Simiya (Platform + SimiyaID + Discovery Hub)

What It Is

Simiya is an AI-powered domain identification and multi-source discovery platform built as three interconnected products. SimiyaID identifies domains through 26 MCP tools with Being/Doing/Becoming enrichments. The Discovery Hub connects 10 adapters for multi-source entity discovery. The Simiya Platform delivers the full 10x10 methodology with swarm architecture, AI Gateway integration, 5 Canvas visualizations, and client handoff ZIP export at simiya-platform.vercel.app.

Why It Matters

Enterprise architecture frameworks map what exists: systems, processes, capabilities, data. They produce inventories. Most practitioners inventory what an organization has. They miss the harder question: what is it . The answer determines whether domain intelligence reveals structural truth or catalogs artifacts.

Simiya discovers what must exist. The 10 discovery operations work on the generative Becoming layer, using established scaffolding (Porter's value chain for Being, APQC's process classification for Doing) to surface entities, relationships, and capabilities that are structurally implied by the organization's value chain but have never been named. These are not suggestions -- they are mathematical necessities derived from Formal Concept Analysis lattices, Galois connections, and natural transformations. The swarm architecture runs 10 specialist Haiku agents in parallel with a Sonnet agent for synthesis, producing 4-8x cost reduction versus single-agent approaches while maintaining quality through operation independence.

Proof Points

SimiyaID: 26 MCP tools, 113 tests passing, Being/Doing/Becoming enrichments, Materialization engine, slug utilities
Discovery Hub: 9 MCP tools, 10 adapters (filesystem, MCP servers, schema files), 78 tests passing, CLI interface
Platform: 73 tests passing, 5 Canvas visualizations, thinking shell, markdown export, client handoff ZIP
Combined: 264 tests across the three-product family
Deployed at simiya-platform.vercel.app -- AI SDK v6, Vercel AI Gateway
Haiku specialist swarm (10 agents) + Sonnet synthesis = 4-8x cost reduction verified in production
Three-phase pipeline: Frame (Porter + APQC alignment) then Triplets (B/D/B extraction) then Magic (10 parallel discovery operations)
10 validation invariants ensure discovered entities capture organizational truth

Market Position and IP

Patent-protected methodology (USPTO 19/418,922). Simiya is the only platform that implements mathematically grounded ontological discovery -- not taxonomy management, not entity mapping, but formal operations (FCA lattice completion, Galois connections, transitive closure, natural transformations) that discover what must exist. The three-product architecture creates a complete pipeline from raw organizational data to actionable domain intelligence with client handoff. No competitor provides generative domain discovery. The swarm cost architecture (4-8x cheaper than single-agent) makes the methodology commercially viable at scale. The Being/Doing/Becoming framework and 10 Effects of Magic methodology represent proprietary IP with no equivalent in the market.

Novel Research Contribution

Simiya is the production implementation of the Being/Doing/Becoming ontological framework and the 10 Effects of Magic discovery methodology. Existing enterprise architecture research treats domain discovery as a classification problem (assign entities to categories). Simiya demonstrates that discovery is a generative problem -- formal mathematical operations produce entities that were invisible to classification approaches. The 10 validation invariants provide falsifiable guarantees on discovery quality, a standard no existing EA tool meets.

Implementation and Impact

Clients receive a domain identification engagement delivered through the Simiya Platform. The three-phase pipeline runs in days, not months: Frame aligns to Porter value chain and APQC process classification, Triplets extracts Being/Doing/Becoming per entity, Magic runs 10 parallel discovery operations. Output includes a complete domain ontology, gap analysis (Mendeleev-style predictions of missing entities), materialized entity profiles, and a client handoff ZIP for import into their systems. Measurable outcome: organizational entities discovered that were structurally invisible to traditional EA methods.

Connections

Imperatives: 10x10 Domain Intelligence, Fractal Design
Papers: being-doing-becoming
Frameworks: Simiya Methodology (Being/Doing/Becoming), 10 Effects of Magic
Capabilities: Knowledge Architecture and Ontology