Aeroxis Enterprises
AI delivery capacity without hiring ahead of demand.
If your clients are asking for AI automation, Aeroxis helps you say yes safely. We work white-label, as a named subcontractor, or in joint delivery with agencies, consultancies, MSPs, implementation partners, and contractors.
The partner problem
You already have client trust. The client asks, “Can you help us with AI?” Now you have to decide whether to say no, hire before demand is proven, or risk delivering a fragile demo that cannot survive production.
Aeroxis solves the gap between client demand and senior AI engineering capacity.
- You own the relationship. We can stay white-label or join as a named technical specialist.
- You keep the account strategy. We help shape the technical scope and delivery plan.
- You avoid premature hiring. Use us when demand appears, then scale only after revenue is real.
- Your client gets production thinking. Integrations, auth, logging, evals, handoff, and guardrails are part of the work.
Common client requests we can help you deliver
- Internal knowledge assistants grounded in company documents and systems.
- Document intake and extraction workflows for PDFs, forms, emails, and spreadsheets.
- RFP, proposal, and sales research assistants.
- Support triage, case summarization, and routing workflows.
- Compliance evidence collection and executive reporting assistants.
- Digital twin and operational data systems.
- DevOps automation, GitLab CI pipelines, cloud deployment, and release workflows.
Engagement models
- White-label: your firm presents the work; Aeroxis delivers behind the scenes.
- Named subcontractor: your client sees Aeroxis as the senior AI engineering specialist.
- Joint delivery: you own consulting/account leadership; Aeroxis owns technical implementation.
- Specialist overflow: use Aeroxis for AI, DevOps, digital twin, or PQC work when your internal team needs depth.