Great Applied AI engineers are not available at a price most businesses can pay.
Mozr is how you have one anyway.
The shift that made Mozr possible.
A senior Applied AI engineer in 2026 costs a business $300,000 to $500,000 a year, fully loaded. An Applied AI team is $1M to $3M a year. That math does not work for most businesses, and founders know it.
Until recently the only alternatives were consulting firms that ship a thing and leave right when the system needs tuning, or doing AI in-house with existing engineers, which turns your best backend engineer into a part-time prompt engineer for six months. Both options are bad.
There's also the tool pile-up. Most teams are drowning in tools before they ever try to add AI. Nothing talks to anything. Nothing actually saves time. Someone who walks the whole operation, picks the three or four workflows bleeding hours every week, and builds the system that ties it all together is the answer.
The fractional model fixed this problem for CFOs and CTOs. A founder can hire a fractional CFO for $5,000 to $15,000 a month and get what used to be a $300,000 hire. Applied AI is the next function where this model makes sense. Mozr is built for exactly that shape.
AI builds the workflows. AI doesn't pick which workflows to build. Picking the right ones is human work. Judgment. Accountability. A real human to support you if something breaks before a launch.
Why the obvious options are all bad.
Pile on more tools.
Most teams are drowning in tools before they ever try to add AI. ChatGPT seats. Three different AI agents. A CRM that does some of what Zapier does. Nothing talks to anything. Nothing actually saves time. The next tool is not the answer.
Hire a full-time AI team.
A senior Applied AI engineer is $300,000 to $500,000 per year fully loaded. Add an ML engineer, a data engineer, and an MLOps engineer and you're at $1.5M to $3M in payroll before the AI ships anything. For most businesses, that is not a hiring decision. It risks the operating plan.
Hire a consulting firm.
Big 4 runs $500,000 to $5M. Boutiques are $100,000 to $500,000. Both share the same fatal flaw: they ship, hand you a deck or a system, and leave exactly when the work needs to continue. Production AI is an operating function. The day your model needs retraining, the firm you paid is already on the next client's problem.
Do it in-house.
Your best backend engineer becomes a part-time prompt engineer. Six months later they've learned a lot, shipped a prototype, and neglected the product roadmap. The opportunity cost is always worse than it looks on paper.
Mozr is the other option.
We are your embedded Applied AI team. We ship the AI systems, we tune them, we extend them as your business grows, and we stay embedded for as long as we're earning our monthly fee. You hire us the way you'd hire a fractional CFO. Part of your team, not a vendor coming in and out. Monthly fee. Month to month. You own every asset we build.
AI accelerates everything inside the working relationship. Research. Drafting. Workflow building. Documentation. But the working relationship itself is a human service. That's the part that holds.
Mozr at a glance.
- Legal entity
- MOZR, Inc.
- Founded
- 2024
- Headquarters
- United States
- Team shape
- A small senior team. Engagements led by senior practitioners only.
- Engagement model
- Embedded fractional team. Month to month. Code in your repo.
- Tiers
- Single Project · Three Projects · Enterprise. See how.
- Service area
- United States. Remote-first.
- Contact
- or email [email protected]
Is this the shape of your next move?
A reasonable monthly fee. Month to month. No long-term contract. Founder to founder. You walk us through the business. We come prepared with a rough architecture sketch and send a 1-page proposal within 48 hours. Schedule a call to learn more.