FidetoLabs“We stopped debating whose spreadsheet was right. One warehouse, one definition of revenue — finally aligned with finance.”
The Central Axis for Enterprise Data.
Fragmented data environments integrated into a unified ontology. Powering the next generation of Analytical APIs and Context-Aware AI.
Solutions
Foundation, Nexus, Intelligence
Scroll—the spine lights each layer in order. The detail card tracks what's in focus.
Data platform
Foundation
Where data lands, is governed, and is prepared—storage, catalog, pipelines, policy.
APIs & analytical models
Nexus
A coordinated set of APIs—plus ML and statistics models you call like any other endpoint.
Dashboard & agents
Intelligence
Operator-facing dashboards and an agent that reasons over metrics and takes actions.
Foundation
The platform under everything else
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
Stack alignment
Built to sit on top of your existing data platform.
SnowflakeBigQueryRedshiftDatabricksdbtFivetranAirbyteFiveTranLookerModeMetabaseSupersetSupabasePostgresKafkaOpenAI
Access & governance
- SSO / SAML integration and role-based access.
- Least-privilege patterns for analysts and agents.
- Audit trails on queries and sensitive actions.
Data protection
- Column-level tagging for PII and compliance scopes.
- Configurable retention windows by domain.
- Encryption in transit and at rest in your stack.
Reliability & operations
- Runbooks for ingestion incidents and schema drift.
- Alerting on freshness, volume, and failed jobs.
- Versioned changes, dry runs, and staged rollouts.
Customer voices
What partners say after unified data and a single analytical surface.
“The API layer meant our product team could ship dashboards without opening tickets to data engineering every week.”
“Governance was non-negotiable for us. VPC-only paths and RBAC were designed in, not bolted on after the fact.”
“Our exec reviews finally use the same numbers as operations. The Nexus API made that possible.”
“We stopped debating whose spreadsheet was right. One warehouse, one definition of revenue — finally aligned with finance.”
“The API layer meant our product team could ship dashboards without opening tickets to data engineering every week.”
“Governance was non-negotiable for us. VPC-only paths and RBAC were designed in, not bolted on after the fact.”
“Our exec reviews finally use the same numbers as operations. The Nexus API made that possible.”
Ready for a clearer axis?
Map your data, ontology, and interfaces into one plan.
In a 45‑minute working session we inventory your sources, name the first critical metrics, and sketch the analytical surface that would actually be used.