INVESTORS - Pravio

Use of GenAI surged across enterprises, yet ROI requires tight integration with existing systems

Gartner forecasts >40% cancellations without governance. Enterprises need trust before scale

Enterprise AI is maturing. Industry converges on NIM-style microservices with built-in governance

Traction & Signals

The market is shifting and in that transformation lies a real opening.

Major enterprise-software players like SAP are treating AI as a core growth engine. Their cloud and AI-business reporting shows all the signs of urgency and scale

SAP News Center

Infrastructure and AI-platform leaders like NVIDIA are steadily turning generative and retrieval-augmented AI (RAG) from lab experiments into full-blown production pipelines for large organisations

Bain

Meanwhile, the broader enterprise AI market is simply exploding—with one estimate placing its value around US $30.5 billion in 2024, and projecting growth to US $426 billion by 2033.

IMARC GROUP

What this means for specialized players is that a large number of companies are actively searching for trusted, focused vendors who can turn this AI momentum into real business results.

AI Magazine

Pravio is built for that next step: Autonomous Enterprise Intelligence (AEI™), a new architecture where context and user roles become the workflow. A modular, scalable, secure platform with low friction, low integration cost, and global potential.

Pravio on LinkedIn

Enterprise AI market growth validates AI's importance and flow-through to enterprise systems

Our Positioning

Regulated Sectors
Deep expertise in compliance-first environments

Trusted Execution
Safe, effective deployment in existing systems

The sweet spot:

Regulated-industry, enterprise-scale, workflow-centered AI deployments

There’s a growing “sweet spot” for companies like Pravio: regulated-industry, enterprise-scale, workflow-centered AI deployments. With the broader market validating AI’s importance and flow-through to enterprise systems, we are positioned to capture what the large platforms leave unaddressed: trusted execution.

What this means
for Pravio

Because the big platforms are readying the infrastructure and setting expectations, the bottleneck isn’t just “can we run AI?” – it’s “can we deploy it safely, effectively, in regulated environments, with existing systems?” That’s our space.

As SAP’s push for embedded, enterprise-grade AI grows, clients will increasingly need partners who understand ERP / HR / compliance ecosystems – not just raw models.

With infrastructure players like NVIDIA making secure, scalable AI stacks more accessible, the market is now open for vendors who bring domain focus, onboarding, governance, and integration at scale.

Business Model

Simple, scalable, and familiar to enterprise buyers

Pravio follows a modular licensed model, similar to how major enterprise platforms are deployed. Each client begins with an implementation project that configures the core Pravio platform to their environment. Once live, the client licenses the standard modules they use — and can freely expand or build custom modules as their AI landscape grows.

Phase 1

Implementation

Project-Based

Setup of the Pravio Integration Layer (PIIL) and initial AI modules (Governed RAG, Compliance Pack, Agent Pack Lite).

Investment: $1.5M – $5M

Duration: 6 – 12 months

Outcome: Configured system ready for ongoing use and licensing

Scope: Full platform configuration

Environment-specific setup

Initial AI modules deployment

Phase 2

License

Recurring Revenue

Core Platform License with optional add-on modules. Enterprises license the standard modules they use.

Investment: $50K – $500K / year

Duration: Annual renewal

Outcome: Scalable module-based licensing

Core Platform: $50K–$500K/year

Add-On Modules: $25K–$100K each

Support & Governance included

Phase 3

Expansion

Self-Service

Core Platform License with optional add-on modules. Enterprises license the standard modules they use.

Investment: Usage-based pricing

Duration: Continuous

Outcome: Full platform autonomy

Self-managed module library

Usage-based LQM pricing

Optional consultancy contracts

Client-Developed Modules:
Fully supported through the open API framework. Enterprises can build and deploy custom modules tailored to their specific workflows, all backed by Pravio’s governance and integration layer.

Partner Implementation

Select 1–2 anchor clients (regulated-industry) to run at-cost implementation + co-development with a key partner.
Retain IP: Pravio owns all deliverables, modules, connectors and governance framework.
Retain IP: Pravio owns all deliverables, modules, connectors and governance framework.
Outcome: Fully tested platform in live environment + reusable assets.

Productization

Launch modules built from the partner-implementations: “Core Platform License”, “Governed Agent Pack”, “Compliance Workflow Pack”.
Offer standard implementation services (paid) for new clients, using the assets developed in Phase 1.
Begin recurring-license model for modules and support.
Outcome: Shift from purely project-based revenue to mixed project + subscription licensing.

Enterprise Scale & GenAI Platform

Transition to full enterprise-scale provider: self-service module marketplace, usage-based pricing for advanced features (GenAI, LQMs, intelligent workflows).
Expand across 3+ regulated industry verticals (e.g., financial services, healthcare, legal/compliance).
Partner ecosystem: technology, channel, and integration allies to accelerate growth.
Outcome: Pravio becomes a platform-level provider of enterprise AI solutions—scalable, license-driven, built for regulated environments.

NVIDIA NIM & Enterprise RAG

Microservices architecture for governed AI deployment

Gartner Agentic AI Risk

Forecast of >40% project cancellations without governance

Deloitte Enterprise GenAI

Compliance and risk management in AI systems

SandboxAQ LQMs

Large Quantitative Models for domain-specific applications

Differentiation

PRIME turns hype into audited workflows

Pragmatism

Compliance-first, governed agents, on-prem options

Scalability

Clear delivery → productization path

Timing

Market wants trustworthy AI; NIM-style patterns de-risk scale

Download Investors Deck Book a Call