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SELECTED WORKAVORRIA DIGITAL STUDIO · LONDON & GLOBAL
START SOMETHING WORTH BUILDINGEnterprise talent acceleration platform leveraging autonomous agent architectures, real-time skill taxonomy graphs, and bespoke user interfaces.
Client
CareerOS Systems
Year
2025
Industry
Artificial Intelligence & Enterprise Systems
Services
ai development, digital systems, web application
Real-time role alignment engine utilizing PostgreSQL pgvector for sub-100ms similarity scoring
Production codebase captureTalent development in technical industries requires structural analysis, not self-reported surveys.
CareerOS needed to evaluate employee competencies against living industry taxonomies. The system required structured inputs, deterministic scoring models, and clear progression ladders.
We combined high-dimensional vector embeddings with human-verified capability rubrics.
Engineering Stack
A website is only as valuable as the business machinery behind it. We design and deploy bespoke AI development, autonomous workflow engines, and commercial data infrastructure that power modern digital operations.
Technical teardowns and architectural essays from The Lobby explaining the principles behind this deployment.
Every AI SaaS tool promises to transform your workflow. Most deliver a partial solution that fits a generic use case rather than yours. The engineering criteria for deciding when custom AI justifies the investment.
Not a pitch for AI transformation. A specific, engineering-grounded account of the workflows that AI agent pipelines reliably automate today — and the ones that remain too fragile for production use.
Production systems built under similar operational constraints and commercial requirements.
Low-latency trading analytics interface engineered for professional proprietary trading firms requiring sub-millisecond data visualisations and disciplined risk controls.
Inspect DeploymentA structured commercial marketplace platform engineered for UK asset finance, connecting businesses, equipment suppliers, and specialist lenders through automated financing workflows.
Inspect DeploymentIntegrate deterministic vector taxonomy pipelines and schema-validated AI evaluators into enterprise operations.
Every competency node in CareerOS is indexed with semantic vector embeddings. When an engineer submits a technical portfolio, the evaluation pipeline maps their proven experience against verified competency trees.
PRODUCTION SYSTEM SPECIFICATION
CareerOS vector graph taxonomy and capability laddering interface
CareerOS deployed across enterprise client cohorts, eliminating unstructured prompt hallucination through strict Zod schema constraints and PostgreSQL database triggers.
Technical talent teams now audit engineering progression against verifiable code submissions rather than subjective self-evaluations.
Production talent orchestration platform deployed across enterprise client cohorts.
Eliminated manual competency spreadsheet audits through automated AI rubrics.