Your question
A running system lacks grounded answers, misses evidence, requires excessive review or costs too much.
MODEL EVALUATION & SPECIALIZED TRAINING
Find the bottleneck and improve the right component
Locate bottlenecks in data, parsing, knowledge, retrieval, prompts, models and tools, then improve RAG, routing and inference where it matters.
SERVICE SCOPE
Delivery around the problem you need to solve
What we do
Collect problem examples → Locate bottlenecks → Improve retrieval and models → Run regression evaluation → Release under control.
What you receive
Diagnosis, knowledge or retrieval configuration, optimization plan, before-and-after evaluation, deployment and rollback instructions.
GET STARTED
Define the task and constraints first
Describe input types, correct outcomes, the current system, main problem, deployment constraints and expected deliverables. Sample transfer follows confirmation of authorization and scope.
Real task
Input types, current outcomes and metrics to improve.
Operating conditions
Cloud, private environment or edge devices, with latency, compute and budget constraints.
Delivery scope
Agree on base-model licensing and rights to customer-specific outputs and general methods.
QUALITY & COST
Measure task outcomes and track improvements by version
Quality, stability, latency, cost per valid result and deployment fit determine the solution. Evaluation and training data are managed separately; expert review and regression gates control changes.