AI deployment team
An AI deployment team, ready in days
A lead AI engineer plus the AI engineers, data engineers and architect your project needs. They work inside your stack until it’s live. You lead it, or we do.
- Your team can include
- Lead AI engineer
- AI engineers
- Data engineers
- AI architect
- AI product manager
Team managerDataInsta · your contactOnline
AI engineerAgents and RAGOnline
ML engineerModels and evaluationOnline
Data engineerPipelinesOnline
Team size
0
scale any time
Sprint
0
two weeks each
Velocity
0
since sprint 1
Team assembled in5 days
Match success rate94%
10,000+AI engineers and data scientists
5 daysTeam assembly time
94%Match success rate
Two ways to work
Lead the team, or let us lead it for you
Choose between managing your engineers directly or having DataInsta assign a dedicated team manager.
How it works
From objective to kickoff, without the delays
1
Share your objectives
Tell us what you need to build and by when.
2
Team assembly
We match the right engineers from our network, fast.
3
Immediate start
Your project starts right away, with zero delays.
To do3
Feature store
Drift alerts
Guardrails
In progress3
Triage agent
Model v3
Data checks
Done4
Kickoff
Ingestion
Baseline
Eval suite
PayrollHandled by DataInstaDone
Contracts and NDAsAll 4 engineersSigned
End to end
One senior team, from scoping to production
Elite AI engineers, vetted by data scientists and ready to deliver. We help you scale teams fast, manage talent and payroll, and support you from planning to delivery.
- AI agents, LLM training and custom models
- Workflow automation and MLOps pipelines
- Data infrastructure and analytics
- Talent management and payroll handled
Speed
Your team in days. Live in weeks.
We connect you with top AI engineers in days, not weeks, so you can start building immediately.
- Teams assembled in about 5 days
- 94% match success rate
- Scale up or down as the project changes
Fraud detection squadDay 5 of 5
Team managerYour single contactConfirmed
ML engineer8 yrs · fraud modelsConfirmed
Data engineer7 yrs · Spark and AirflowConfirmed
MLOps engineer6 yrs · AWS and KubernetesConfirmed
Time to team
0
not weeks
Match success
0
first shortlist
Profiles screened
0
for this team
Experience
Our engineers have worked with leading companies
Ready for your AI deployment team?
Tell us your goals and meet your team within days.