Fuselio vs Traditional Agencies
We’re technically an agency too — so this is really about the traditional agency model: account layers, quarter-long timelines and quotes that take three calls to hear. Here’s the difference.
| Fuselio | Traditional agency | |
|---|---|---|
| Pricing | Published on our pricing page, from $2,999 | Typically $50k+ minimums, quoted after discovery calls |
| Time to launch | Weeks — AI agents work between the weekly demos | Months — waterfall phases and hand-offs |
| Who you talk to | The people building your product | Account managers relaying to developers |
| What you fund | A lean senior team + AI agents | Office, bench time and the sales team that closed you |
| Commitment | Sprint-sized; pause at any boundary | Long contracts, change-order fees |
| Best for | Startups and SMEs shipping fast | Enterprise programs with heavy compliance |
When a traditional agency is the right call
If you need a 20-person delivery team, formal procurement, security certifications and multi-year support SLAs — enterprise work, government contracts — a large agency is built for exactly that, and we’re not.
When Fuselio wins
Everything below enterprise scale: you get agency-grade output at startup speed and price, because AI agents erased the busywork those big teams bill for — and you talk directly to the engineers shipping your product.
Common questions
Why are traditional agency quotes so much higher?
You're funding their structure: account management, bench time between projects, offices and sales. An AI-native studio replaces most of that overhead with agents, so the price reflects the engineering, not the org chart.
Is AI-assisted development lower quality?
Every line that ships is reviewed by a senior engineer — the agents accelerate the repetitive 80% (boilerplate, tests, refactors) while humans own architecture and product decisions. You see working software weekly, so quality is visible, not promised.
What if my project grows beyond a small team?
Our long-term partnership plan adds dedicated capacity as you scale, and because you own a documented codebase you're never locked in — to us or anyone.