AI Solutions & Agents
Custom AI that does real work inside your business, built on your data, wired into your systems, and owned by you.
Most AI you see demoed never makes it into production. It works in a slide deck, answers a few questions on stage, and quietly falls apart the moment it meets real data, real edge cases, and real users. We build the other kind. AI that plugs into how your business actually runs, handles the messy cases, and earns its place by doing work a person would otherwise be stuck doing.
That starts with a hard question most vendors skip: does this problem even need AI? Plenty of things that get pitched as AI are better solved with a simple script or a better process. We tell you when that's the case. When AI genuinely is the right tool, we build it grounded in your own data and connected to your own systems, because an AI that cannot see your data or act in your tools is just a clever demo.
And when it ships, it's yours. The agents, the models, the pipelines, the code, all of it belongs to you, running on your infrastructure. You aren't renting intelligence from us month to month. You own a system that keeps working, and keeps creating value, long after we hand it over.
What's Included
AI Agents
Software that takes an objective and works toward it on its own, calling tools, making decisions, and handling multi-step processes. From a single well-scoped task to agents that coordinate work across your whole operation.
Voice Agents
AI that handles phone calls end to end: navigating menus, waiting on hold, talking to live operators, and recording the outcome. Real telephony work, not a chatbot with a speaker.
Copilots & Assistants
In-product AI that helps your team or your customers move faster, grounded in your data so its answers are accurate to your business, not generic.
Retrieval Systems (RAG)
AI that answers from your documents, records, and knowledge instead of guessing. We build the retrieval layer that makes responses accurate, current, and traceable back to the source.
Custom & Fine-Tuned Models
When off-the-shelf models are not enough, we fine-tune and build models on your data for the accuracy, tone, and behavior your use case demands.
AI in Existing Products
You do not need to rebuild to add AI. We wire intelligent features into the web and mobile products you already run, cleanly and safely.
How We Approach It
01
Find the real problem.
We start by understanding the work you actually want done and whether AI is the right tool for it. Sometimes it isn't, and we'll tell you so. When it is, we define exactly what success looks like and what the system has to get right before we build anything.
02
Ground it in your data and systems.
An AI is only as good as what it can see and do. We connect it to your real data and your real tools, the databases, APIs, and systems where the work lives, so it operates on facts and can actually take action, not just talk about it.
03
Prototype against reality.
We build a working version fast and point it at real cases, not cherry-picked examples. This is where you find out whether it holds up, and where we catch the hard edges early, while they're cheap to fix.
04
Engineer it for production, with humans where they belong.
This is the step most AI projects skip and the reason most fail. We build for the messy cases: retries when something breaks, clear handling of what it's unsure about, and a human in the loop for the decisions that warrant one. The system knows what it doesn't know, and escalates instead of guessing.
05
Evaluate, deploy, and monitor.
Before it goes live, we test it against a real set of cases and measure whether it actually performs. Then we deploy it carefully and watch it in production, because an AI system is not a one-time build, it's something that needs to be observed and kept honest over time.
06
Improve it as it runs.
Real usage surfaces new cases and new opportunities. We tune, extend, and harden the system as it works, so it gets more capable and more reliable the longer it runs.
What You Can Build With It
A sense of what this looks like in practice. If your use case isn't here, it's still likely something we can build.
Voice agents that handle verification calls, scheduling, and routine phone work
Back-office agents that move data between systems, reconcile records, and clear repetitive queues
Customer-facing assistants that answer accurately from your own documentation and data
Internal knowledge assistants that let your team ask questions across company data
Document processing that reads, extracts, and structures information from unstructured files
Research and monitoring agents that gather, enrich, and summarize information on a schedule
Multi-agent workflows that coordinate several steps across multiple systems
AI features embedded directly into your existing web or mobile product
Tech We Use
Claude, OpenAI, Gemini, Llama, Mistral, LangChain, LlamaIndex, RAG, pgvector, Pinecone, Qdrant, Weaviate, fine-tuning, Hugging Face, Python, and the databases and cloud services the rest of the system runs on.
Related Work
FAQ
Have an AI project in mind?
Tell us what you're trying to do. We'll tell you honestly whether AI is the right tool, and how we'd build it.