Claris now supports the RBI FREE-AI Framework — full automated compliance mappingLearn More
Hybrid-BYOC Sovereign Deployment

Your Intelligence.
Your Perimeter.
Zero Compromise.

Claris's Hybrid-BYOC architecture deploys the full governance engine — XAI consensus, drift detection, fairness audits, and immutable audit trails — directly inside your private VPC. Your proprietary models, inference payloads, and customer data never leave your secure environment. Not even as metadata.

The Problem Space

The Three Non-Negotiables of Enterprise AI Scaling

The Regulatory Wall

Fragmented global laws — RBI FREE-AI, EU AI Act, IRDAI guidelines, DPDP Act 2023, Basel IV model validation — create compliance debt that compounds faster than engineering teams can service. Each regulation demands separate documentation, separate audit trails, and separate explainability evidence.

The Transparency Gap

Black-box numeric models cannot explain their decisions to regulators, legal teams, or affected customers. This blocks deployment in credit, healthcare, and insurance — sectors where explainability is a legal requirement, not a nice-to-have. A single unexplained adverse action can trigger regulatory investigation.

The Sovereignty Leak

Every SaaS AI governance tool requires sending inference logs, model outputs, or feature vectors to a third-party cloud. In BFSI, Healthcare, and Government sectors, this is not a configuration choice — it is a regulatory violation. Data sovereignty is non-negotiable, yet most vendor architectures make it impossible.

The Solution

High-Precision Observability, Deployed Internally

Three architectural layers that close the Regulatory Wall, the Transparency Gap, and the Sovereignty Leak — simultaneously.

  1. 01

    VPC-Locked Deployment

    Claris's Data Plane Agent containerises within your AWS, Azure, or GCP private VPC via Docker or Kubernetes. No model weights, no inference payloads, no PII ever traverse the network boundary. The agent installs in under one week and requires no changes to your existing model serving infrastructure.

  2. 02

    In-Situ Model Monitoring

    XAI consensus (SHAP + LIME multi-algorithm), PSI/MSS drift detection, decile-level fairness audits, and Logic Fingerprinting run entirely within your perimeter — at up to 10 million inferences per hour with sub-50ms overhead. Every decision is cryptographically stamped to the Immutable Ledger before the response is returned.

  3. 03

    Encrypted Logic Feed

    Only structural metadata — never content or customer data — flows to the Claris Control Plane via a TLS 1.3 encrypted channel. The analytics, alert routing, regulatory reports, and compliance exports are generated entirely from these structural signals. Your data never leaves. Your visibility never stops.

Natural Language Governance

Every Persona. One Interface.

Every Claris dashboard speaks in plain English. Any team member can interrogate any model — no code, no SQL, no specialist required.

Risk Officer
"What's the PSI trend for our top 5 models this month?"

Receives a ranked table of drift signals with 48-hour early-warning status and recommended actions — in under 2 seconds.

Compliance Lead
"Are we FREE-AI compliant? Show me the gaps."

Gets a structured pillar-by-pillar breakdown: compliant items, open gaps, and a one-click evidence export for the next RBI inspection.

Business User
"Why was this loan declined and what would reverse it?"

Receives a plain-English explanation of the top decision factors plus a counterfactual — the exact changes that would flip the outcome.

Industry Deployment

Built for the Sectors That Cannot Afford to Get It Wrong

BFSI

Banking, Financial Services & Insurance

Credit scoring and fraud detection at scale, running on Scikit-learn, XGBoost, TensorFlow, and legacy vendor models — all monitored through a single governance layer.

  • Explainable consensus for RBI FREE-AI compliance
  • PSI/MSS drift detection mapping to Basel IV validation requirements
  • Automated adverse action notices satisfying DPDP Act 2023
  • Proxy Bias shielding for protected attributes (caste, religion)
  • One-click export to IRDAI underwriting audit templates

Public Sector & Healthcare

Government, Defence & Clinical Systems

Air-gapped and on-premise deployment options for classified environments, clinical decision support systems, and government AI workloads requiring full data residency.

  • Air-gapped deployment for classified government environments
  • Immutable audit trails satisfying CAG and Ministry of Finance requirements
  • CDSS explainability for NABH/CDSCO clinical AI guidelines
  • SHAP values translated into clinician-readable decision summaries
  • Compatible with on-premise Kubernetes clusters, no cloud dependency

Technical Specifications

Enterprise Performance Matrix

CapabilityTechnical SpecificationEnterprise Value
Scalability10M+ inferences/hour, sub-50ms governance overhead, horizontal auto-scaling via KubernetesZero throughput penalty for full governance instrumentation — performance is not a trade-off
SecurityTLS 1.3 encrypted metadata channel, zero PII egress, SOC 2 Type II, GDPR-by-design, RBAC + MFAPasses CIO/CISO security review without architectural change or network exception requests
InteroperabilityScikit-learn, XGBoost, TensorFlow, PyTorch, LightGBM, vendor model APIs, legacy PMML modelsNo framework lock-in, no SDK migration, no model retraining — governance wraps your existing stack
ComplianceRBI FREE-AI, EU AI Act, IRDAI, NIST AI RMF, Basel IV, DPDP Act 2023 — policy engine updates automaticallySingle governance layer for all regulatory obligations — one audit, not eight separate reviews

Leadership Credentials

The Architecture of Experience

Cornell CAIO Certified

Founding leadership carries Cornell University's Chief AI Officer certification — the institutional credential that enterprise legal and procurement teams require before signing AI governance contracts.

25-Year BFSI Track Record

The founding team brings 25+ years of enterprise technology experience across Indian and global banking institutions — including direct involvement in core banking migrations, risk systems, and regulatory technology programmes.

Purpose-Built for Regulation

Claris was designed from first principles for regulated industries — not adapted from a developer-tooling product. Every architectural decision reflects the compliance constraints of BFSI, Healthcare, and Government from day one.

From the Knowledge Center

Regulatory intelligence and industry analysis for enterprise teams

Enterprise Engagement

Secure Your AI Future Today

Three ways to engage — from architecture review to compliance documentation. Our enterprise team responds within one business day.

All engagements begin with a confidential NDA. No vendor lock-in. No obligation beyond the first call.