We Turn Ambiguous Problems into
Deterministic LLM Workflows.
An independent product team building the infrastructure that makes AI reliable.
A deployed snapshot demonstrating the pipeline's extraction capability.
Pushing the Limits of Reliability
Real-world problems are ambiguous. LLMs are chaotic. We bridge the gap using a strict 3-step protocol:
01 Structure
Breaking real-world noise into atomic units (Action / Artifact / Target).
02 Constraint
Enforcing strict schema to stop hallucinations before they happen.
03 Routing
Orchestrating tasks between models and deterministic code.
The Stack
We don't start from scratch. We deploy our own validated platform components.
Extraction Pipeline
High-volume entity recognition and schema enforcement.
Workflow State Machine
A custom engine for complex, multi-step agentic tasks.
The Eval Loop
Automated regression testing for prompt chains.
Validated Prototypes
High-Volume Ingestion
Processing 10k+ inputs into structured indexes to filter signal from noise.
Knowledge Graph Reasoning
Moving beyond RAG vectors to precise Graph relationships (Neo4j).
Industry Taxonomy Mapping
Automating the mapping of unstructured text to Standard Occupational Classifications (SoC).
Market Discovery
Validating demand-side signals over supply-side technology.