Comparisons
Should you hire us, or someone else?
Straight comparisons with the seven options buyers usually weigh, including the cases where we're the wrong choice.
The three ways a first AI or app project usually goes wrong
- Billed by the hour, finished never. No fixed scope, so the invoice grows and the launch date slides.
- Built beside your business, not inside it. A notebook or a separate service nobody on your side can run.
- Fast to set up, fast to break. No-code flows that fall over when they need your real data.
vs Generic AI agencies
They sell a platform. We ship one system you own.
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vs Hiring in-house
Hire when AI is proven core. Prove it first for $5–10k.
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vs Off-the-shelf AI tools
Great for generic jobs, stuck on your specific workflow.
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vs Overseas dev shops
Same rate argument. The difference is a fixed price and a guarantee.
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vs Upwork freelancers
Fine for small, clear tasks. Risky for anything you'll run your business on.
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vs ChatGPT API wrappers
A demo in a weekend, but it can't see your data or take actions.
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vs Big consulting firms
Their discovery phase costs more than our whole build.
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vs No-code AI platforms
Use them to prototype, and build properly when it matters.
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| Renga | AI agency | In-house hire | Freelancer | No-code tool | |
|---|---|---|---|---|---|
| Price model | Fixed, $4,997–$9,997 per build | Often $20k+ projects or retainers | Salary + hiring cost | Hourly | Monthly subscription |
| Time to first live system | Typically 2–6 weeks | Months | Months to hire, then build | Varies | Days, for simple flows |
| Who owns the code | You | Varies | You | Varies | The platform |
| Guarantee | Late = 25% back; not as agreed = full refund | Rare | n/a | Rare | n/a |
| Best for | One high-value workflow, done properly | Large multi-system programmes | AI as your core product | Small, well-defined tasks | Simple, low-stakes automations |
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