Unlock growth, margin, and compliance by activating data across funds, clients, and operations. SCIKIQ unifies Nippon Life India AMC’s data into AI-ready products, powering faster, safer, and more profitable investment decisions.
With 85% faster integration and 70% lower data-prep cost, SCIKIQ transforms fragmented investment, risk, and client data into a living knowledge graph—enabling margin protection, compliance, and differentiated client service at scale.
Captured from 28 sources across strategy, leadership, lines of business, competition, geographies, capabilities and recent signals — and used to ground everything below.
The maturity curve runs from visibility, to explanation, to natural-language reasoning, to action — and each step depends on the one before it.
Bring together portfolio, client, risk, and operations data across all funds and channels. See exposures, flows, and compliance in one place—eliminating blind spots.
Unified viewModel relationships between funds, mandates, clients, assets, and incidents. Trace root causes of performance or compliance issues instantly.
Root-cause clarityAsk natural-language questions about flows, breaches, or performance. Get explainable, auditable answers grounded in your real data.
Explainable AIAutonomously rebalance portfolios, flag suspicious activity, or trigger client communications—closing the loop from insight to action.
Autonomous actionAccelerate time-to-market for new products, respond to regulatory changes, and deliver differentiated client experiences—faster than HDFC AMC, SBI MF, or Axis AMC.
Speed & agilityBuilt bottom-up, because trust compounds upward: agents are only as safe as the copilot's grounding, the copilot only as reliable as the graph, the graph only as complete as the 360° model beneath it.
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.
Data remains in your core systems—SCIKIQ unifies business concepts, not just technical feeds, stitching together funds, clients, risk, and operations into a living 360.
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.
See every fund’s exposures, flows, compliance, and incidents in one place—across all asset classes.
Unified view of each client’s mandates, transactions, risk flags, and communications—enabling targeted retention.
Real-time monitoring of all regulatory and internal breaches, with full lineage to root cause.
Track trade cycles, settlement status, and operational risks across all business lines.
Monitor data provider performance, SLA adherence, and incident history—proactively managing third-party risk.
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.
When the four layers are in place, leadership sees a single live view — every number traceable to its source, every alert to its root cause.
Entities and their typed relationships as one connected, physics-driven graph. Drag nodes, scroll to zoom, click to inspect — or trace the live scenario from root cause to business outcome.
Ask plain-language questions about portfolio exposures, compliance, or client risks—grounded in real Nippon AMC data. Language models supply the fluency; the graph supplies the truth.
Every agent draws on the same graph and semantic layer — then closes the loop with a real transaction in the source system.
“Can we trust it?” — answered by design, not by promise.
Every leader sees themselves — each use case builds on a business 360 and the four pillars it needs: 1 Enterprise 360 · 2 Knowledge Graph · 3 AI Copilot · 4 Agent Factory.
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.
Built once, the context layer becomes shared infrastructure — so each new AI initiative starts from enterprise context, not a blank integration backlog.
We would prove the context layer in three focused sprints — earning the right to scale with evidence, not slideware.
Connect Fund Admin, Risk, and CRM for a first Fund & Client 360.
Expand to Market Data, Compliance, and Portfolio Mgmt; enable AI Copilot Q&A.
Deploy autonomous agents for rebalancing, notifications, and data monitoring.
In under 4 months, Nippon AMC moves from fragmented data to AI-activated, autonomous asset management—protecting AUM, margin, and compliance.