Diagnosis and data shaping
We examine the errors your current model makes, assess the examples you can use, and turn the task into something that can be trained and measured.
[About Attempts]
Better models start with understanding the work.
Attempts is a post-training company for teams whose generic models have plateaued on proprietary tasks. We bring task diagnosis, data shaping, and evaluation together with model tuning and dedicated GPU deployment.
Our delivered work spans Irish education, cancer research, and hiring. Each domain has its own definition of a useful answer. That definition guides the data, the test, and the training decision.
Explore our work[Working together]
Domain expertise meets measured engineering.
Evaluation and tuning
We establish a baseline, agree success criteria and a capped plan, then evaluate the tuned model on held-out examples. We show regressions and tradeoffs alongside improvements.
Deployment and handoff
When results justify it and you approve, we scope dedicated GPU inference, API integration, ownership, and operating responsibilities with your team.
Your team brings a task owner who can judge examples and approve success criteria, plus an engineering contact for integration. We agree the scope, budget, and responsibilities before training starts. If training is not the right answer, we will say so.