FidetoLabsOverview
FidetoLabs is a structured way to run enterprise data: a governed data platform, an API and model surface, and an operator experience (dashboards and agents) that all reference the same definitions. The goal is one coherent stack—not a pile of disconnected tools or duplicate sources of truth.
For a product-oriented walkthrough with a live sample, see Solutions. For how engagements run from kickoff to production support, see Process.
Architecture
The stack has three layers. They are different kinds of systems—not three interchangeable “API products.”
Foundation — Data platform
Foundation is your data platform: ingestion into governed zones, metadata and lineage in the catalog, orchestrated pipelines, and enforcement of quality and access before anything is exposed downstream. It is not a dashboard and not a bundle of product APIs—it is the substrate Nexus and Intelligence build on.
- Lakehouse-style zones (raw → curated → consumption)
- Unified catalog, lineage, and data quality gates
- Policy and identity integrated with how data is stored and moved
Nexus — APIs & analytical models
Nexus exposes REST and event interfaces grouped by domain. Alongside transactional and query APIs, it hosts analytical and statistical models (forecasting, anomaly detection, scoring) as versioned, callable surfaces—so applications and batch jobs share the same contracts instead of forked notebooks and ad hoc services.
- Domain API groups with stable OpenAPI-style contracts
- Analytical ML and classical statistics exposed as named model endpoints
- Observable routing, auth, and rate limits across the whole API plane
Intelligence — Dashboard & agents
Intelligence is the experience layer: curated dashboards wired to semantic metrics from Nexus, and an agent that can answer questions, explain drift, and propose or execute allowed actions against the same governed definitions. It sits above the platform and APIs—never a second source of truth.
- Role-aware dashboards and KPIs tied to catalog definitions
- Agent with tools for query, explanation, and guarded automation
- Designed to delegate to Foundation and Nexus—not duplicate them
Delivery lifecycle
Work is sequenced from alignment through production support: strategy session, technical design, build and integration, testing, controlled release, then ongoing operations. The full breakdown lives on the Process page.
- Strategy session — scope, constraints, environments
- Architecture & technical design — contracts and NFRs
- Development & integration — CI, reviews, contract tests
- Testing & QA — automation, staging, sign-off
- Deployment & release — rollout, migrations, rollback
- Production support — monitoring, incidents, iteration
Sample API
The Solutions page includes a sample analytical surface backed by a read-only mock route. It exists to illustrate how each layer differs in purpose and payload shape—not to represent production URLs or authentication.
Endpoint
GET /api/demo/surface?layer=foundationUse lowercase query values foundation, nexus, or intelligence — each maps to the Foundation, Nexus, or Intelligence layer.
- Foundation — Mock data-plane and platform-service status (catalog, ingestion, pipelines, policy). Represents the data platform, not a generic REST catalog of unrelated endpoints.
- Nexus — Mock domain API groups plus analytical ML and statistics exposed as named model endpoints with example paths and notes.
- Intelligence — Mock dashboard bindings and an agent capability list with a sample user exchange. Represents the dashboard and agent layer.
Responses include headline, description, and a demo object. Omitting layer defaults to the Foundation layer (query value foundation).
Next steps
To discuss fit, constraints, and a realistic first phase, book a strategy session. For the interactive sample and layer-by-layer copy, use Solutions first; use this page as the stable reference for terminology and the mock API.