How we engage
Most teams are short on one of three things: senior capacity, a shipped outcome, or in-house capability. Each delivery model is built for one of those, and the engagement is shaped around the problem rather than a prepackaged consulting process.
Embedded engineering
Senior engineers inside your team
We join your team as senior AI and platform engineers — same repos, same standups, same review queue — so delivery accelerates while your standards get set alongside the work.
Best for
You know what to build but lack senior depth to move at pace
Standards need to be raised while the roadmap keeps shipping
Hiring is slow and the backlog will not wait
Engagement shape
Engagement
Rolling, monthly
Typical length
3–12 months
Who prioritises
Your roadmap
What is included
Senior AI, platform, and cloud engineers in your delivery system
Architecture decisions made next to the implementation
Pairing and reviews that transfer patterns as we go
Standards, dashboards, and runbooks left in your repos
Best signal of success
Your team ships the next one without us
Project-based
A scoped outcome, shipped
A defined outcome with a defined shape: discovery, build, validation in real workflows, then handover. You get a production system and the documentation to operate it — not a slide deck.
Best for
The outcome is clear and it needs to be live by a date
A first production AI system or platform rebuild is the goal
You want a fixed scope and a clean handover boundary
Engagement shape
Engagement
Fixed scope
Typical length
4–12 weeks
Who prioritises
Agreed scope
What is included
Discovery that tests the risky assumptions before the build
Working increments demoed against real scenarios
Security, evaluation, and cost controls built in from the start
Docs, runbooks, and a handover session at the boundary
Best signal of success
Acceptance criteria met in production
Workshop-based
Hands-on teaching on your stack
Practical enablement run on your real pipelines, clusters, and incident scenarios. Your engineers do the work; we set the curriculum, review it, and stay until they can repeat it unaided.
Best for
Capability is the constraint, not capacity
A platform exists but the team cannot operate it confidently
Onboarding is too slow for how fast you need engineers
Engagement shape
Engagement
Cohort blocks
Typical length
1–6 weeks
Who prioritises
Our curriculum
What is included
Sessions built around your own pipelines and clusters
Practice labs and incident drills in a safe lane
Review habits and ownership practices, not just tooling demos
Reference material your engineers write and keep
Best signal of success
Engineers finish real tasks unaided
Most engagements move between models
A project that lands well often becomes embedded support for the next phase, and embedded work usually ends in a workshop so the team can carry it. You are not locked into the model you start with.
Start scoped, continue embedded
Common
Embedded work closing with a cohort
Common
Switch model at any renewal
30 days
Side by side
A side-by-side read on how each model is structured, who drives it, where the work happens, and what your team is left holding when the engagement ends.
Compare on
Embedded engineering
Capacity and standards
Project-based
A shipped outcome
Workshop-based
In-house capability
Engagement shape
Embedded engineering
Ongoing senior capacity inside your team, renewed monthly.
Project-based
Fixed scope and outcome, phased from discovery to handover.
Workshop-based
Scheduled cohort sessions plus lab time, run in blocks.
Typical duration
Embedded engineering
3–12 months, rolling.
Project-based
4–12 weeks per outcome.
Workshop-based
1–6 weeks per cohort.
Who leads the work
Embedded engineering
You do. We take priorities from your roadmap like any other engineer.
Project-based
We lead delivery against the agreed scope; you own acceptance.
Workshop-based
We lead the curriculum; your engineers do the hands-on work.
Where the work happens
Embedded engineering
Your repos, pipelines, clusters, standups, and review queue.
Project-based
A carved-out workstream with its own environment and demo cadence.
Workshop-based
Your real pipelines and clusters, in a practice lane that cannot break production.
What your team keeps
Embedded engineering
Raised standards, reviewed patterns, and engineers who learned by pairing.
Project-based
A running system with its docs, runbooks, and a handover session.
Workshop-based
Engineers who can do the work unaided, plus the labs and notes they wrote.
Best fit when
Embedded engineering
You know what to build but lack the senior depth to move at pace.
Project-based
The outcome is clear and it needs to be live by a date.
Workshop-based
Capability is the constraint, not capacity.
How it is priced
Embedded engineering
Monthly rate per engineer, with 30 days notice either way.
Project-based
Fixed price per phase, agreed before the build starts.
Workshop-based
Per cohort, sized to the group rather than per seat.
How success is measured
Embedded engineering
Delivery throughput, and how much of it your team ships alone.
Project-based
Acceptance criteria met in production, not in a demo.
Workshop-based
Engineers completing real tasks unaided after the cohort.
Models can be combined or switched
At renewal
Every model ends with a handover
Always
Model-agnostic architecture throughout
No lock-in
We’re here to help—whether you have a question, want to explore a partnership, or are curious about how we solve complex technical challenges.
Our headquarters are located at 447 Broadway, 2nd Floor, Suite #2754, New York, NY 10013, United States—stop by or send us mail any time.
Drop us a line through the contact form or email [email protected] directly, and a team member will respond promptly.