Discover
Understand the problem, users, data, constraints, risk, and success criteria.
Intelligent Software Engineering
CraftWyre creates AI platforms, enterprise search systems, document intelligence tools, and custom software that help organizations turn fragmented information into reliable action.
Source-grounded
Evaluation-led
Human oversight
Production-oriented
Connected capability
We combine retrieval, software architecture, applied AI, and careful evaluation to build systems that fit real operations—not isolated demonstrations.
At a glance
0Engineering capabilities across retrieval, agents, and product work
0Stages from discovery to continuous improvement
0Engineering principles applied to every system we ship
0Internal product in active development — Groundline
CraftWyre products
Our internal products explore demanding legal, public-service, and enterprise knowledge workflows.
How we work
Architect
Design information flow, retrieval, tools, permissions, evaluation, and delivery.
Build
Implement the product, integrations, data pipeline, interface, and admin controls.
Evaluate
Test retrieval quality, faithfulness, safety, usability, latency, and cost.
Deploy
Configure infrastructure, security, monitoring, documentation, and handover.
Improve
Use observed failures, feedback, and evaluation data to strengthen the system.
Engineering principles
We treat grounding, permissions, evaluation, and maintainability as core product features.
Source-grounded answers
Important outputs should point back to the evidence that supports them.
Measurable evaluation
Retrieval, faithfulness, safety, latency, and usefulness are tested before claims are made.
Human oversight
High-impact decisions keep clear permissions, review points, and accountable owners.
Secure architecture
Access controls, data minimization, protected secrets, and auditable actions begin at design time.
Operational visibility
Teams need to understand what the system retrieved, decided, and could not resolve.
Long-term maintainability
Clear ownership and understandable architecture matter beyond the first release.
Selected work
Sample case study
A source-aware knowledge system for complex professional documents
An illustrative view of how CraftWyre approaches ingestion, hybrid retrieval, citation verification, permissions, evaluation, and human review. No client, result, or performance metric is implied.
Illustrative workflow. Replace this sample only after the underlying project facts and results are verified.
Have a difficult software or AI problem?
Tell us what you are trying to build, improve, or automate. CraftWyre will help you determine the right architecture and a realistic path forward.
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