Chat that runs on your data, in your tone, inside your workflows.
Generic assistants answer from the open internet, which is why they sound confident and get your business wrong. We build conversational platforms on the other footing: your documentation, your emails, your internal systems, your verified content. The chat understands your business, your customers and your workflows because that is all it is allowed to draw on.
It handles routine queries automatically so your team can hold onto the complex ones. It routes, answers and assists based on real business logic. And it keeps your tone at scale, on the hundredth conversation of the day as much as the first.
Responses come from your verified content and data sources, so they stay factual and consistent.
Repetitive queries and triage handled automatically, freeing people for high-impact requests.
The chat routes, escalates and assists based on your actual business logic, and it knows when a human should take over.
Start on one channel and extend across teams and products without rebuilding.
Working with the team at Shipshape has been really positive. The team were very flexible in addressing our requests. When we encountered problems, they rolled up their sleeves and found solutions for us.
We define where a custom chat earns its keep first: efficiency, experience or support capacity.
We clean, classify and structure your knowledge base. This step decides whether the chat is trustworthy, which is why we refuse to skip it.
Domain-tuned LLMs or retrieval-augmented generation pipelines, chosen for accurate, context-rich responses on your content.
We launch fast, watch real engagement and improve based on live user data rather than guesses.
Governance, security and observability are built in, so every rollout holds the same standard.
Off-the-shelf assistants answer from the open internet and their own training data. Ours answer from your documentation, your systems and your verified content, so responses stay accurate, relevant and in your brand voice.
Yes. We embed chat inside the tools you already run, from CRMs to internal portals, rather than adding another destination your team has to remember to visit.
Every deployment includes human-in-the-loop evaluation, observability dashboards and compliance safeguards, so output quality is measured continuously rather than assumed.
Most bespoke chat systems go from concept to production in 4 to 6 weeks.
All data handling follows enterprise-grade governance, encryption and access control standards, agreed with your IT and security teams before anything is built.
A conversational platform is the most visible thing we build, and the part visitors judge in the first thirty seconds. Whether yours holds up depends on the data underneath it. Talk to us and we will tell you, plainly, whether your data is ready to hold a conversation.
Tell us where your data is today and what you want AI to do. We will come back with a straight answer on what your foundation needs and where the quickest real win is.
Talk to us