# Kylace

> Kylace brings specialist expertise and practical testing to improve AI workloads against your goals, with reusable evaluations and ongoing review.

AI workload evaluation and improvement

## In practice: 86% lower inference cost

A production agent helped users check financial data. We tested alternative models on its actual tasks to find a less expensive configuration.

Inference cost per turn
- Previous configuration: 100% (Claude Sonnet 5)
- Selected configuration: 14% (GLM-5.3-Flash, max effort)

Costs calculated from recorded token use with cached input. One workload, 9 September 2026.

We built 22 tests from real user tasks, with automated checks for answer accuracy and tool use. The selected configuration cost less across every case.

- [The Cheapest Model Is Not the Cheapest Model](https://01.inc/research/production-model-selection)

## How we work

Kylace helps teams improve AI workloads that cost too much, fall short or need to scale. You define what better means: cost, quality, speed or reliability. We bring specialist knowledge and take on the practical work of testing alternatives.

You receive a reusable evaluation and a recommendation backed by results, with tested changes where we find a worthwhile improvement. We build or adapt the evaluation around your real cases and requirements, then prepare the models, providers and test environments. We investigate changes to the model and the wider system, including prompts, tools and how the work is organized.

We maintain the evaluation as your workload changes and investigate relevant developments in models and technology. When we find an improvement that meets your priorities, we explain the benefit, the tradeoffs and whether it warrants a change. Implementation and deployment are agreed with your team.

## Contact

If you're responsible for AI systems in production, I'd like to hear where your team needs better results, lower costs or room to scale. [Tell me about one workload](https://kylace.com/contact), and we can discuss what needs to improve and whether Kylace is a good fit. – Alf Viktor Williamsen

## Research

- [The Cheapest Model Is Not the Cheapest Model](https://01.inc/research/production-model-selection)
- [When Does Owning Inference Pay?](https://01.inc/research/on-prem-inference)
- [The Token Is Not the Unit of Intelligence](https://01.inc/research/token-per-workload)
- [Crown Chasers and Price Breakers](https://01.inc/research/the-game-beneath-the-frontier)

## Optional

- [State of Inference](https://kylace.com/state-of-inference): Model configurations measured on a practical financial reporting task, with verified error rate, inference cost and interaction turns.
- [Zero One Labs](https://01.inc): The company building Kylace.