• post-training •
Post-trained
for your industry.
Generic models are trained for everyone — and specialized for no one. RouterBench post-trains open foundations into industry-specific models: our own fine-tuning, our own alignment, our own domain evaluation. Tuned for your domain, benchmarked on your tasks.
• the problem with generic ai •
One model can't be expert at everything.
General-purpose models are optimized to be good at everything on average — which means they are exceptional at nothing in particular. On specialized industry tasks they miss domain nuance, invent details, and cost more per correct answer than a model that actually knows the field.
• the RouterBench answer •
Post-training as a discipline.
01 — domain data
Your domain, distilled.
We curate and structure the data that matters for your industry — terminology, workflows, edge cases — so the model learns the way your experts actually work.
02 — fine-tuning
Our fine-tuning. Our alignment.
We take strong open foundations and post-train them for your domain: supervised fine-tuning, preference alignment and instruction tuning — specialized, not inherited on trust.
03 — evaluation
Benchmarked on your tasks.
Every release is scored against domain-specific evaluation harnesses built from your real tasks. Regressions block the release; results are reportable to your team.
04 — specialized
Beats the generalists where it counts.
A model tuned for your industry outperforms a general-purpose one on your workload — higher accuracy, fewer hallucinations, lower cost per correct answer.
05 — governable
Deployed under your policies.
Served in your perimeter under your controls — RBAC, audit logs, guardrails and budgets. The model serves the enterprise that deploys it.
06 — routable
First-class in the router.
Your post-trained models are scored by the same AI Credit Score™ and picked by the same router — with policy to force domain workloads onto them.
• who it's for •
Built for industries with a language of their own.
When the vocabulary, workflows and standards of your field are the difference between a useful answer and a wrong one.
- healthcare — Clinical language, coding standards and safety-critical accuracy
- finance — Regulated workflows, risk language and auditable outputs
- legal — Contract and case language with citation-grade precision
- engineering — Domain jargon, specs and manufacturing/energy workflows
A model tuned to your industry.
Tell us your domain and we'll scope a post-training program — data, fine-tuning, evaluation and deployment, benchmarked on your real tasks.