Services
Smart AI Integration, Tailored to You
We help teams deploy intelligent document workflows using RAG pipelines, private LLMs, and seamless backend integration. Based in Utah — fully remote, fully committed.
How We Help
Explore our core service areas below
We help you self-host, containerize, and scale large language models that understand your specific data and goals.
Retrieval-augmented generation connects LLMs to your internal data, enabling accurate, verifiable responses grounded in your content.
We build APIs that integrate with your existing apps — Slack, Notion, SharePoint, or your own stack — for seamless AI access.
Enable internal teams to view usage, upload files, and manage settings through simple, secure interfaces.
Turn unstructured content into searchable vector indexes — PDFs, spreadsheets, and more — ready for real-time LLM queries.
Utah-based but working globally, we’re built for async delivery and rapid integration cycles.
Emerging Capabilities
Contextual Understanding
LLMs paired with vector databases allow for nuanced understanding of large documents — even across formats and languages.
RAG Evolution
Beyond simple Q&A, modern RAG enables summarization, comparison, multi-hop reasoning, and even workflow execution based on your content.
Hybrid Search
Combine keyword, semantic, and metadata filters for precise results and complete transparency over model decisions.
Multi-modal Input
We’re integrating tools for future-ready models that can reason over text, tables, and images — using your business files.
Why Use RAG?
Scalable Knowledge Access
Teams can search internal data without needing to know where it’s stored or how it’s formatted — everything is unified through the LLM.
Reduced Hallucinations
By grounding responses in your own sources, RAG improves trustworthiness and auditability over generic model output.
Flexible Data Ownership
Whether your data lives in the cloud, on-premise, or across both, we build RAG systems that work around your stack and security needs.
Actionable Intelligence
From document search to real-time decision support, RAG helps turn static files into dynamic knowledge.
Build your internal document assistant
Explore how we can help you deploy private LLMs and RAG systems that work with your data — and your workflows.