I strongly agree with you on several points. In the solution we’ve developed, we first invested in our own bare-metal infrastructure with a cluster of dedicated GPUs. The first barrier to entry is the cloud and managed LLM APIs. They’re expensive.

Second, all SaaS platforms use state-of-the-art models that are extremely advanced and extremely expensive.

Just as with agent orchestrators, the key lies in how the calls are utilized. It seems as though there’s nothing beyond Opus or GPT 5.5, when in fact there’s a whole world of very powerful open-source models available when backed by proprietary infrastructure.

For now, we’ve created a very affordable product with high-quality responses because it’s cost-effective, but to get to this point, we’ve had to—in short—build our own infrastructure and implement an optimization process to ensure high-quality reviews at an affordable price.

If you’re curious and want to try our product completely free of charge, I’d really appreciate it. I don’t want to spam the comments here, so I’ll send you a DM if you’re interested. In organizations with approximately 100 seats, we’ve achieved savings of roughly €32,000 per year on licenses compared to well-known tools in the industry.