01Capability
Agentic and Automated Systems
Bounded systems that use models, tools, workflows, and explicit approval points to carry out defined tasks across technical boundaries.
Domains
Core systems work applied to specialised domains
B12Y applies a consistent engineering discipline to systems involving specialised data, technical tools, and operational constraints.
Core capabilities
The technical work shared across domains
These capabilities provide the common foundation. The data, tools, controls, and evidence requirements change with each application.
02Capability
Evaluation and Operational Control
Evaluation cases, regression testing, observability, permissions, and release controls that make system behaviour measurable and manageable.
03Capability
Reproducible Data Pipelines
Dependable processing for specialised data, with versioned inputs, clear provenance, repeatable execution, and outputs that can be reviewed.
Applied domains
Specialised contexts for the same systems discipline
Each context has distinct sources, tools, risks, and standards of evidence. The examples below describe the kind of work involved without assuming a standard implementation.
01Applied domain
Scientific Research and Bioinformatics
Research agents and reproducible pipelines connecting literature, scientific datasets, specialist tools, and human review.
- Typical problem
- Research work spans fragmented sources and tools, while results need to remain traceable and repeatable.
- Technical components
- Literature and dataset retrieval, genomics or epigenomics pipelines, analysis tools, and review workflows.
- Operating constraints
- Provenance, versioned inputs, reproducibility, data handling, and scientific review.
- Typical output
- A documented research workflow, pipeline, or bounded agent that produces reviewable evidence and results.
02Applied domain
Investigation and OSINT
Systems that collect and analyse lawful public-source information while preserving the evidence trail for human investigators.
- Typical problem
- Analysts need to connect relevant entities and events across many public sources without losing source context.
- Technical components
- Collection pipelines, entity resolution, source assessment, search, structured analysis, and investigator review.
- Operating constraints
- Lawful collection, source provenance, access controls, false associations, and evidential integrity.
- Typical output
- A controlled investigation workflow with traceable sources, structured findings, and explicit review points.
03Applied domain
Blockchain Analytics and Trading Systems
Software for on-chain analysis, monitoring, research, and controlled automated trading workflows.
- Typical problem
- Decisions depend on fast-changing on-chain and market data drawn from several systems with different failure modes.
- Technical components
- Data ingestion, chain indexing, monitoring, research tools, execution controls, and reconciliation.
- Operating constraints
- Data quality, latency, key and permission boundaries, transaction finality, risk limits, and auditability.
- Typical output
- An analysis or execution system with defined authority, observable decisions, and controlled failure handling.