AI software development
How we design and build the systems we later host, patch, and operate.
Shipping software is only the beginning. Real value shows up when a system keeps running cleanly under load, stays patched against new vulnerabilities, recovers quickly from incidents, and evolves safely as business needs change.
Super AI Labs offers hosting and maintenance as a continuation of our delivery work. We keep the web platforms, AI systems, document workflows, and internal tools we build for clients stable, secure, and well-supported, with observable operations and clear escalation paths for complex cases.
Managed cloud hosting on a suitable platform (for example, Swiss-hosted options, AWS, Google Cloud, or Azure), with environment separation between development, staging, and production.
Monitoring, alerting, and support during business hours, with agreed response and resolution targets aligned to each system’s business criticality.
Regular security patching for operating systems, runtimes, libraries, and dependencies, plus proactive monitoring for newly disclosed vulnerabilities.
Automated backups, tested restore procedures, and documented disaster-recovery plans with defined Recovery Point Objectives (RPO) and Recovery Time Objectives (RTO).
Observability stack with centralized logs, metrics, traces, and dashboards so performance and errors can be investigated without guesswork.
Incident response with clear escalation paths, structured postmortems for significant events, and follow-up actions tracked to closure.
Ongoing minor enhancements, bug fixes, and small feature work under a predictable monthly envelope, with larger changes scoped as discrete projects.
Quarterly operations reviews covering reliability, security posture, cost, capacity, and a prioritized roadmap of improvements.
Organizations that do not have an in-house platform team and want a single, accountable partner for hosting, operations, and ongoing maintenance.
Teams that want the same engineers who built the system to also run it, so context, architecture, and operations stay connected.
Swiss clients with data residency, security, or compliance constraints that require careful choices around hosting providers, logging, and backup locations.
Product owners who want predictable costs, transparent service levels, and a defined path to resolve outages, regressions, and security issues.
The exact stack depends on the problem, but these are the design principles we usually optimize for.
Separate development, staging, and production environments with controlled release pipelines, automated tests, and reviewable deployments.
Regular dependency and infrastructure updates, secret management, least-privilege access, and audit trails so security does not drift between releases.
Encrypted backups with regular restore tests, defined RPO and RTO targets, and recovery procedures documented as runbooks rather than tribal knowledge.
Unified logs, metrics, traces, and alert rules so outages and performance regressions are visible early and can be investigated with real data.
Availability, response, and resolution targets documented per system, sized to actual business criticality rather than a one-size-fits-all SLA.
A tiered escalation model that routes routine issues through normal support and surfaces complex or high-impact cases directly to senior engineers and architects.
The engineers maintaining the system are the ones who designed and built it, so context, decisions, and tradeoffs are not lost between delivery and operations.
We select hosting regions, providers, and logging setups with Swiss data protection, nFADP, and sector-specific requirements in mind rather than defaulting to whatever is easiest.
We define what is covered by maintenance, what counts as a new project, and how escalations work, so there are no surprises when something unusual happens.
We treat runbooks, observability, and handover readiness as core deliverables from day one, not as post-launch extras added under pressure.
These are the kinds of questions that usually matter before a team commits to scope, architecture, and rollout.
If this is close to what your team needs, these pages are the best next places to look.
How we design and build the systems we later host, patch, and operate.
Why operations, runbooks, and handover readiness are part of how we structure projects from the start.
Start with a scoped conversation about the system, its criticality, and the service levels you actually need.