Context Engineering
Reliable, versioned LLM pipelines for your clinical and scientific workflows - built by senior engineers and clinicians, ready in weeks, not quarters.
If you have a workflow where a language model could help - triaging literature, summarizing against guidelines, screening for a systematic review - you've probably already tried a prompt and been disappointed by its consistency. That gap between "it worked once" and "we trust it in production" is what we close. We build the pipeline around the model: the retrieval layer, the instructions, the tool calls, the structured outputs, and the regression tests that keep it honest on every change. You get a versioned API endpoint, a clinician-in-the-loop review interface, and evidence that it still behaves the way you expect each time we ship an update. Book a call and we'll walk you through a pipeline built for a workflow close to yours.
If you have a workflow where a language model could help - triaging literature, summarizing against guidelines, screening for a systematic review - you've probably already tried a prompt and been disappointed by its consistency. That gap between "it worked once" and "we trust it in production" is what we close. We build the pipeline around the model: the retrieval layer, the instructions, the tool calls, the structured outputs, and the regression tests that keep it honest on every change. You get a versioned API endpoint, a clinician-in-the-loop review interface, and evidence that it still behaves the way you expect each time we ship an update. Book a call and we'll walk you through a pipeline built for a workflow close to yours.
Benefit
From prototype to production. Move past one-off prompts to a pipeline you can actually rely on for daily work.
Evidence it works. Every version is regression-tested against a reference dataset curated with your team.
Keep your clinicians in the loop. A built-in review interface lets your experts inspect, correct, and approve outputs.
Predictable cost. A monthly subscription per pipeline — not an hourly meter.
No lock-in. The pipeline code, prompts, and tool definitions are yours. Take them with you if you ever want to.
What's Included
A documented context specification — what goes in, what comes out, and why.
A curated reference dataset of representative inputs built jointly with your team.
A regression harness you or we can re-run on demand.
A versioned, deployed API endpoint ready for your stack.
A clinician-in-the-loop review interface for expert oversight.
A change log and release notes for every version.
Ongoing maintenance under the monthly subscription.
Process
Discovery call. Tell us the workflow. We'll tell you honestly whether context engineering is the right fit.
Scope agreement. Inputs, outputs, and acceptance criteria written down before we build.
Reference dataset. We curate the representative inputs together.
Build and test. The pipeline is built, tested against the reference set, and reviewed with your experts.
Deploy. Your versioned API endpoint goes live with documentation.
Handover. Code, prompts, and operating instructions delivered as your repository.
Live service. Monthly subscription covers updates, regression runs, and support.
Unit of delivery: one maintained pipeline per workflow. Pricing: monthly subscription per pipeline, with a per-run component above a defined volume. First production version: 3 to 4 weeks.
Ready to see it on your workflow? Book a 30-minute call.
Benefit
From prototype to production. Move past one-off prompts to a pipeline you can actually rely on for daily work.
Evidence it works. Every version is regression-tested against a reference dataset curated with your team.
Keep your clinicians in the loop. A built-in review interface lets your experts inspect, correct, and approve outputs.
Predictable cost. A monthly subscription per pipeline — not an hourly meter.
No lock-in. The pipeline code, prompts, and tool definitions are yours. Take them with you if you ever want to.
What's Included
A documented context specification — what goes in, what comes out, and why.
A curated reference dataset of representative inputs built jointly with your team.
A regression harness you or we can re-run on demand.
A versioned, deployed API endpoint ready for your stack.
A clinician-in-the-loop review interface for expert oversight.
A change log and release notes for every version.
Ongoing maintenance under the monthly subscription.
Process
Discovery call. Tell us the workflow. We'll tell you honestly whether context engineering is the right fit.
Scope agreement. Inputs, outputs, and acceptance criteria written down before we build.
Reference dataset. We curate the representative inputs together.
Build and test. The pipeline is built, tested against the reference set, and reviewed with your experts.
Deploy. Your versioned API endpoint goes live with documentation.
Handover. Code, prompts, and operating instructions delivered as your repository.
Live service. Monthly subscription covers updates, regression runs, and support.
Unit of delivery: one maintained pipeline per workflow. Pricing: monthly subscription per pipeline, with a per-run component above a defined volume. First production version: 3 to 4 weeks.
Ready to see it on your workflow? Book a 30-minute call.
Question in mind?
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