Model selection, cost optimization, and custom training with open-source frameworks — for the cases where an off-the-shelf API isn't the right answer.
Not a recommendation from a blog post. Evaluation, selection, and — when needed — a model trained for your case.
We benchmark candidate models — commercial and open-source — against your actual workload, not generic leaderboards.
We design a TokenRouter setup that sends each task to the model that fits — cutting spend without cutting quality.
Fine-tuning or training open-source models for your specific domain, using frameworks suited to your data and constraints.
The model landscape shifts monthly. We keep your routing and choices current as better options ship.
We define what "good" looks like for your use case — latency, cost, accuracy — before comparing a single model.
Candidate models tested against your real tasks, with cost and performance data, not vendor claims.
We either architect a TokenRouter routing strategy across models, or scope and run a custom training project.
You get a documented setup and a monitoring plan to catch drift or better options as the model landscape moves.
High request volume where the wrong default model is quietly costing thousands a month.
Use cases — legal, medical, technical — where off-the-shelf models underperform and custom training pays off.
Apps that need different models for different steps and want one coherent routing strategy, not five integrations.
Model Engineering is the done-for-you tier of TokenRouter. If you'd rather build it in-house, the platform is self-serve today.
Tell us what you're building. We'll scope the engagement on a call — no commitment required.