Hosting that fits your policy
Cloud hosting, including in-country options or your own infrastructure when your data policy requires them.
Run & Improve
Keep it running. Keep it getting better.
AI systems are never finished. We host, monitor, secure and update what we build, keep evaluating AI quality and cost, and plan improvements with you.
Sound familiar?
The project launched, then the team that built it moved on.
01
Model updates and price changes quietly shift quality and cost, and no one notices.
02
Your data policy requires in-country hosting, and not every vendor can offer it.
03
What we build
Capabilities
Monitoring and backups
We watch health, errors and usage, and keep tested backups so you can recover when something goes wrong.
Security updates
Dependencies, frameworks and servers are patched on a planned schedule, with urgent fixes applied as needed.
Ongoing AI evaluation
We re-run your evaluation set whenever models, instructions or data change, and track quality and cost over time.
Planned improvements
A shared backlog and regular reviews turn your team’s feedback into the next round of improvements.
Illustrative scenario
Keeping a live agent team sharp
A fictional insurer in Qatar runs an agent team that drafts bilingual replies to customer claims, under a data policy that requires in-country hosting.
- 01
The system runs on in-country infrastructure, with monitoring and tested backups in place.
- 02
The AI provider releases a new model version, and the evaluation set is re-run before any switch.
- 03
The results show stronger Arabic replies at a higher cost, and both findings go to the insurer’s team.
- 04
The team decides to use the new model only for complex claims.
- 05
A monthly review turns reviewer feedback into the next set of improvements.
You receive
- Hosting set up to match your data policy
- Monitoring, alerts and tested backups
- Regular reports on AI quality, cost and usage
- Support with response times agreed in your support agreement
- A prioritised improvement backlog, reviewed with you
What we measure together
- AI quality on your evaluation set over time
- Cost per task, month by month
- Incidents and time to resolve them
- Improvements delivered from the backlog
Measures and baselines are agreed with you before work starts. We do not promise numbers in advance.
How an engagement runs
- 01
Agree the support model
Scope, contacts, escalation and response times, agreed in your support agreement.
- 02
Set up hosting and monitoring
Environments, backups, alerts and access are configured and documented.
- 03
Run and evaluate
We operate the system, apply updates and track AI quality and cost against the agreed measures.
- 04
Review and improve
Regular reviews with your team decide the next improvements.
Questions
Straight answers.
Do you offer in-country hosting?
Yes, when your data policy requires it, for example in a Qatar cloud region or on your own infrastructure. The right option depends on your policy and the services you need, as some AI models are not available in every region.
What response times do you offer?
Response times are agreed in your support agreement, based on how critical each system is to you. We don’t publish a one-size-fits-all promise.
Can you support systems you didn’t build?
Often, yes. We start with a technical review to understand the system, its risks and what it needs before we take it on.
Can we bring operations in-house later?
Yes. You own the code and data, and everything is documented, so your team or another provider can take over whenever you choose.
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ExploreLet’s talk
Start with one workflow.
Tell us about a process that slows your team down. In a 45-minute discovery session we show what an agent team could do with it, and what it would take.