[faq]
Straight answers about how we work, what it costs, and where we draw lines.
We are an independent Data + AI lab. We help organisations find where AI can move a business number, prove it with real users and data, build the production foundation, and scale the outcome. We work in small senior teams across six capability areas.
We are measured on P&L impact, not on hours or deliverables. Teams are senior throughout, engagements are scoped to a target metric with a kill criterion, and we transfer everything we build so you do not depend on us.
Usually with a Find phase of up to four weeks that maps where the value sits, what it would cost to prove, and who owns the metric. From there we agree a Prove sprint.
It depends on how ready the data is, but six to twelve weeks is typical. It ends with a measured result against a control and a decision to build, iterate, or stop.
Reusable IP refined across engagements: the Customer 360 Accelerator (four to six weeks), the AI Agent Ops Framework, and B2B Intelligence synthetic segmentation. They shorten the path from idea to production.
We partner with OpenAI, Anthropic, Databricks, Snowflake, and Google Cloud. Advice stays independent: we recommend what fits the outcome.
Financial services, telecommunications, government, and utilities, and the approach applies elsewhere.
Governance is designed in from the start. We build portfolio-level frameworks so each new system inherits documentation, evaluation, and monitoring, and we work with your legal and compliance teams on classification.
LoxiLabs is based in Italy and works with clients across Europe and beyond, on site when the work needs it and remotely otherwise.
Find phases and accelerators are fixed scope. Prove, Build, and Scale phases are scoped to the outcome and agreed in writing before work starts.
Tell us about the decision or workflow you want to change. We'll come back with an honest view on whether it's worth proving, and what it would take.
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