Routing each task to the cheapest capable model delivers a 40–60% benchmarked routing cost reduction; production validation is underway.
For Investors
Own Your AI Stack.
VDF AI is the on-premises AI agent platform that lets regulated enterprises orchestrate, govern, and cost-control AI agents while keeping sensitive data inside their own infrastructure.
Pre-Seed Stage — currently raising
Live First deployment · Netmera
Stockholm, SE EU-native headquarters
$47B+ AI agents market by 2030
AI agents market projected at $47–53B by 2030 (MarketsandMarkets and industry forecasts). Detailed market sizing is shared in our investor materials.
Where We Are
Pre-Seed stage, with a product already in production.
The product is built and live in production. We are currently raising our Pre-Seed round to accelerate enterprise sales and EU market expansion — turning early deployments into a repeatable, sovereignty-first go-to-market motion. Full round details are shared with prospective investors on request.
Traction
Real outcomes, not demos.
VDF AI is already delivering measurable ROI inside enterprise environments where cost, data control, and governance all have to hold at once.
A full Networks · Agents · Chat · Data deployment runs inside the customer environment in about 30 minutes.
Early deployments span regulated and enterprise sectors where data control and audit readiness are non-negotiable.
"VDF AI delivers accurate, expert-aligned guidance to enterprise teams at scale."
First Production Deployment
Going live inside Netmera.
VDF AI’s first production deployment is an embedded agent hub inside Netmera, a leading enterprise customer-engagement platform — giving its applications a single, governed way to put AI agents to work. It is a validated path from platform to a real, revenue-generating customer.
Read the full customer story →Agents that take action
Agents go beyond chat to operate connected tools and systems on the user’s behalf.
Full observability
Every agent action is monitored, logged, and reviewable from end to end.
Grounded answers
Responses stay grounded in the organization’s own trusted knowledge.
Learns from feedback
The system steadily improves as it learns from real-world feedback.
Lasting memory
Context carries across conversations so agents stay useful over time.
Central management
Agents and prompts are managed and governed from one controlled place.
No-code agent creation
Business teams build and launch new agents without writing code.
Build and compare agents
Assign actions to agents freely, create as many as you need, and compare them side by side in a built-in playground.
Target ICP
Regulated enterprises that cannot send data to the cloud.
Our customers operate under strict data-residency, audit, and oversight requirements — the exact conditions where hosted AI fails and on-prem governance wins.
Telecom
Carriers and operators managing sensitive subscriber and network data under strict residency rules.
Finance
Banks, insurers, and fintechs bound by DORA, GDPR, and sector-specific audit requirements.
Healthcare
Providers and life-science organizations handling protected health data under HIPAA-class controls.
Government
Public-sector bodies and agencies with sovereignty mandates and procurement-grade governance needs.
Critical infrastructure
Energy, utilities, and industrial operators that cannot route core operations through a hosted cloud boundary.
Why Now
Four forces are converging on sovereign, governed AI.
Regulation, the shift to agents, rising cloud cost, and sovereignty requirements are converging on regulated enterprises — and VDF AI sits at the center of all four.
The EU AI Act is moving AI from experimentation to governed deployment
AI Act obligations are phasing in from 2025 through 2027. Regulated enterprises now need evidence of oversight, logging, policy controls, and responsible deployment before agentic AI can scale.
Agentic AI has arrived
The shift from "chat" to "agents" creates a new category: enterprises need an orchestration and governance layer to run multi-agent work safely. That layer is the product.
Cloud AI costs are becoming unpredictable
Enterprises moving from AI experiments to daily usage face rising per-seat and inference costs. VDF AI reduces dependency on oversized models by routing each task to the cheapest capable model.
Sovereignty is becoming a procurement requirement
Regulated buyers increasingly require private deployment options, data-residency controls, approved-model lists, and auditability before AI tools can enter core workflows.
Investor Materials
Request the deck and data room.
We share our pitch deck, financial model, and round details directly with prospective investors. Reach out and we will follow up promptly.