LLM Integration & AI Copilots Inside the Software You Already Run
The most useful AI is rarely a new product. It is a capability added to something your team already uses every day (drafting, summarizing, answering, classifying) inside the application you have.
When you need this
Your team spends hours on work a language model could do in seconds, but the model has no access to your product, your data, or your permissions.
Integrate LLMs into existing applications and workflows to give teams and customers intelligent capabilities.
Let's Get Started- Copilots in your product
In-app assistants that draft, summarize, and answer using the data and context the user already has open.
- Grounded, not guessing
Context assembly and tool calls wired to your real systems, so answers come from your data rather than the model's memory.
- Model choice on merit
Hosted and open-source models evaluated against your accuracy, latency, cost, and data-residency constraints.
- Guardrails and evaluation
Output validation, fallbacks, and a way to measure answer quality before release and after it.
What we work in
The tools this work runs on, and what each one is here for.
ClaudeReasoning, tool use and long documents inside your product.
OpenAIGPT models where they score better on the task.
Google GeminiMultimodal input and very long context windows.
Amazon BedrockModels inside your AWS account, under its access controls.
Azure OpenAIOpenAI models under an existing Microsoft agreement.
Model Context ProtocolOne standard interface from a copilot to your systems.
The rest of what we build
Most engagements touch more than one of these. Start wherever the problem is.
AI Workflow Automation
Automate repetitive business processes using AI, APIs, agents, and existing business systems.
RAG & Enterprise Knowledge
Build AI systems that securely retrieve and use your company's data, documents, and knowledge.
Custom AI Applications
Design and build AI-powered applications around your specific business requirements, data, workflows, and users.
AI Architecture & Infrastructure
Design the architecture, data pipelines, model integrations, security, monitoring, and infrastructure required to operate AI systems reliably.
AI Modernization
Take existing AI work, including prototypes, notebooks, and early integrations, and turn it into a reliable production system.
Start With a Focused Use Case
ArcusScale can help identify a practical opportunity and build a focused pilot before committing to a larger implementation.