Start a conversation
Pick a workflow. We'll prove the value in six weeks.
Tell us a little about where you are, and we'll set up a 30-minute call to find the use case worth doing first.
Questions we hear often
Will you go through our vendor due diligence?
Yes. We sign an NDA before any data is shared, put a data processing agreement in place, and answer your security questionnaire, whether that is SIG Lite, CAIQ or your own. Contracts are issued by WeXL Edu Limited and signed by its Executive Directors.
We're a startup. Do you build products from scratch?
Yes. A small senior pod takes your product from scope to launch, with a working build every week, and hands over the code, documentation and runbooks. Vyshlo reached its MVP in two months and CliniqAI was built in about eight weeks.
How quickly will we see value?
Our standard path is six weeks: one week to assess and agree the metric, four weeks of building with a working demo every week, and one week to harden and hand over.
We're a university or college. How do your products work with us?
FluentEdge, BET and WeXL School AI are sold directly to institutions. We set them up with your departments or placement cell, train your faculty, and report progress for each cohort. Over a million learners across 200+ institutions use them today.
Can you work with our existing systems and tools?
Yes. We build on your systems, data and cloud, and the Forge Workbench runs on AWS Kiro, Claude Code or OpenCode with frontier or open-weight models.
Who owns the code and IP?
Ownership is agreed in the contract up front. Our default is that what we build for you is handed over with source, documentation and runbooks. Services firms can have us deliver under their own brand.
How do you price engagements?
After the assessment we can price the work as a fixed scope or tie part of the fee to the agreed outcome, so you have certainty on cost and on value.
How do you handle security and data?
We work inside your environment and access controls, with audit trails and human approval gates on agents by default. Your data is never used to train a model. Our Security & Trust page sets out every control, and your risk team can request our security pack there.
What kind of work do you take on?
Taking a use case from idea to production, modernising legacy applications, embedding AI-native pods in your teams, and supplying AI engineers to IT services firms. Every engagement starts with a short assessment that sets the baseline we measure against.