Context Engineering

Benefit

• Reliable, Reproducible Pipelines: Versioned prompt-and-retrieval pipelines that behave consistently across runs - no prompt drift, no silent regressions.

• Clinical Accuracy at Scale: Context engineered by senior PhD and MD contributors who understand the domain, not just the syntax.

• Faster Time-to-Production: Pre-built reference datasets and regression suites cut validation cycles from weeks to days.

• Seamless Integration: Pipelines ship as API endpoints that plug into your existing infrastructure without rebuilding your stack.

• Transparent Quality Control: Every pipeline version is testable, auditable, and re-runnable by your own team or a third-party reviewer.

What's Included

• Workflow Scoping: Defining the clinical or scientific workflow the pipeline will serve - inputs, outputs, acceptance criteria, and edge cases.

• Context Specification: A documented prompt-and-retrieval design with rationale for every architectural decision.

• Reference Dataset: A curated set of representative inputs and expected outputs, owned by the customer, used for regression and QA.

• Regression Harness: An automated test suite re-runnable on every new pipeline version to catch degradation before it reaches production.

• API Endpoint Deployment: Pipeline delivered as a versioned, callable endpoint - integrated into your workflow on day one.

• Clinician-in-the-Loop Interface: A lightweight review interface for domain experts to validate and flag pipeline outputs during operation.

• Version Control and Change Log: Every pipeline iteration tracked with a documented change log so you know exactly what changed and why.

Process

1. Workflow Definition: You submit a description of the target workflow - the task, the input types, the required output format, and any regulatory or institutional constraints.

2. Context Architecture Design: We design the prompt structure, retrieval strategy, and output schema, and share a specification document for your review before any code is written.

3. Reference Dataset Curation: We build a representative dataset of inputs and expected outputs jointly with your team or domain expert, which becomes the ground truth for all evaluation.

4. Pipeline Build and Internal Testing: We build the pipeline against the specification and run it against the reference dataset, iterating until it meets the agreed acceptance criteria.

5. Client Review and Sign-off: We deliver the pipeline, the test results, and the documentation. You run the regression harness against your own inputs and confirm acceptance.

6. Deployment and Handover: Pipeline goes live as an API endpoint. You receive the full codebase, dataset, and harness - everything needed to run, audit, or extend it independently.

Pricing

• Starter: $1,500 / month

  • One maintained pipeline, up to 5,000 runs/month, reference dataset, regression harness, and API endpoint. Includes one version update per month.

• Professional: $3,500 / month

  • Up to three maintained pipelines, up to 25,000 runs/month, clinician-in-the-loop review interface, priority version updates, and quarterly performance review against the reference dataset.

• Enterprise: Custom pricing

  • Unlimited pipelines, high-volume or on-premise deployment, custom SLA, dedicated senior contributor, integration support, and white-glove onboarding for regulated environments.

Beste Health's Context Engineering as a Service ensures that every clinical and scientific LLM workflow your team depends on is built to last - versioned, tested, auditable, and owned entirely by you.