Pick your path.
Know what you need? Let’s build it. Still deciding? We’ll help you find the right opportunities. Every engagement pairs senior AI engineers with AI agents.
Strategy & Roadmaps
Identify valuable AI and data opportunities, make technology decisions, or build a practical roadmap. Our AI and data expertise helps you prioritize what matters and turn it into an actionable plan.
- Prioritized AI and data opportunities tied to business value
- Technology choices and build-versus-buy guidance
- A practical roadmap your team can act on
Fixed-scope projects
A defined result, a defined scope and a statement of work tied to it. We build the agent or the data platform and connect it to your systems.
- Outcome-based statement of work
- Clear acceptance criteria
- Handover or managed operation, your choice
Embedded FDEs
On-site or nearshore, senior AI and data experts working arm in arm with your team. Scale up, scale down. By the hour or by the month.
- On-site or nearshore expertise
- Your backlog, your workflows, your repos
- Flexible capacity, hourly or monthly
Managed AI Services
We operate and improve your agents and data after launch, with monthly reporting on usage, quality and cost.
- Monitoring, evaluation and tuning
- Monthly reporting
- Optional, never a condition of a build
Four steps, no theater.
Assess
Check data readiness and access, choose the right model, map system connections, and agree on success criteria.
Prototype
A working version on your data, early, so decisions rest on evidence.
Build
Production release with security, governance, evaluation and integration.
Run
You run it, or we do. Either way, someone owns quality after launch.
One engineer, many agents.
Our engineers use AI agents for coding, testing and documentation. You get more output per senior engineer.
US and Latin America engineers.
Senior engineers working in US time zones, so reviews and decisions happen the same day.
Governance built in.
Access control, evaluation, logging and human review are part of the build, on compliant Google Cloud or your own infrastructure. Responsible AI practice is a delivery requirement, not an appendix.
Your AI has work to do.
Tell us where it is stuck. A senior engineer will read it and reply.