PIXLISE, Mars Perseverance Rover
Cloud backend for NASA’s PIXL instrument on the Perseverance rover. AWS infrastructure defined in code, deployed by CI/CD, monitored continuously. Cost-engineered under $1,000/mo.
Capability · Cloud & Infrastructure
NASA-grade engineering applied to the cloud platforms your business runs on, migration, platform setup, cost engineering, observability. Designed to actually finish, because most migrations don't fail for technical reasons.
What we build for you
01
Built to handle 100K+ users from day one. No costly rewrite when traction hits. Already on an older stack? That is where legacy modernisation comes in.
AWS / GCP / Azure that passes enterprise audits.
02
Push to production with one command. No manual configs, no DevOps PhD required.
Terraform / Pulumi / CDK, your choice.
03
SOC 2-ready infrastructure so you pass audits when Series A or procurement asks.
HTTPS, encryption at rest, RBAC, audit logs.
04
Know about problems before your customers do. Comprehensive logging and alerting on every service.
Datadog / CloudWatch / Grafana with on-call rotation.
05
Auto-scaling that saves $15K, 30K/mo against over-provisioned baselines. Pixlise went from $3,500/mo to $900/mo.
Pay for what you use; scale when you need it.
06
Ship updates daily with automated testing. Iterate at speed without breaking production.
GitHub Actions / CircleCI with automated rollbacks.
The real cost of "building it later"
The companies that tell themselves they’ll “handle infrastructure when we scale” usually end up paying many times over. Here’s how the bill arrives.
01 / Budget and timeline pressure
You’re spending $50K, 100K/mo on senior engineers who spend 60% of their time on DevOps instead of your product. That’s 6, 9 months of budget wasted before delivering customer value.
02 / The MVP that never launches
Your technical founder builds a monolith on their laptop. Works great, until the investor demo, when the database crashes. Or your first 100 users arrive and nothing scales. Complete rewrite needed.
03 / Competitive advantage lost
While you’re still debugging Kubernetes configs, your competitor launched. They have 10,000 users and a funding round closing. You’re explaining why you need three more months.
04 / Series A questions you can't answer
“How do you plan to scale to 100K users?” “What’s your security posture?” “Can you pass a SOC 2 audit?” When the honest answer is “we’ll figure it out,” investors walk.
Our framework
A proven five-phase methodology that moves your project from concept to a production cloud platform. No multi-year death marches; milestone reviews at every step.
Phase 01
We map the system you have, identify the highest-leverage moves, and propose target architecture with phased delivery milestones.
Phase 02
VPC, IAM, secrets, networking, CI/CD pipelines defined in code. Production discipline wired in from sprint one.
Phase 03
Strangler-fig replacement of monoliths, or greenfield platform setup. Zero-downtime cutover strategies, milestone reviews at every step.
Phase 04
Right-size, right-schedule, eliminate idle compute. Observability, runbooks, SLOs your team can defend.
Phase 05
Documentation, paired programming, cloud accounts under your control. When we leave, your team owns and operates everything.
Phase 01
We map the system you have, identify the highest-leverage moves, and propose target architecture with phased delivery milestones.
Phase 02
VPC, IAM, secrets, networking, CI/CD pipelines defined in code. Production discipline wired in from sprint one.
Phase 03
Strangler-fig replacement of monoliths, or greenfield platform setup. Zero-downtime cutover strategies, milestone reviews at every step.
Phase 04
Right-size, right-schedule, eliminate idle compute. Observability, runbooks, SLOs your team can defend.
Phase 05
Documentation, paired programming, cloud accounts under your control. When we leave, your team owns and operates everything.
Recent outcomes
Cloud backend for NASA’s PIXL instrument on the Perseverance rover. AWS infrastructure defined in code, deployed by CI/CD, monitored continuously. Cost-engineered under $1,000/mo.
Excel-based compliance operations modernised into a cloud-native services platform with case management. Faster processing, higher accuracy, scalable to new use cases.
Cloud platform processing years of data from hundreds of thousands of channels. Fragmented academic research transformed into reproducible, large-scale science.
Questions buyers ask first
Modernising cloud
Cloud migration, platform consolidation, modernisation. See what working with us looks like as an enterprise buyer.
Visit /for-enterpriseBuilding cloud-first
Cloud platform setup from scratch, baked into your MVP build. See what working with us looks like as a startup founder.
Visit /for-startupsA few lines about the platform, the bill, or the migration you keep putting off. He’ll write back honestly about what to fix first.
Talk to our team