Define the freight job
Name the inputs, accepted outcome, operator decisions, failure modes, and authority boundary.
01
MODELS / ADAPTATION / EVALUATION
Custom logistics model systems, evaluated for the job.
We select the base model, build the freight data and evaluation loop, add retrieval, rules, and tools, and fine-tune or train adapters when evidence shows a measurable gain. Then we operate the versioned runtime inside your product boundary.
Custom means evaluated for the job.
Training is one tool, not the product. The deliverable is a versioned logistics workflow system that passes agreed freight acceptance tests.
We document the model source, adaptation method, inference host, external providers, retention behavior, and rollback path for the selected deployment.
Build gold examples
Turn representative partner work and expert corrections into an evaluation set.
Select the base model
Choose the model class and license that fit quality, latency, deployment, and economic constraints.
Adapt the system
Add retrieval, rules, prompts, and scoped tools before assuming weight changes are necessary.
Train when it wins
Use fine-tuning or adapters only when the evaluation set demonstrates a material improvement.
Release + monitor
Version the model, policy, prompts, tools, and acceptance results; monitor and roll back as one release.
What the partner receives.
Prompting is not the deliverable. Each pilot produces the evidence and operating artifacts required to release the capability inside a partner product.
Gold set + freight evaluations
Representative cases, expected outcomes, error categories, and rollout thresholds.
Model + policy manifest
Named model source, adaptation method, rules, prompts, versions, and human authority.
Runtime + tool adapters
Scoped reads, writes, communication actions, identity checks, and durable workflow state.
Release operating plan
Monitoring, regression checks, owner escalation, data controls, and rollback procedure.
Questions we answer in the architecture review.
These answers are deployment-specific and become part of the technical plan before a pilot begins.
Which base model and license apply?
Document model origin and the specific Sumlabs adaptation, if any.
Architecture reviewWhere does inference run?
Define host, region, data path, and any external model or voice provider.
Architecture reviewCan partner data change model weights?
Define retrieval scope, retention, deletion, and require explicit agreement before any training use.
Architecture reviewHow is quality measured?
Name the evaluation set, sample, date, method, and rollout threshold.
Architecture reviewHow does rollback work?
Define release gates, version identifiers, monitoring, and the rollback procedure.
Architecture review04
ONE WORKFLOW
Bring the freight job.
Define the proof.
We’ll scope the data, evaluation set, model method, tool boundary, and evidence required for rollout.