Software and AI systems for complex operations.
We build backend services, system integrations, and AI workflows with traceable decisions, human review paths, and recovery when automated work fails.
Software and AI systems for operational workflows.
AI Workflow Orchestration
Multi-step AI workflows with system integration, review gates, traceable outputs, and explicit failure handling.
Predictive Models & Computer Vision
Classification, forecasting, and computer vision pipelines with explicit data, latency, and deployment constraints.
Model Fine-Tuning & Deployment
Model adaptation and private deployment with versioned artifacts, evaluation gates, and controlled promotion.
Unstructured Data & RAG
Document ingestion and retrieval with source attribution, validation, and review paths.
Continuous AI Validation
Evaluation harnesses that compare models, expose regressions, and block releases when evidence is insufficient.
Operator Dashboards
Interfaces for reviewing uncertain outputs, controlling long-running jobs, and recovering failed work.
Practical research behind reliable AI systems.
Technical notes from experiments and system work: evaluation harnesses, model-routing tradeoffs, human review paths, and operating patterns for reliable AI systems.
Evaluation Harnesses for AI and LLM Systems
Deterministic test surfaces, regression suites, and provenance for language-model and AI components that need to ship under review.
InfrastructureChoosing Hosted APIs or Local Models
Decision points for hosted APIs, private deployments, and hybrid routing based on data boundaries, latency, volume, and operating cost.
Review LoopsHuman Review Loops for AI Systems
Review paths where uncertain model outputs pause safely, preserve context, and return to automation with an operational record.