Retrieval & search
Prepare documents, design retrieval and ranking, and connect answers to sources while respecting access boundaries.
AI ENGINEERING / LLM Solutions
Put language models to work with context.
Build useful applications around your documents and workflows. We combine retrieval, prompting, evaluation, and integration to help language models perform a defined task.
Discuss your requirementsWHERE WE CAN HELP
Recognize the challenge?
- 01Knowledge scattered across documents and systems
- 02LLM prototypes with no reliable quality measurement
- 03Answers that lack sources, context, or appropriate access controls
WHAT WE BUILD TOGETHERA practical scope.
A practical scope.
Clear deliverables.
We shape the engagement around your current systems, priorities, and operating constraints.
Application engineering
Build interfaces and integrations for search, extraction, summarization, and other language tasks with explicit fallback behavior.
Evaluation & optimization
Develop task-specific checks and representative test sets. Compare prompting, retrieval, model choice, and fine-tuning when justified.
AN ILLUSTRATIVE APPLICATION
Find answers in internal documentation
Help staff locate relevant procedures and receive source-backed answers, with document-level permissions and an explicit response when evidence is missing.
A possible engagement, rather than a completed client project.
BEFORE WE START
A few useful questions.
Do we need to fine-tune a model?
Often, a well-designed prompt and retrieval system are enough to start. Fine-tuning is an option when evaluation identifies a behavior or task that warrants it.
Can we use private company documents?
Potentially, with a design that addresses access controls, retention, provider terms, and your data-handling requirements. These are part of discovery.
CONNECTED CAPABILITIES