200+ connectors — every source, no latency, no code.
Contextualize, model and prepare data for every team.
Governed, lineage-traced, compliant by design.
Copilots, agents, data products and APIs that act.
Unifies investment, risk, client, and operations data across all business lines and systems for a single, trusted view.
Maps relationships between portfolios, mandates, clients, assets, and incidents for deep causal tracing.
Conversational AI grounded in Nippon AMC’s data, delivering explainable, auditable answers to business and compliance queries.
Autonomous agents to execute rebalancing, send alerts, or remediate breaches—directly in source systems.
200+ pre-built connectors ingest data from Fund Admin, CRM, Risk, and Market Data systems.
Business rules map and tag funds, clients, mandates, and incidents—enriching raw data with business meaning.
Entity resolution and relationship modeling unify exposures, flows, and compliance across silos.
Lineage, access controls, and data quality checks ensure trusted, auditable data for all users.
SCIKIQ delivers an AI-first, no-code data-fabric proven at scale—cutting integration time by 85% and cost by 90% vs. custom builds, with 200+ connectors for AMC core systems.
Goes beyond dashboards: creates a living knowledge graph and agent layer for root-cause tracing and autonomous action—no more static reports or siloed analytics.
Contextualizes data to AMC business concepts (funds, mandates, clients, breaches), not just technical tables—enabling explainable AI and regulatory-grade lineage.
Answers are grounded in real, governed AMC data—not hallucinated. Agents can act (rebalance, notify, report), not just chat.
Automate detection, root-cause tracing, and closure of compliance breaches—protecting AUM and reputation.
Trigger autonomous rebalancing on mandate breaches, with full audit trail and compliance reporting.
Identify and engage at-risk HNI/institutional clients after incidents, reducing churn and protecting flows.
Automate data collation, mandate modeling, and SEBI submission—cutting time-to-market by 60%.
Monitor data feed health, trigger fallbacks, and escalate to vendors—reducing operational risk.