Your data is ready. Your AI isn't governed. Your regulators are watching. Tantor is the intelligence hub that converges data federation, governance, and agentic AI — purpose-built for industries where every decision carries weight.
Built for BFSI · Healthcare · Utilities
Regulated enterprises are deploying AI at pace — but on fragmented data, ungoverned models, and agents without guardrails. The result isn't a technology gap. It's an accountability gap.
Dozens of systems. Zero unified fabric. Ungoverned queries create compliance exposure, not insight.
Monitoring after the fact isn't accountability. Without lineage, observation is not the same as control.
In regulated industries, an unexplainable AI decision isn't just wrong — it's indefensible.
Federation without governance. Governance without federation. AI without either. The consequences are measurable.
Tantor doesn't integrate separate tools. It converges them — sharing one policy framework, one lineage graph, and one audit trail across your entire data and AI estate.
100+ connectors across cloud, on-prem, SaaS, and legacy. Real-time. Zero data movement. Zero residency violations.
Four layers: data → model → agent → decision. Every outcome traceable. Every decision reconstructable for any regulator.
Pre-built industry agents or bring your own via MCP. Every agent runs on federated data, under full governance, with complete audit trails.
Not features. Architectural commitments — embedded into every layer of the platform from day one.
Policies enforced at the point of query — not at the point of audit. Every data access, model inference, and agent action is governed from the moment it occurs. See how Tantor's governance layer works →
Structured, semi-structured, unstructured — all queried in real time without moving data from its source. The foundation that makes enterprise AI possible without massive migration projects. Explore data federation →
RAG grounding prevents hallucination. Bias monitoring operates at the outcome level. Every decision is explainable and reconstructable — safe for regulated workflows. Browse the AI Marketplace →
Data-level, model-level, decision-level — in human-readable language. Not statistical abstractions. The kind of explanation a regulator, auditor, or affected customer can actually read. See Compliance & Trust →
Run the entire intelligence hub — agents, governance, federation — on premises, in private cloud, or fully air-gapped. Data residency enforced at the platform level. Aligned with DPDP Act, EU AI Act, and GDPR.
Enterprises often evaluate Tantor alongside platforms that excel in a single dimension. Here's what changes when all three converge.
| Capability | Federation-First Platforms | Governance-First Platforms | Agent-First Platforms | Tantor |
|---|---|---|---|---|
| Real-Time Federated Data Access | ✓ Core strength | Not available — relies on pre-staged data | Limited — typically single-source connectors | Real-time federation across structured, semi-structured, and unstructured data — governed at point of query |
| Data, Model, Agent & Decision Governance | Data-level RBAC only — no model or agent governance | ✓ Model monitoring, drift detection | Minimal — agent-level permissions only | Four-layer governance: data → model → agent → decision. Single policy framework, unified enforcement |
| End-to-End Decision Lineage | Data lineage only — stops at query | Model lineage only — cannot trace through federated data | Not available | Source-to-decision lineage across federated data, models, agents, and business outcomes |
| Bias & Fairness Monitoring | Not available | ✓ Model-level fairness metrics | Not available | Outcome-level fairness evaluation across agent mesh workflows and protected categories |
| PII Protection Across Sources | Column-level masking on federated queries | ✓ Policy-based masking and redaction | Not enforced across data sources | Auto-detection, dynamic masking, tokenisation, consent enforcement — across all federated data and agent interactions |
| Governed Agent Orchestration | Not available | Not available — monitors models, not agents | ✓ Agent orchestration and tool use | Agent mesh with governance, RAG grounding, MCP interoperability, and bias monitoring per agent and per workflow |
| Three-Level Explainability | Not available | Model-level interpretability only | Not available | Data, model, and decision-level explainability — human-readable for regulators, auditors, and business stakeholders |
| AI Sovereignty & On-Premises Deployment | ✓ On-premises options available | Primarily SaaS — limited on-premises | Cloud-native — limited on-premises support | Full platform sovereignty: on-premises, private cloud, air-gapped, hybrid — with jurisdictional data controls |
Regulators examine decisions, not dashboards. Tantor is purpose-built for industries where accountability is mandatory, not aspirational.
Explainable credit decisions. Fair lending evaluation. AML with complete lineage. Regulatory reporting on federated, governed data.
Patient data federated without centralisation. Clinical AI grounded in governed records. PHI and PII protection across every system.
AI sovereignty for critical infrastructure. Predictive ops grounded in federated SCADA and IoT data. Full jurisdictional control.
Every capability built with regulatory accountability at its core — not bolted on.
Immutable logs for every query, agent action, model inference, and decision. Exportable and regulator-friendly.
Governance policies as version-controlled code. No configuration drift. No manual enforcement gaps.
RBI, Basel, DPDP Act, GDPR, HIPAA, EU AI Act. Engineered compliance — not aspirational checkboxes.
Tantor sits above your existing stack. MCP interoperability and native connectors — no rip-and-replace.
Tantor is the governed intelligence platform that converges data federation, AI governance, and agentic AI into one trust boundary — so every AI decision is explainable, fair, and audit-ready. It is built specifically for regulated industries where accountability is non-negotiable.
Most platforms add governance as an afterthought. Tantor builds governance in from the first query — four governed layers spanning data, model, agent, and decision — and federates data without movement, so explainability and compliance are architectural, not bolted on.
Tantor is built for regulated industries — BFSI, healthcare, and utilities — where every AI decision must be explainable, traceable, and compliant with frameworks like RBI and DPDP.
Yes. Tantor supports on-premises, private cloud, and air-gapped deployment, giving you full AI sovereignty — data, models, and agents run within your perimeter, never sending sensitive data to external services.
Whether you're evaluating AI governance, deploying agentic AI in regulated workflows, or consolidating a fragmented data stack — Tantor brings it all together. One trust boundary. One policy framework.