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AI-Native Governance Platform

Sentinel GRC

Zero-Knowledge compliance orchestration for global frameworks, audit workflows, and AI-driven evidence operations.

Investor Pitch Deck

Why now

The GRC stack is growing, but execution is still broken

$64.6B
2025 market size

The global GRC platform market is projected at $64.6B in 2025 and $151.5B by 2034, showing large long-term expansion.

13.2%
Projected CAGR

A double-digit CAGR signals budget movement toward automation, control mapping, and continuous compliance systems.

+ $44.2B
2025โ€“2029 growth

Technavio expects the category to add about $44.2B between 2025 and 2029 as AI reshapes GRC operating models.

Problem

Compliance teams still operate through spreadsheets, screenshots, and fragmented auditor coordination

Current pain

  • Manual evidence chases slow every audit cycle.
  • Framework overlap creates duplicate control work.
  • Auditor communication lives outside the system of record.
  • Data-hosting concerns block regulated buyers from SaaS adoption.
  • Legacy tools manage checklists, not orchestration.

Market shift

  • Buyers want one platform across global and local frameworks.
  • Teams expect real-time dashboards instead of periodic snapshots.
  • AI is moving from copilots to workflow execution in GRC.
  • Enterprises increasingly demand data residency and private deployment flexibility.
  • Audit readiness is becoming a continuous operating capability.
Solution

Sentinel turns GRC into a live operating system

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AI-native from day one

Sentinel is positioned as an AI-native company, with the product and development motion shaped by AI-agent driven building from the first line of code.

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Global framework ingestion

Built to ingest any framework: existing standards, hybrid overlays, or entirely custom internal controls.

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Zero-Knowledge GRC

Clients can host their own database and keep evidence files on their own infrastructure while Sentinel references links and workflows.

Core differentiation

What makes Sentinel structurally different

Agnostic / Custom controls

Sentinel is not locked to a predefined library. It can ingest existing frameworks, mixed control sets, and company-defined control architectures.

Universal Mapping Engine

Internal custom controls can be mapped across multiple global and local standards, reducing duplicate testing and making reuse visible.

Audit Orchestration

The platform focuses on the process layer between control owners and auditors, turning audit execution into a managed workflow instead of email coordination.

Real-time engagement visibility

The public product messaging highlights unified dashboards and real-time visibility from planning to certification across engagements.

Workflow engine

Sentinel orchestrates the end-to-end audit process

1

Plan

Define engagement scope, framework set, owners, and timelines.

2

Map

Align custom controls against multiple standards through one mapping layer.

3

Collect

Request, store, and validate evidence links with role-based accountability.

4

Review

Create an auditable trail between control, evidence, comments, and auditor response.

5

Certify

Track readiness, progress, and closure from planning through certification.

Product surface

Key product capabilities investors should notice

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Dashboards

Live engagement visibility, progress tracking, and audit readiness monitoring.

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Framework ingestion

Support for global, local, hybrid, and customer-specific control sets.

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Cross-framework mapping

One internal control library can serve multiple standards and audit programs.

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Owner-auditor workflow

A process-centric layer coordinates requests, reviews, comments, and evidence iteration.

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Private deployment posture

Designed for clients that need self-hosted databases and evidence retained on their own servers.

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Engagement traceability

Each engagement can be tracked from planning to certification in a single operating environment.

Roadmap

Upcoming features expand Sentinel from orchestration to autonomous compliance execution

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Reports

Executive and audit-facing reporting to convert live compliance data into board, management, and assessment outputs.

Near-term product expansion

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Agentic AI evidence collection

Near-future development focuses on automatically gathering evidence, following policy logic, and routing proof artifacts with less human chasing.

High-leverage automation layer

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AI-assisted control intelligence

A natural extension of the mapping engine: recommend related controls, detect overlap, and highlight audit readiness gaps earlier.

Platform multiplier

Why customers buy

Sentinel aligns with high-friction enterprise buying requirements

Framework flexibility96%
Data control / hosting trust92%
Audit workflow visibility90%
AI automation upside94%

Enterprise fit thesis

  • Regulated and global businesses need flexibility that rigid framework-first tools struggle to provide.
  • Self-hosted data architecture can shorten trust conversations with privacy-sensitive customers.
  • Audit orchestration creates sticky workflow value beyond simple evidence repositories.
  • Agentic AI can compound value by shrinking recurring audit effort over time.
Financial model

Illustrative 3-year SaaS projections

Base-case investor model assumes Sentinel monetizes through platform subscriptions, implementation, and premium AI automation modules, with enterprise expansion driven by multi-framework deployments and audit workflow stickiness.

FY2026 ARR
$0.6M
10 customers โ€ข $60k ACV
FY2027 ARR
$2.0M
25 customers โ€ข $80k ACV
FY2028 ARR
$5.4M
54 customers โ€ข $100k ACV
Gross margin
82%
Scaled SaaS target profile
FY2026 revenue$0.75M
FY2027 revenue$2.40M
FY2028 revenue$5.90M

Model assumptions

  • Land with audit orchestration and framework mapping, then expand into reporting and AI evidence automation.
  • ACV rises as customers add more frameworks, business units, and private deployment requirements.
  • Services revenue supports onboarding early, then mix shifts toward higher-margin recurring software revenue.
  • AI-native development can compress build costs versus traditional enterprise software teams.
Competition

Competitor landscape: where Sentinel can win

Vanta

Strong in trust management and fast audit readiness for cloud-native companies; now valued at about $4B in 2025 with 12,000+ customers.

Drata

High-growth automation player with estimated $95M ARR in 2024 and 7,000 customers, focused on compliance automation and monitoring.

AuditBoard / Optro

Well-known enterprise audit and controls brand, often strongest with audit teams and larger control environments.

Hyperproof / MetricStream

Hyperproof is recognized for multi-framework control workflows, while MetricStream represents heavyweight enterprise GRC breadth.

Sentinel edge

  • Zero-knowledge architecture addresses customers unwilling to centralize evidence in a vendor-controlled repository.
  • Custom control ingestion and universal mapping are attractive for enterprises with hybrid local-global obligations.
  • Audit orchestration emphasizes the relationship workflow between control owners and auditors, not just checklist completion.
  • Agentic AI evidence collection creates a future wedge beyond basic monitoring automation.

Positioning statement

Vanta and Drata are excellent benchmarks for speed and trust automation, while Hyperproof and AuditBoard show enterprise demand for deeper workflows. Sentinel should position itself as the private, globally adaptable, AI-native orchestration layer for teams that need more control flexibility than entry-level automation platforms provide.

Narrative

The company story investors can underwrite

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AI-built velocity

Founder-led development with AI agents suggests faster iteration, lower initial build friction, and a product culture aligned with automation.

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Category convergence

Sentinel sits at the intersection of GRC software growth, audit digitization, and AI workflow execution.

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Expandable product spine

Mapping, orchestration, evidence, reporting, and autonomous collection create a multi-module roadmap inside one platform.

Investment thesis

Sentinel can become the operating layer for modern audits

A fast-growing GRC market, AI-native product DNA, global framework flexibility, and zero-knowledge deployment posture position Sentinel to win where legacy compliance tools are too rigid or too exposed.

Global
Framework-ready
Private
Data posture
Agentic
Automation roadmap
Process
Audit orchestration moat
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Thank You

Sentinel GRC is designed to make compliance orchestration intelligent, private, and globally adaptable.

GRCfy Sentinel โ€ข Investor Conversation