· 5 min read
On-premise or cloud AI? A practical decision guide
Where your AI runs decides who sees your data, what it costs and how fast you can ship. Five questions settle most cases.
Read articleAI integration · Custom software · Infrastructure
AI that works where your business does.
Maple Crew integrates AI on your own servers or in the cloud, builds the software around it and keeps it running. Practical systems, explained in plain language, with your people in control.
- On premise or cloud
- Explainable by design
- People make the decisions
Trusted partners
We are Maple Crew
A small crew that ships AI you can explain.
We are engineers and operators who build AI systems for organisations that cannot afford guesswork: banks, hospitals, staffing groups. Our work starts from the process, not the model, and ends with software your team trusts enough to use every day.
About usPeople decide
Our systems recommend and explain. A named person makes the decision and it is recorded as theirs.
Code computes
Figures come from deterministic, tested code. Language models phrase and summarise; they never invent a number.
Explainable by design
Every result can be traced back to the source data and the rule that produced it.
Your data stays yours
On premise when it must be, cloud when it can be, and never used to train someone else's model.
Our services
From the first idea to the server it runs on.
On-premise AI integration
Language models that run on your own servers, so sensitive data never leaves the building.
Learn moreCloud AI integration
Hosted models wired into your products and workflows, with costs and data flows under control.
Learn moreCustom software solutions
Web applications, APIs and internal tools designed around the way your team actually works.
Learn moreServer maintenance
Patching, monitoring, backups and incident response for the machines your business depends on.
Learn moreDocument intelligence
AI that classifies and reads your documents, then checks the figures before anyone relies on them.
Learn moreAI strategy and advisory
A clear view of where AI will pay off in your organisation, and where it will not.
Learn more
Our product
Credit analysis, assisted by AI. Decided by people.
Maple Insight reads a customer's documents, checks them against each other and gives the analyst a score out of 100, the reasons behind it and a draft credit note. Every figure is computed by tested code, and the decision always belongs to a person.
- specialist AI agents per assessment
- 6specialist AI agents per assessment
- point scorecard, fully explained
- 100point scorecard, fully explained
- modules: individuals and SMEs
- 2modules: individuals and SMEs
How we work
Four steps, no surprises.
- 01
Discover
We sit with the people who do the work, map the process and agree on what success looks like, in numbers.
- 02
Design
Architecture, data flows and guardrails are settled on paper, then proven with a prototype on your real data.
- 03
Build
Short iterations, working software every two weeks, automated tests and a demo you can click through.
- 04
Run
We deploy, monitor and maintain the system, and hand over documentation your own team can rely on.
Leadership
The people behind the crew.
Maher Chaouachi
CEO
Chief Executive Officer
Amir Mojtahedi
CTO
Chief Technology Officer
Peter Ma
COO
Chief Operating Officer
Aziz Chaouachi
CFO
Chief Financial Officer
Insights
Notes from the field.
· 5 min read
Why your AI should not be the calculator
Language models write well and count badly. In credit analysis, the fix is architectural: code computes, the model explains.
Read article· 4 min read
Human in the loop is a design decision, not a disclaimer
Adding 'reviewed by a human' to a footer changes nothing. Here is what it takes to keep a person genuinely in charge of an AI-assisted decision.
Read articleLet's build something your team will use every day.
Tell us about the process you want to improve. We will reply with a first view of what is possible and what it would take.