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CAS Intelligence Lab

Research & investigations

The lab moves CAS beyond the image of an ordinary software house or training institute. Work below is labeled honestly: CAS Research and internal engineering demonstrations until client work is published.

Language IntelligencePrototype

AI Knowledge System

An internal demonstration of grounded answering over a curated technical corpus, with layered grounding metrics and citation precision tracking.

EmbeddingsVector searchRerankingDecoder-only LLM
Multimodal VisionOngoing

Multimodal Search

Cross-modal search over documents containing layout, text and figures — measuring where aligned encoders break on real page structures.

Vision encoderText encoderAlignment projectionHybrid search
EngineeringPrototype

Intelligent Document Platform

An end-to-end pipeline turning unstructured documents into queryable, versioned knowledge with provenance for every extracted claim.

ParsingExtractionStructured storeProvenance index
Computer VisionOngoing

Vision Intelligence Platform

A detection and tracking testbed focused on calibration and hard-case mining: how confidence handling changes downstream decision quality.

DetectionTrackingCalibrationData engine
Agentic SystemsPrototype

Agentic Workflow Engine

A supervised agent runtime with budgeted tool calls, full tracing and staged autonomy — our reference implementation for enterprise agency.

OrchestrationTool schemasTracingPolicy gates
Data & InfrastructurePublished internally

AI Analytics Platform

Cost and quality telemetry per model, per feature, per request class — the instrumentation we consider mandatory before scaling any AI system.

TelemetryRoutingEvalsDashboards

Open Experiments

What the lab works on

Architecture investigations, model experiments, technical articles, neural network visualizations, benchmarks, research engineering and open educational experiments.

Have a hard question worth measuring?

The lab takes feasibility studies designed to produce decisions — including negative results.

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