and act—handling complex, multi-step tasks end-to-end with minimal human intervention through coordinated multi-agent systems.
Production AI requires more than API calls, It needs strong data architecture, model evaluation, guardrails, and reliable deployment to scale with your business and evolving data.
Stackup Solutions builds AI integrations that do more than add features — they transform products and business operations with LLM-powered systems that unlock powerful, cost-effective capabilities.
Stackup Solutions builds AI integrations that transform products and operations with LLM-powered systems, unlocking capabilities once impossible or too expensive to build.
Turn passive software into intelligent systems with LLM-powered search, document understanding, recommendations, and conversational interfaces users truly depend on.
AI surfaces the right information at the right moment, giving teams the context to make faster, smarter decisions across sales, healthcare, research, and operations.
RAG-powered AI unlocks knowledge from documents, emails, CRM notes, and teams—making it instantly accessible across your organisation without increasing headcount.
We work across the full AI stack—from frontier models to open-source tools, vector databases, orchestration, and evaluation—tailored to your use case, data, and production needs.
