Senior engineers · AI-native · On retainer
The AI team you were about to hire.
Companies keep posting for one junior "AI person" to build agents, wire up data and ship dashboards. We're a team of senior engineers and founders that does all of it, for less than the cost of that one hire.
The math
One person, or a whole team?
A junior hire is one skill set, one point of failure, and months of ramp-up. A retainer with us puts engineers who have built and run companies on your problems from the first week.
Hire a junior AI generalist
- Salary plus taxes, benefits and equipment
- Recruiting time and a learning curve
- One person covers agents, databases, APIs and security
- Leaves, gets sick, or moves on, and the knowledge goes with them
A senior team on retainer
- Specialists across engineering, data and AI
- Working in your stack within days
- Everything documented and owned by you
- No hiring, no payroll, scale up or down monthly
Junior-hire figure is a typical estimate for a $50k salary plus employer costs. It varies by state and benefits package.
What we build
Everything the job post asked for.
Agents that take repetitive work off your team, the data underneath them, the connections between your tools, and the screens your team and clients look at.
AI agents
Agents for support, catalog work, reporting and ops, built on Claude and, where it makes sense, models we host ourselves.
02Data and infrastructure
A database you can trust: designed schema, clean pipelines, sensible access controls and backups.
03Integrations
Your storefront, marketplaces, ads, ERP, helpdesk and spreadsheets, connected so data moves without anyone copying it.
04Internal tools
Ideas turned into working tools in days, not quarters, and built so they can be maintained.
05Dashboards
Live views for your team and your clients, built on your own data rather than a screenshot of it.
06Private, local AI
Open models such as Qwen and Gemma on your own server, for work that can't leave your walls.
How it works
From first call to running in production.
No six-week discovery phase. We find the work that costs you the most time, build it, and keep improving it.
Conversation
We learn how your team spends its week and where the repetitive work lives.
Priorities
We rank the opportunities by hours saved and risk, and agree a first build.
Build
Working software lands in your hands early and often, not at the end.
Run and grow
We monitor, maintain and extend it, month after month.
Engagements
Simple monthly retainers.
Pick the level that matches how much you want built. Change it any month. Prices are starting points; we scope exactly after talking to you.
Starter
One workstream, done well.
- One focus at a time: an agent, a dashboard or an integration
- Ongoing maintenance and fixes
- Monthly review of results
Growth
The junior hire, replaced by a team.
- Agents, data, integrations and dashboards in parallel
- A shared priority queue you control
- Direct line to the engineers
- Security and documentation included
Partner
Your embedded AI department.
- Multiple concurrent workstreams
- Self-hosted models on your infrastructure
- Client-facing dashboards and white-label work
- Strategy sessions with the founders
Need a defined one-off build instead, such as a custom internal platform or a data migration? We quote fixed-scope projects too, with an optional retainer afterwards.