Scoped to a real problem
We start with what's actually broken or slow, not with 'we should probably do something with AI.'
Explore this category
Every AI Development & Integration service in one place
- AI Agents & Workflow AutomationAn honest look at whether the process is actually a good automation candidate before we build anything.See details
- AI Chatbots & Knowledge AssistantsA widget or interface matched to your site's design, not a default chat bubble bolted on.See details
- AI Search Visibility (AEO & GEO)What GPTBot, PerplexityBot, Google-Extended and ClaudeBot can actually fetch and read, checked page by page.See details
- Intelligent Search & RecommendationsA look at where your current search actually fails before recommending a rebuild.See details
- AI Prototype DevelopmentA working version of the core idea, built fast and scoped narrowly around the riskiest assumption.See details
- AI-Built App RescueAuthentication, database rules, exposed keys and permissions checked first, since these are where AI-built apps most often fail.See details
- AI Security and Quality ReviewTested against manipulation attempts, not assumed safe because it works in normal use.See details
Overview
AI as a feature, not the whole pitch
A lot of AI work right now is a demo that never becomes a real feature, or a chatbot bolted onto a site that answers questions worse than a well-written FAQ page would. We treat AI the same way we treat any other technology: useful when it solves a specific problem for specific users, not useful just because it's available.
That means starting with what you're actually trying to fix, slow support response times, a search that returns nothing useful, a manual process eating up hours every week, then building the smallest thing that solves it, using OpenAI, Anthropic or another provider's models as a tool, not the headline.
Why work with us
How we approach AI work differently
Prototype before you commit
A working proof of concept before a full build, so you're not betting a large budget on an untested idea.
Reviewed for the failure modes
Hallucination, prompt injection and cost overruns are real risks we plan for, not surprises you discover after launch.
Honest about ongoing cost
API usage costs money on an ongoing basis. We'll model that cost upfront, not leave you to discover it on the first invoice.
Questions
Common questions about AI projects
4 questions
Which AI providers do you build with?
Mainly OpenAI and Anthropic's APIs, chosen based on the specific task rather than a fixed preference. We'll recommend whichever model fits your accuracy, latency and cost requirements best.
Is our data used to train anyone else's AI model?
Not by default, we architect these systems so your content and data stay yours and aren't used to train third-party foundation models, in line with the API terms of the providers we work with. We'll walk through the specifics for your project before anything's built.
What if the AI feature gets something wrong?
It will occasionally, that's a real characteristic of these systems, not a defect we can promise away. We design around it: retrieval grounded in your actual content, clear fallback behavior, and monitoring so mistakes get caught and fixed rather than compounding unnoticed.
Do you build the AI model, or integrate existing ones?
We integrate existing models (OpenAI, Anthropic and similar) rather than training our own from scratch, which is the right approach for the vast majority of business use cases and a lot more cost-effective than it sounds.
Ready to get started?
Tell us the problem, we'll tell you if AI actually helps
Send over what's slow, manual or underperforming today, and we'll come back with an honest read on whether an AI feature is the right fix, plus a fixed estimate if it is.
If the first milestone doesn't match the agreed brief, we'll revise it at no extra cost.
NDA signed before we see anything. Delivered under your brand.