Consulting & implementation
Our senior engineers, architects, and operators partner deeply with your teams. We don’t hand you slides—we build alongside you.
Start an engagementCloud-native transformation
Blueprint, build, and operate resilient platforms across AWS, Azure, GCP, and sovereign clouds with zero trust at the core.
- Landing zones & guardrails
- FinOps + cost telemetry
- Progressive delivery pipelines
Multi-cloud governance
Policy-as-code, identity federation, and continuous compliance tuned to your regulatory posture.
- Security control automation
- Evidence lake and reporting
- Risk analytics
DevSecOps enablement
Paved roads for your engineers with secure SDLC, supply-chain hardening, and culture programs.
- Inner source libraries
- Platform playbooks
- Secure SDLC training
AI & ML engineering
Responsible AI architecture, agent guardrails, model operations, and experimentation pipelines.
- AI trust fabric
- Model monitoring
- Human-in-the-loop frameworks
Data modernization
Unified data platforms with governance, lineage, and privacy controls to unlock analytics and AI.
- Data mesh blueprints
- Privacy automation
- Self-service access
Embedded squads, measurable outcomes
We integrate with your product, platform, and security teams to accelerate delivery and transfer knowledge.
Co-delivery squads
SecureStack leads architecture and delivery while enabling your teams with documented playbooks.
Outcome-based sprints
We run 6–8 week sprints focused on specific milestones: readiness assessments, platform launches, AI pilots.
Enablement & training
Workshops, runbooks, and office hours ensure your teams stay confident long after we wrap.