LLM Integration
Integrate large language models into your existing products and workflows. We select the right model for your use case — not just the most hyped one.
// Services //
We build AI products from the ground up, and integrate AI into existing systems when that's the right call. Elysium's engineers understand how large language models work — their capabilities, their limitations, and how to build reliable products around them.
Integrate large language models into your existing products and workflows. We select the right model for your use case — not just the most hyped one.
Retrieval-Augmented Generation systems that let your AI work with your own data, documents, and knowledge bases — accurately and reliably.
Automate repetitive, high-judgment tasks using AI agents and orchestration frameworks. Properly tested, auditable, and with appropriate human oversight.
Build net-new products with AI at the core — from specification and architecture through to deployment and ongoing model management.
Semantic search, recommendation systems, and embedding-based classification using vector databases and modern retrieval techniques.
Help your existing engineering team adopt AI development tools properly — with guardrails, workflows, and code review processes that maintain quality.
Production-grade AI systems require more than a working demo. Our engineers understand the full picture — prompt engineering, context management, observability, and testing — and build AI products that perform reliably at scale.
We approach AI integration the same way we approach any engineering challenge: with rigorous specification, proper testing, monitoring, and an honest assessment of where the technology genuinely adds value versus where it adds risk.
// In production at Elysium //
Our own operations platform runs a 5-agent AI architecture on AWS Bedrock — agents that query our support tracker, search and update our documentation wiki, read Mattermost thread context, and generate daily standup summaries. Every agent acts under the identity of the engineer using it, with a full audit trail. It handles context window limits automatically, compressing conversation history without losing continuity.
We built it because we needed it. The patterns we developed — specialised agents with defined scopes, per-user credential scoping, token-aware conversation management — are the same patterns we bring to client AI projects.
Read the case study// Client Feedback //
TALENT ACQUISITION (OUTSOURCING)
A true partner from start to finish
“Seeing the site finally launch, I'm reflecting on what a great partnership this was with Elysium. They were extremely helpful through the entire process and incredibly patient with the many client comments and post-approval revisions. I can't thank them enough”
TALENT ACQUISITION
A reliable, highly accommodating partner
“Elysium has been a hugely accommodating partner over the last few months. Our team has been incredibly complimentary about their work — and quite right too. It’s a pleasure working with such a supportive team.”
TALENT ACQUISITION
A trusted part of our workflow
“Elysium has been absolutely amazing and a true, valued partner of ours. They have been an incredible asset to our workflow, providing a level of support that is both professional and reliable.”
// GET STARTED //
Get in touch with our Team. No sales process, no pitch decks — just a direct conversation about what you need.