Services
Your engineering department for complex AI-native systems
Engagements are designed around outcomes, with clear delivery phases and accountable ownership.
- Sprint 0
- Build phase
- Operate phase
AI product incubation
MVP to v1 with production-grade architecture.
Who it is for: Founders or product leaders launching a new AI-native capability under timeline pressure.
What we deliver: Opportunity framing, architecture, prototype, and a deployable v1 with analytics hooks.
Engagement model: Sprint 0, build phase, then optional operate phase.
Autonomous platforms & SRE
Observability, remediation, and resilient pipelines.
Who it is for: Engineering and platform teams that need reliable autonomous operations in production.
What we deliver: Signal pipelines, policy-driven remediation, reliability dashboards, and runbook automation.
Engagement model: Reliability sprint plus production hardening and governance rollout.
Agentic growth engines
Automation systems for high-intent B2B growth.
Who it is for: Growth and revenue teams looking to scale demand generation without bloating operations.
What we deliver: Agent workflows for campaign orchestration, lead intelligence, and iterative optimization.
Engagement model: Design sprint, workflow buildout, and performance tuning cycles.
Fractional engineering department
Embedded senior team across product, AI, and infra.
Who it is for: Teams needing senior execution without building a full internal org immediately.
What we deliver: Hands-on leadership, execution ownership, hiring support, and operating cadence.
Engagement model: Monthly partnership with clear ownership and delivery milestones.
Typical engagements
Strategy + architecture sprint
1-2 weeks
Scope the opportunity, stress-test assumptions, and define a production-ready plan.
Build v1
4-8 weeks
Design and deliver core workflows, integrations, and release readiness.
Embedded partnership
Monthly
Operate as your senior engineering department with ongoing ownership.