Routing each task to the cheapest capable model delivers a 40–60% benchmarked routing cost reduction; production validation is underway.
For Investors
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.
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
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
VDF AI is already delivering measurable ROI inside enterprise environments where cost, data control, and governance all have to hold at once.
Routing each task to the cheapest capable model delivers a 40–60% benchmarked routing cost reduction; production validation is underway.
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
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 go beyond chat to operate connected tools and systems on the user’s behalf.
Every agent action is monitored, logged, and reviewable from end to end.
Responses stay grounded in the organization’s own trusted knowledge.
The system steadily improves as it learns from real-world feedback.
Context carries across conversations so agents stay useful over time.
Agents and prompts are managed and governed from one controlled place.
Business teams build and launch new agents without writing code.
Assign actions to agents freely, create as many as you need, and compare them side by side in a built-in playground.
Target ICP
Our customers operate under strict data-residency, audit, and oversight requirements — the exact conditions where hosted AI fails and on-prem governance wins.
Carriers and operators managing sensitive subscriber and network data under strict residency rules.
Banks, insurers, and fintechs bound by DORA, GDPR, and sector-specific audit requirements.
Providers and life-science organizations handling protected health data under HIPAA-class controls.
Public-sector bodies and agencies with sovereignty mandates and procurement-grade governance needs.
Energy, utilities, and industrial operators that cannot route core operations through a hosted cloud boundary.
Why Now
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.
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.
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.
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.
Regulated buyers increasingly require private deployment options, data-residency controls, approved-model lists, and auditability before AI tools can enter core workflows.
Investor Materials
We share our pitch deck, financial model, and round details directly with prospective investors. Reach out and we will follow up promptly.