IAAS (internally: Signals Platform) is a self-hosted, multi-tenant data-intelligence platform: a domain-agnostic core that every new purpose plugs into as a pack, rather than a new system built from zero. Social listening and biomedical research already run on it; the design carries any domain that needs to ingest, enrich, and reason over data at scale.
A generic core handles ingestion, conformance, and enrichment once, and every new purpose is expressed as a domain pack on top of it rather than a parallel pipeline. Adding a new use case means adding a pack, not standing up new infrastructure.
Shared hosting with enforced tenant isolation is the default posture. A client who needs their own instance gets a dedicated deployment from the same fixed artifacts, not a re-architecture. Public data is shared; a tenant's own briefs, enrichments, and reports stay siloed, always.
Every service holds a per-container identity issued by an internal certificate authority, and tenant scope and capability are derived from that identity rather than from a password or a shared secret. Humans authenticate through SSO; services authenticate to each other over mutual TLS. Nothing is shared that doesn't have to be.
Row-level security in the database, a storage broker that holds every object-storage key so applications never touch raw storage directly, and namespace-scoped access in the query engine: tenant isolation is enforced structurally at each layer independently, not by application discipline alone.
A single gateway owns all topology. Applications are configured against one endpoint and hold zero knowledge of where storage, database, or engine actually run, so moving or scaling a backend is a gateway configuration change, not an application change.
Storage, compute engine, and catalog are each defined as an interface with a current provider behind it. Swapping the provider behind any of them is a configuration change, not a migration project.
IAAS runs on our own hardened-images base: non-root, digest-pinned, scanned, and signed containers underneath every service in the platform, not a separate hardening pass bolted on afterward.
Self-observing by design: every application emits business and technical telemetry through the same embedded path, tenant-tagged from identity, so operating the platform doesn't depend on any team remembering to add instrumentation later.
Fixed artifacts, per-instance configuration. The platform release is immutable and versioned; a deployment is that release plus one environment file keyed on its endpoint. Production, staging, and every client instance run the identical artifacts.
Whether it's social listening, research, or something entirely new, ask how the substrate and domain-pack model applies, or open IAAS directly.