Own Aura.

What you'd own.

Every artifact below transfers to your accounts on day one. The whole engine.

• ●Brand identity and positioning for SRE market
• ●Product roadmap and AI investigation engine specifications
• ●Customer outreach playbook with email and LinkedIn templates
• ●Financial model, pricing framework, and unit economics
• ●Founder insights on competitive positioning and GTM
• ●MVP codebase for incident investigation and remediation
• ●Customer success playbook for 60 to 90 day POC

What Roll Digital builds for you.

Custom scope to take Aura from MVP shell to operating business.

• ▸Production API backend supporting LLM-powered incident investigation and analysis
• ▸Multi-tenant architecture with complete customer data isolation and security
• ▸Native integrations with Datadog, Prometheus, New Relic, Grafana logging
• ▸AWS, GCP, and Azure cloud deployment with auto-scaling infrastructure
• ▸Security audit documentation and SOC 2 compliance framework setup
• ▸Stripe billing system with three pricing tiers and invoicing
• ▸Customer dashboard for incident tracking, history, and remediation status
• ▸Alert routing through webhooks, email, and Slack integrations

Why this could work.

The TAM is concrete: 10,000 companies with SRE teams already allocate $22k annually to incident tools. Outbound GTM directly reaches buyers, and 60-90 day POCs align with enterprise procurement. SREs waste 30-40% of on-call hours investigating root cause rather than implementing fixes. Capturing 1-2% market share at target pricing yields sustainable unit economics if integration complexity stays contained and LLM confidence remains high.

What you'd risk.

LLM hallucination during live P1 incidents poses existential risk. If Aura confidently recommends wrong remediation, an SRE follows it, and incident worsens, one high-profile failure destroys trust industry-wide. Integration complexity is enormous: each of AWS, GCP, Azure, Kubernetes, ECS, bare metal, Datadog, Prometheus, Grafana, New Relic adds combinatorial surface area. Incumbent vendors already own the data, contracts, and buyer trust, and they are shipping competitive AI features in 2025-2026.

Who this fits.

Ideal operator is an ex-VP Engineering or Head of SRE with existing relationships in the enterprise market and credibility with SRE teams. Requires fluency in cloud infrastructure, incident response workflows, and high-touch enterprise sales cycles. A solo SaaS founder or early agency operator lacking SRE domain knowledge and an existing customer pipeline will struggle to close the first 5-10 customers within Year 1.

Timeline.

From contract signing to operating business.

1. Day 1
   Receive MVP code, playbooks, customer contacts, and market research
2. Week 1
   Production backend and database setup on AWS complete
3. Week 3
   Logging integrations with Datadog, Grafana, Prometheus fully operational
4. Week 6
   Billing system, dashboard, and security audit framework launch
5. Day 90
   First cohort of customers signed and entering POC period

Pricing.

Three ways in, depending on how much you want to build yourself.