Customer churn
A customer ends or does not renew a commercial relationship.
Governed organizational context
Sparks helps experts turn documents, conversations, decisions, events, and corrections into governed organizational memory—so AI can retrieve the context behind the work while people retain judgment, authorship, and accountability.
Discuss your use case
From correct query to correct context
Business meaning changes through events, exceptions, decisions, and corrections. Sparks is designed to retain that narrative context with its sources.
A customer ends or does not renew a commercial relationship.
Event, timing, decision, source authority, downstream metric impact, and later corrections remain connected.
Illustrative example—not a client resultSupported now
Sparks is evidence of ForgeNine's engineering approach. It is not the consulting offer and not a claim that every client needs the same product.
Ingestion, source authority, evidence gates, retrieval, graph, events, and memory.
Chat, Teach Me, interviews, corrections, tasks, projects, artifacts, briefings, and inbox.
Team/private boundaries, evaluation, observability, recovery, and client provisioning.
These real Alpha screens show an interview starting state and the interview-history view. The May 2026 captures contain demonstration data and may not match the current UI exactly.
No safe tracked screenshots were available for retrieved context, correction, or evaluation states. Those states are not simulated here.


Available in the current product subject to Alpha readiness, configuration, and customer validation.
Identity, models, providers, Databricks infrastructure, integrations, and operating controls require environment review.
Future direction is labeled as vision. The current network view visualizes activity; it is not autonomous agent communication.
Bring the workflow that lacks context
ForgeNine will design the governed data, context, application, and evidence path required for your environment.