Databricks-centered AI foundation

One governed foundation for data, context, and AI.

ForgeNine connects authoritative data, business meaning, models, and applications into a secure operating system—so each new AI use case can reuse what the organization already knows.

Discuss your use case

Six business jobs

Platform depth organized around the outcome.

Product choice follows the workflow, context gap, evidence standard, environment, and risk—not a generic reference diagram.

Governed data foundation

Give analytics and AI reliable access to authoritative business data.

Applicable products: Lakeflow Connect · Lakeflow Spark Declarative Pipelines · Delta Lake · Lakehouse Federation
ForgeNine role: Source authority, contracts, quality, lineage, recovery, and cost design.

Business context layer

Connect definitions to the events, decisions, policies, and expert knowledge that explain the business.

Applicable products: Unity Catalog business semantics · Genie instructions · Vector Search · governed knowledge patterns
ForgeNine role: Semantic design, narrative knowledge, provenance, corrections, and retrieval evaluation.

Analytics and conversational BI

Help teams ask better questions against governed data and shared business meaning.

Applicable products: Databricks SQL · AI/BI Dashboards · Genie
ForgeNine role: Metric design, performance, access, testing, and decision-workflow adoption.

Models and agent systems

Build evaluated intelligence that performs a bounded business job with visible evidence.

Applicable products: Mosaic AI · MLflow · Agent Framework · Vector Search · Model Serving
ForgeNine role: Use-case design, grounding, evaluation, guardrails, serving, and monitoring.

Secure internal applications

Put governed AI where teams already make decisions and complete work.

Applicable products: Databricks Apps · Lakebase
ForgeNine role: Application architecture, identity, human controls, operational integration, and recovery.

Governance and operations

Reuse the foundation without losing policy, provenance, release control, or ownership.

Applicable products: Unity Catalog · Workflows · Asset Bundles · Data Quality Monitoring · System Tables
ForgeNine role: Access boundaries, CI/CD, observability, release gates, runbooks, and transfer.

What “one foundation” means

One operating model, not one physical database.

Your data does not need to be copied into one physical database. Authoritative systems can remain controlled while AI reuses consistent access, semantics, context, identity, and evidence standards.

Sources stay authoritative

Access and federation follow environment and risk.

Context becomes reusable

Events, decisions, definitions, and corrections inform more than one app.

Applications inherit controls

New experiences start with approved identity, evidence, and operating patterns.

Architecture follows context

Bring the workflow and the environment.

ForgeNine will identify the minimum governed foundation required to make the use case trustworthy and operable.

Discuss your use case