Data Centric | AI Native

AI Governance.Built IntoArchitecture.

AI is entering your business faster than your controls. At NeuralAxis, we help you make AI safe, compliant, auditable, and useful — before risk becomes theatre.

The NeuralAxis FrameworkInteractive Model

NeuralAxis Governable AI Operating Model

Governance UmbrellaTRUST, RISK & COMPLIANCE

Identify use cases, classify risks, and map regulatory requirements before engineering.

Use Case IntakeCentralized registry for proposed AI systems and business objectives.

Risk ClassificationTiering systems (low, medium, high) based on regulations like EU AI Act.

Policy MappingConnecting organizational rules and frameworks to system boundaries.

Data & Privacy ReviewAssessing consent, data retention, minimization, and privacy impact.

Phase 1

Assess Phase Details

Identify use cases, classify risks, and map regulatory requirements before engineering.

Use Case IntakeCentralized registry for proposed AI systems and business objectives.

Risk ClassificationTiering systems (low, medium, high) based on regulations like EU AI Act.

Policy MappingConnecting organizational rules and frameworks to system boundaries.

Data & Privacy ReviewAssessing consent, data retention, minimization, and privacy impact.

Continuous Governance Foundation

Evidence•Traceability•Auditability

Decisions, builds, approvals, and guardrail alerts are logged continuously into an immutable, audit-ready ledger. Audit readiness is the foundation, not a final phase.

Built For Trust & Compliance

DPDP Act

EU AI Act

NIST AI RMF

Human Oversight

Agent Traceability

AI Systems, LLMs, Agents, RAGs & More

All governed. All observable. All auditable.

The Gap

AI adoption is accelerating. Governance is still catching up.

Most teams are moving from pilots to production before they have inventory, controls, approvals, traceability, and evidence. NeuralAxis closes that gap by making governance part of the architecture itself.

Shadow AI inventory

Models, copilots, agents, prompts, datasets, and workflows spread across teams without a trusted system of record.

Controls after launch

Risk reviews, approvals, red-team checks, and human oversight arrive late, creating compliance debt and operational risk.

Evidence scramble

When audits arrive, teams manually reconstruct who approved what, which controls existed, and how the AI behaved.

Accelerators

Move faster with DPDP governance accelerators.

NeuralAxis accelerators help teams assess, generate, track, remediate, evidence, and report DPDP governance work from one operating layer.

Readiness Assessment

Score governance, consent, retention, vendor management, data subject rights, incident response, children data, and AI processing safeguards.

Policy Generator

Create editable privacy policies, consent policies, retention policies, incident SOPs, vendor DPAs, and employee privacy notices.

Data Inventory Register

Track systems, business owners, data types, sensitivity, vendors, regions, purposes, and retention periods.

Remediation Tracker

Convert gaps into assigned work with risk level, owner, due date, evidence upload, validation, and closure approval.

Evidence Repository

Centralize policies, screenshots, audit logs, consent records, training evidence, vendor contracts, and downloadable audit bundles.

Dashboard & Reporting

Show overall score, domain scores, risk heatmap, open risks, critical gaps, evidence completeness, and incident trends.

DPDP Governance

Personal-data governance for AI systems, agents, and RAG workflows.

NeuralAxis helps teams connect India DPDP obligations to real AI controls: data inventory, consent, purpose limitation, access control, retention, breach response, and audit evidence.

DPDP-ready AI governance

Map personal-data risk from design to deployment, then keep the evidence trail alive as AI systems change. No spreadsheet archaeology when auditors arrive.

Data fiduciaryConsentPurposeRetentionBreach response

Personal data inventory

Track where personal data enters AI systems, which datasets or prompts use it, who owns it, and where it flows.

Consent & purpose mapping

Connect use cases to consent, notice, lawful purpose, data minimization, and approved processing boundaries.

Controls for AI usage

Apply guardrails for masking, access, retention, human review, vendor use, model outputs, and agent actions.

Evidence & audit trail

Capture approvals, risk reviews, control checks, incidents, remediation, and policy exceptions in one traceable record.

Governance Stack

Inventory, controls, and evidence connected end-to-end.

Govern AI systems, LLM apps, agents, RAG pipelines, and business workflows from design to audit readiness.

Architecture-native governance

Policies and controls are embedded into the way AI systems are assessed, built, deployed, observed, controlled, and improved.

AI inventory

Maintain a living registry of models, agents, datasets, owners, approvals, and business use cases.

Control mapping

Connect obligations from DPDP, EU AI Act, NIST AI RMF, and internal policies to real controls.

Runtime observation

Track behavior, risk signals, policy violations, performance drift, and escalation patterns.

Audit evidence

Capture decisions, reviews, logs, incidents, approvals, and remediation history automatically.

Stop Building
PoCs. Start Building
Legacy.

Your team has the tools. What they need is the blueprint. We turn your engineers into architects and your organization into an AI-native powerhouse.

Custom organizational roadmaps
Production-ready execution plans
Team-wide strategic alignment
Domain-specific curriculum

Current Status

Accepting new enterprise partners for Q1 2026

Let's architect your future

Tell us about your goals. We'll build the roadmap.