Honest positioning
Compare
When to choose Nagomi Studio, and how we sit next to the firms buyers usually weigh.
When to choose Nagomi Studio
Choose Nagomi when you want embedded engineers on your systems, weekly working software, and a twelve-week handoff that leaves capability with your team, especially mid-market or nonprofit / housing operators.
At a glance
| Dimension | Nagomi Studio | Big-3 consulting (e.g. McKinsey / Accenture AI) | Platform FDE (e.g. OpenAI / Anthropic / Palantir deployment) | Mid-market embed boutiques |
|---|---|---|---|---|
| Primary offer | Embed + ship + teach | Strategy + large delivery | Deepen platform adoption | Embed / build |
| Who codes | Nagomi engineers with your team | Mixed; often large teams | Platform + customer | Boutique engineers |
| Engagement shape | 12 weeks, weekly ship | Multi-month / multi-year | Platform-tied | Varies |
| IP / ownership | Client keeps code & playbooks | Varies by contract | Often platform-centric | Usually client |
| Model stance | Model-neutral | Often multi-vendor | Platform-first | Varies |
| Nonprofit / housing fit | Explicit lane | Possible, heavier process | Rarely primary | Sometimes |
| Best when | Need working AI in-house fast | Need enterprise change program | Standardizing on one platform | Similar embed need |
Alternatives we are often compared with
- Strategy-led firms when the board wants a roadmap before any build
- Platform forward-deployed teams when the decision is already “standardize on X”
- Other embed boutiques when you want a small team shipping on your stack
What we are not
- A slide-only advisory shop
- A staff-aug body shop with no transfer plan
- A reseller locked to one model vendor
Next step
If the table points to Nagomi, bring one weekly workflow.