Simor
About

Less waste in. Better answers out.

Simor engineers seven control layers around your models for multi-user production systems. Each layer cuts cost and raises answer quality. The offer is a free AI cost review.

What we believe.

Most AI failures in production are not about the model alone. They come from weak controls around the model. Treat prompts as versioned assets, route traffic through one model layer, put every tool behind a policy, and measure quality before and after release, and most of the fragility disappears.

How we engage.

Our engagements are short, focused, and engineering-led. We review architecture, fix what is breaking, and leave behind an operating model your team can keep using. We do not do open-ended strategy or build demos that will not survive contact with real users.

Principles.

The rules we bring to every system, whichever layer we start from.

01 Boundaries over bolt-ons Control layers (model, tool, policy) are more durable than clever prompts.
02 Evals before opinions Quality decisions should be measured, not debated in a review meeting.
03 Traces or it did not happen Every request should be reconstructable end to end, by default.
04 Budgets are a feature Spend limits are part of the system, not a billing afterthought.
05 Least privilege for tools MCPs and APIs get scoped permissions and tests, like any other integration.
06 Ship the runbook We hand over operating notes your team can use on day one.

More about the team: Company profile

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