We design, build, and operate the cloud infrastructure your software runs on. Fixed-scope engagements with a clean handoff at the end. No open-ended retainers.
Starting from scratch, or fixing a tangle. We design the cloud, set the guardrails, and build the first production-ready platform your team ships on.
Your engineers spend more time fighting the cloud than shipping features. An internal platform with templates, automation, and self-service environments. Launching a new service takes hours, not weeks.
An audit caught you, or the next one is on the calendar. Hardened build pipelines, signed software releases, and an evidence trail auditors can read without help.
Between 'one engineer fielding pages at 3am' and a full reliability team. We share the on-call rotation, set uptime targets that matter to your business, and write the response playbooks, until you're ready to hire it in.
You need to leave the current platform: your own servers, an old CMS, Heroku, a single region, or a specific vendor. Wave-by-wave migration with a tested rollback at every cutover, whether the move is one app or a hundred.
Your team is drowning in alerts. Smart filtering, automatic incident grouping, and AI-drafted post-mortems with full audit trails. Narrow, scoped automation for your specific outages, not a 'platform' you have to learn.
Cloud, container, IaC, CI/CD, observability, security, and data: the categories every platform engagement touches at least once.
Not internal server graphs. The metric is what your customer actually sees: checkout success, search response time, data freshness.
Right-sized infrastructure, automatic scaling against real demand, and cost ownership wired into the deployment process. A repeatable practice, not a one-off cleanup.
Spread across regions when regulators or business risk demand it; one cloud done well otherwise. We push back when the brief asks for the wrong tool.
Engagements end when the documentation, the playbooks, and your team can extend the work without us. We can stay on for ongoing operations only if you want us to.
Specific capabilities we run in production today, not generic "AI-powered" claims.
Illustrative composites drawn from prior practice. Names, quotes, and dollar figures are anonymised; the engineering work shown is typical of the firm but not specific to a named client.
Restructured the cloud setup so spend is owned per product line, paired with right-sized compute and automatic scaling against real demand. Zero customer-facing impact during the migration.
Live in two regions with automatic failover and a reliability-vs-feature-velocity policy in place. Twelve months of operation through a cloud-region outage with no customer-facing downtime.
Incident workflows wired around customer-facing reliability targets, automatic playbook triggering, and incident grouping that points at the source. Median time-to-resolution dropped from 32 minutes to 9 minutes across a 200-service fleet.
GPU-ready production platform on a managed cloud, automated deployment pipelines for model training, signed releases, and secrets handling done right. Team self-sufficient by week 6.
Unified production-monitoring system across 4 product lines and 60+ services, with reliability targets defined against what customers actually see. One platform replaces three previous vendors.
Every software release signed and inventoried, with verifiable build history. First SOC 2 Type 2 audit closed with zero findings.
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