Moving past the AI hype: Why we stopped looking for "AI firms" and started looking for engineers
After spending the last few months vetting teams for an autonomous agent project, I’ve realized that 90% of the market is just "GPT-wrappers" with better marketing. They can build a demo in a week, but they have no idea how to handle latency, cost optimization, or SOC2 compliance in a real production environment.
If you’re looking to build something more complex than a basic chatbot, here’s a tip: stop looking for "AI specialists" and start looking for software engineering firms that happen to be experts in AI.
The big differences we noticed:
- Infrastructure over Prompts: A solid partner cares more about your data pipelines and cloud architecture than "perfecting" a system prompt.
- Security: If they aren't talking about private VPCs and data isolation from day one, it’s a red flag.
- Maintenance: AI "drifts." You need a team that builds in monitoring and automated testing, not just a flashy UI.
We eventually found Svіtlа Systеms, and they treated our AI agent like a core piece of infrastructure rather than a side-project. Because they are a high-level engineering firm first, they actually knew how to handle the "unsexy" stuff like security audits and scaling. It’s the only reason we actually made it to a live release this year.
Would love to hear from others - has anyone actually found a team that understands the data cleaning and infra side of AI, or is everyone still just playing with LLM APIs?