Own the intelligence
Custom AI tools
Purpose-built AI assistants for the jobs your team actually does: planning, analysis, creative, support.
What we do
We build AI tools on top of your data and your workflows rather than bolting a generic chatbot onto the side. Examples: a marketing-analytics assistant over your warehouse, a product-copy and feed generator with brand guardrails, a support copilot trained on your policies and order history, a forecasting tool for inventory and media planning.
What you get
- Use-case selection and feasibility scoring
- Prototype in two to three weeks, production build after sign-off
- Evaluation harness so quality is measured, not guessed
- Hosting in your cloud with role-based access
Research and answers on this topic
How to choose an AI consulting firm for an ecommerce brand
How to choose an AI consulting firm for an ecommerce brand: the types of firm, what to check, questions to ask, warning signs and a first paid phase.
Boutique AI consultancy or a large consultancy: what a mid-market ecommerce brand actually gets
Boutique AI consultancy or a large consultancy for a mid-market ecommerce brand: published rate cards, what each delivers and when each one fits.
What is an AI implementation consultant, and how is it different from an AI strategy consultant?
An AI implementation consultant builds and deploys AI systems; a strategy consultant plans them. How the roles, timelines and published prices differ.
How much does AI agent development cost in 2026?
AI agent development cost from published prices: $8,000 to $180,000+ to build, $500 to $13,000 a month to run, with three ecommerce agents costed.
Related work
- Read the story
AI customer support for a US technology company
- −36%
- tickets
- +50%
- CSAT in 3 months
- −44%
- response time
Common questions
- Which models do you build on?
- Whichever fits the job and your data policy: OpenAI and Anthropic models through their APIs, or open-weight models such as Llama and Mistral hosted privately on AWS when data cannot leave your account.
- How do you stop an AI tool from making things up?
- Every tool is grounded in your data with retrieval, constrained with schemas and guardrails, and scored against a test set before and after launch. We publish the accuracy numbers to you.
- Can the tool connect to our existing systems?
- Yes. Tools integrate with your warehouse, CRM, helpdesk, Shopify and ad platforms through their APIs, with permissions scoped to the minimum each tool needs.
- What happens after launch?
- An optional care plan covers monitoring, model updates, prompt and retrieval tuning and small feature changes, month to month. Larger changes are scoped as mini-projects.
Talk to us about your stack
A 30-minute discovery call with our founder. We will tell you honestly whether an engagement makes sense and where the first return would come from.