Custom LLM applications — AI copilots and assistants
Custom LLM applications go beyond generic AI — purpose-built copilots, document analysers, and assistants on GPT-4o and Claude. — purpose-built AI for your exact context, data, and workflows. We build copilots, document processors, internal assistants, and analytical tools tailored specifically to your business.
Generic AI tools create new problems
instead of solving old ones
No Business Context
ChatGPT doesn't know your products, your customers, your tone, or your processes. Generic output requires hours of editing to be usable.
You Can't Use Proprietary Data
Pasting sensitive business information into a public AI tool is a security and compliance risk. Your data should never leave your infrastructure.
Switching Between Tools
Copying content from your CRM into ChatGPT, copying output back, then formatting it manually defeats the purpose of using AI at all.
No Learning or Improvement
Generic tools don't learn from your feedback. Every interaction starts from scratch with no institutional knowledge of how you work.
Custom LLM apps we build
Outcomes, not just deliverables
We don't sell features. We sell results. Here's exactly what you'll walk away with.
Trained on Your Business Data
Your products, tone, processes, and policies embedded into every interaction - accurate and on-brand from day one.
Deployed in Your Infrastructure
Runs in your AWS, Azure, or GCP environment. Your data never leaves your systems.
Integrated Into Existing Tools
Accessible inside Slack, Teams, your CRM, or your own web app - wherever your team already works.
Fine-Tuning & System Prompts
Beyond RAG - we fine-tune models on your specific data when maximum accuracy is required.
Role-Based Access Controls
Different team members see different capabilities, governed by your existing authentication system.
Usage Analytics & Feedback Loops
Track usage, identify accuracy gaps, and improve continuously based on real usage data.
Built differently.
Delivered differently.
How we turn your vision
into working software
Common questions
Primarily GPT-4o and Claude 3.5 Sonnet for most applications. We also work with Mistral, Llama 3, and open-source models when data privacy or cost requirements make them preferable.
Yes, for use cases where RAG alone isn't sufficient - highly domain-specific language, proprietary terminology, or consistent output formatting. Fine-tuning adds cost but dramatically improves performance for the right applications.
We deploy in your cloud account. Your data is encrypted at rest and in transit. No data is sent to model providers for training. We work to your specific compliance requirements - GDPR, HIPAA, SOC 2.
Always. We sign mutual NDAs before any data, systems, or architecture discussions. Your intellectual property is protected from the first conversation.
We set baseline metrics before we build - time spent on the task, error rate, output quality. We measure against these at 30, 60, and 90 days post-launch. Most clients see payback within 3–6 months.
Ready to put your business data to work?
Book a free discovery call. We'll identify the highest-value LLM application for your business and map out exactly what it would take to build it.