See Inside Every AI Decision,
in Real Time.
XAI consensus, drift detection, fairness audits, model governance, and compliance automation — six modular engines deployed in your environment, delivering complete AI observability without compromising data sovereignty.
The Problem Space
Three Gaps That Block Enterprise AI at Scale
Most AI teams discover these gaps only after a regulator flags them, a model fails silently, or a deployment is blocked by legal.
Silent Decay
Your accuracy metrics look fine. But your model's internal logic has shifted — driven by population drift, feature distribution changes, or upstream data quality issues. By the time P&L impact is visible, the decay is months old and the regulatory exposure is already baked in.
The Explainability Wall
Black-box model outputs cannot explain themselves to regulators, legal teams, or affected customers. In credit, insurance, and healthcare, a single unexplained adverse decision can trigger an investigation. Deploying without XAI consensus means one customer complaint away from a governance crisis.
The Compliance Burden
RBI FREE-AI, EU AI Act, IRDAI, Basel IV, and DPDP Act each demand separate documentation, audit trails, and explainability evidence — in different formats, on different timelines. Without a unified governance layer, every audit cycle requires weeks of manual evidence assembly across siloed systems.
Live Product Tour
Walk through every module of the Glass Box Suite — from AI Portfolio to Population Stability
AI Project Portfolio
A unified command center for your enterprise AI investments. Track health status, prediction volumes, and active alerts across every department — from Credit Risk to Healthcare Diagnosis.
Key Features
- 6 active AI projects across all departments
- Real-time health & alert status indicators
- Requires-attention flagging with severity tiers
- One-click drill-down to any model dashboard
Core Engines
Every Module. Explained.
Six specialized engines working in concert to deliver complete AI observability across every model in your enterprise.
XAI Consensus Engine
Multi-algorithm explanation consistency
The only system that runs SHAP, LIME, and proprietary algorithms simultaneously to validate explanation consistency. When algorithms disagree, Claris surfaces the conflict — preventing misleading explanations from reaching regulators.
- SHAP & LIME consensus validation
- Natural language explanation generation
- Adverse action reason codes
- Counterfactual simulator
Predictive Performance Suite
48-hour early warning system
Daily PSI and MSS calculation at the segment level gives you 48-72 hours of early warning before accuracy drops impact your P&L. Automated alerts route to the right team member before customers notice anything.
- Population Stability Index (PSI)
- Model Stability Score (MSS)
- Segment-level drift detection
- Automated P&L impact projection
Fairness & Bias Module
Continuous demographic parity testing
24/7 automated parity testing across all demographic segments. Detects disparate impact before it becomes a regulatory violation. Generates continuous audit trails that satisfy EU AI Act, RBI FREE-AI, and IRDAI requirements.
- Disparate impact ratio monitoring
- Demographic parity tracking
- Intersectional fairness analysis
- Automated remediation suggestions
Natural Language Governance
Plain-English model interrogation for every team
Any team member — data scientist, risk officer, compliance lead, or business user — can query any model in plain English. Claris translates the question into governance metrics and returns a structured, auditable answer without writing a single line of code.
- Plain-English model interrogation
- Persona-aware responses
- Audit-ready conversation logs
- Direct links to SHAP / PSI evidence
LLM & Agent Governance
Observability for generative AI and agentic systems
Hallucination detection, prompt injection guards, RAG quality scoring, and full agent trajectory tracing — running inside your VPC alongside your LLM serving infrastructure.
- Hallucination Risk Score per inference
- Prompt injection detection
- RAG faithfulness scoring
- Immutable agent trajectory logs
Architecture
Two Planes, Zero Compromise
Governance runs inside your VPC. Analytics surface in our Control Plane. Data never crosses the boundary.
Data Plane
Runs inside your private VPC
- Containerised agent (Docker / Kubernetes)
- Processes all inference data locally
- Only encrypted metadata transmitted
- Full audit logs remain in your storage
Control Plane
Claris managed cloud
- Real-time analytics engine
- Multi-persona command center
- Alert routing & escalation
- Compliance report generation
Why Trust Claris
Built by Practitioners, for Regulated Industries
Cornell CAIO Certified
Founding leadership carries Cornell University's Chief AI Officer certification — the institutional credential enterprises 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 core banking and risk systems programmes.
Framework-Agnostic by Design
Scikit-learn, XGBoost, TensorFlow, PyTorch, LightGBM, legacy vendor models — the Glass Box Suite wraps your existing stack without SDK changes or model retraining.
From the Knowledge Center
Technical articles on the science behind the Glass Box Suite
See the Glass Box Suite in Action
Three ways to engage — live demo, trust audit, or architecture consultation. Our team responds within one business day.
All demos are live walkthroughs — not recordings. Tailored to your model stack and regulatory context.