Embedded AI Teams: Two models
You manage the work
Team Augmentation
Right talent, embedded into your team.
Best for
We manage the work
Team as a Service
A team that owns the outcome.
Delivery stack with our IP:
Best for
Hired in 20 days
We source and validate around 800 engineers every month,
so the right profile is usually already vetted when you call.
Plus, AI-powered recruiting and continuously nurtured talent
pipelines get you a first candidate in 8 days.
800 / 8 days
AI-native by default
Our engineers build with Cursor, Claude Code, and agentic
workflows every day. Every Arionic brings strategic thinking,
problem-solving, and continuous learning to how they use AI, built through Socrates, our AI-native transformation program.
AI
Onboarded in 4 days for TaaS
4 days to onboard for TaaS. Sokuvo, our AI-powered context
orchestration system, maps your codebase, decisions, and
conventions so new engineers ship sooner. When someone
rotates out, the knowledge stays.
4 days
Senior only
No juniors learning on your codebase. Every engineer we
place has shipped production systems and works with
autonomy from week one.
01
Talent where and when you need it
Real-time collaboration with US teams at nearshore rates. No overnight handoffs, no 12-hour feedback loops.
US / LATAM
Talent that stays
10% annual attrition, against an industry benchmark of 18%.
Monthly pulse surveys and 1:1s catch signals early.
10% vs 18%
Vetted against the Ideal
Arionic Profile
Strong technical skills, AI adaptability, and the ownership,
communication, and collaboration that high-performing teams run on. Every candidate goes through four stages: recruiter screen, technical challenge, technical interview, and a final fit interview, validated by you or by us.
4 stages
How it works
05
Scale up or down
Add people, rotate profiles, or
switch models as priorities
change. If a role opens up, we
share a first candidate in 2 days
and fill it in about 15.
Industries
GovTech and regulated industries
Compliance-heavy environments
where security, auditability, and
documentation are part of the
work.
Healthcare
Clinical and support workflows in
HIPAA environments, where
patient data stays protected, and
AI has to earn the trust of the
people using it.
FAQs
How is this different from staff augmentation?
How senior is "senior"?
What tech stacks do you cover?
How much time-zone overlap do we get?
What happens if an engineer leaves or isn't the right fit?
Can we start small?
Can we switch between models?
Embedded AI Teams
Add individual engineers your leads manage, or a full team we manage for you.
Same time zone, nearshore cost, productive in days instead of weeks.
01 · Senior only
02 · Hired in 20 days
03 · Onboarded in 4 days (for TaaS)
04 · US time-zone overlap
05 · 8 days to first candidate
Get Started
Ready to make AI useful?
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