How does Anvil OS handle data privacy when using cloud LLMs?

The platform uses built-in PII cloaking and tracing to sanitize sensitive enterprise information before queries reach external cloud providers. This setup allows enterprises to leverage frontier foundation models while maintaining strict local compliance and data sovereignty.

How does Anvil OS structure and manage enterprise knowledge across different sources?

Anvil OS uses a proprietary memory layer with GraphRAG and a vector database to automatically extract information from files and binary sources. Its fusing engine joins disparate knowledge bases with an unsupervised 97% F-measure while enforcing inherited access control and scoped tokens.

Why did the founder pivot from DataBorg to building Anvil OS?

DataBorg was technologically ahead of its time, but its standalone architecture was too abstract for enterprise clients to adopt. Co-founder Fabio Chiaramonte worked inside enterprise consulting to learn corporate operational needs firsthand, turning that experience into a blueprint for Anvil OS.

How does Anvil OS compete with graph tools and hyperscalers like AWS or Microsoft?

Anvil OS automates data ingestion and entity mapping without requiring dedicated data science teams. While open-source tools and hyperscalers struggle with cross-system compliance and merging messy data sources like SharePoint, Anvil OS provides out-of-the-box rights management backed by patent-pending technology.

What does the sales cycle and onboarding look like for Anvil OS?

Early customer sales cycles run in approximately two weeks, moving from initial awareness and a demo directly to contract signing. Customers then deploy the software on-premise or host it on a dedicated virtual private server using proprietary deployment keys.

Who is the primary target buyer for Anvil OS?

Buyers range from executive decision-makers collaborating with IT departments to internal corporate AI enablement teams. These teams look for structured access controls, GDPR compliance, and collaborative multiplayer agent workflows.

Who founded Anvil OS?

Anvil OS was founded by Fabio Chiaramonte, Robert Grimm.

All companies

Our viewWritten October 2026Researched by Vela

Anvil OS

Anvil OS builds an on-premise agentic AI operating system for enterprises and mid-market companies needing complete data sovereignty.

Enterprise AI & Agent OS
Enterprises and mid-market companies
On-premise agentic AI operating system
anvil-os.io ↗

Based in: Germany; Public record
Stage: Early stage; Public record
Products: Anvil Agent OS; Public record
Customers: Enterprises, mid-market companies; Company site

Why we think it matters

Our view in three lines, before the detail.

The need
Enterprises face strict data sovereignty and compliance requirements for AI.
Organizations need to automate processes with modern AI models without exposing sensitive information. Strict compliance and privacy standards prevent direct routing of proprietary internal data into public cloud services.
The answer
Anvil OS unifies local model execution with privacy-preserving cloud integration.
The platform orchestrates multi-agent workflows on local infrastructure using vector databases, SQL, and local inference. PII cloaking enables secure interaction with frontier cloud models while maintaining complete internal data control.
The people
Enterprise consulting background in Hamburg grounds the technical approach.
The team operates from Hamburg with connections to Multiversum Consulting infrastructure. Their experience supports the delivery of GDPR-compliant architecture for mid-market and corporate deployments.

A founding team in the top quartile

Measured against 1,765 comparable repeat founders with a company, and how those founders actually turned out.

top quartile

Ahead of 76%

of 1,765 comparable repeat founders with a company

~2× the typical founder’s odds of building something that reaches scale

1,337 founders behind this team206 above Vela’s success threshold

The threshold falls inside that last band, so nobody can say exactly where. What the shape says instead is that roughly one in 10 ever gets there, and this team is past the columns that hold most of the field.

What lifts it

The category they chose
Companies in this category show up more often among the founders who reached scale.
What they built before
Their earlier companies sit in the kinds of markets that most often come before an outlier.

Data Infrastructure Engineering and Commercial Execution

How they came together, and what each brings that the company needs.

How they got here

2022 to 2025
Fabio Chiaramonte builds DataBorg, developing proprietary knowledge graph ingestion and fusing technology.
Recent
Fabio Chiaramonte and Robert Grimm partner to launch Anvil OS, aligning graph memory architecture with enterprise sales execution.

Fabio ↔ Robert

Translating enterprise compliance needs into technical architecture

Robert Grimm drives commercial operations, customer contract negotiations, and enterprise sales execution.

Fabio Chiaramonte leads technical development, proprietary graph memory layers, and product architecture.

FC
Fabio Chiaramonte
Founder · LinkedIn ↗
- Deep background in graph data infrastructure engineering and proprietary graph memory design.
- Enterprise consulting insights translating corporate artificial intelligence transformation into product design.
- Technical architecture for local inference design and model cloaking.
Cinque montiFlyactsDataBorgMultiversum GmbHStealth AI StartupAnvil OS
RG
Robert Grimm
General Manager · LinkedIn ↗
- General management and operational execution across enterprise partnerships.
- Commercial strategy and enterprise sales pipeline development.
- Enterprise contract negotiation and business growth leadership.
Anvil OS

What they build

An on-premise agentic operating system combining automated knowledge graphs, local inference, and secure cloud routing.

Anvil Agent OS
On-premise multi-agent operating system with native privacy controls
Anvil Agent OS provides a containerized enterprise desktop environment for orchestrating multi-agent workflows. The system integrates automated data ingestion across files and binary sources with local language model execution. It enforces scoped access rights and PII cloaking so organizations can safely route queries to external frontier models.

Ingestion
Automated data connection
Users connect raw files and binary sources directly through the backend without custom service overhead.
Graph fusion
Entity extraction and mapping
A proprietary fusing engine identifies entity relations to create knowledge graphs with an unsupervised 97% F-measure.
Governance
Access control and PII cloaking
Scoped tokens maintain inherited permissions across merged knowledge bases while PII tracing protects data sent to cloud models.
Orchestration
Local inference and agent execution
Autonomous agent teams run tasks locally or in private clouds while keeping sovereign data contained.

How they win customers

Enterprise buyers move from initial demonstration to deployment in approximately two weeks.

First contact
Targeted product demonstration
Executives, IT leadership, and dedicated AI enabler teams evaluate the platform directly.
Review
Direct technical evaluation
Teams resolve questions regarding infrastructure and data handling over direct correspondence.
Commit
Two-week contract cycle
Customers move from initial awareness to signed agreement in about two weeks.
Deploy
In-house and VPS installation
Anvil OS delivers keys for deployment directly on customer servers or virtual private clouds.

Momentum

Where the company is today, and the track record behind it.

Revenue over time

The chart fills in as they report

Monthly revenue, renewals and expansion will draw here once the founders share them.

Web traffic · funding

Not public yet

No public traffic or funding rounds on record yet.

Where Anvil OS stands apart

Granular access control and automated entity fusion deliver enterprise graph infrastructure without dedicated engineering.

Automated knowledge fusionOpen-source tools like Graphify and Obsidian
A proprietary memory layer extracts relations from raw files and unifies distinct knowledge sources with an unsupervised 97% f-measure.
Inherited enterprise governanceGeneral-purpose graph software
Scoped tokens preserve permissions and corporate compliance rules automatically as information compiles across workspaces.
Zero-configuration ingestionHyperscalers such as AWS and Microsoft
A patent-pending data layer connects directly to complex enterprise repositories without requiring dedicated data specialists.

Investor fit

How each fund's thesis reads the company. Vela's view is our own; any other fund's is a comparison with what that fund has backed.

Vela Partners’ view

Would we invest?

Not a fit

Our view leans toward US based founders with prior venture scale exits or research lab leadership; Anvil OS brings Germany based leadership building on premise enterprise AI infrastructure.

Anvil OS operates in enterprise AI infrastructure, delivering local LLM inference, vector databases, PII cloaking, access control, and compliance guardrails.
Fabio Chiaramonte brings established zero to one venture building and founder experience.
Our view favours US based founding teams alongside prior venture backed outcomes or enterprise adoption scale.
Our view also prioritises backgrounds in senior research lab leadership or scaled enterprise engineering and product management.

Principles met1 of 8

Where this comes from

Researched by Vela. The company chose to be listed and what appears here.

Company site · products, positioning
LinkedIn · founders and company
Crunchbase · no rounds on record
SimilarWeb · not tracked yet
Founder interview · traction and economics

Questions

Anvil OS is an on-premise agentic AI operating system designed for European SMEs and enterprises. It provides local LLM inference, autonomous agent teams, and data cloaking so organizations can utilize cloud frontier models without violating data privacy or compliance guardrails.

Questions

Why we think it matters

A founding team in the top quartile

Data Infrastructure Engineering and Commercial Execution

Fabio Chiaramonte

Robert Grimm

What they build

How they win customers

Momentum

Where Anvil OS stands apart

Investor fit

Where this comes from

Questions

What does Anvil OS actually do?−

How does Anvil OS handle data privacy when using cloud LLMs?+

How does Anvil OS structure and manage enterprise knowledge across different sources?+

Why did the founder pivot from DataBorg to building Anvil OS?+

How does Anvil OS compete with graph tools and hyperscalers like AWS or Microsoft?+

What does the sales cycle and onboarding look like for Anvil OS?+

Who is the primary target buyer for Anvil OS?+

Where is Anvil OS headquartered?+

Who founded Anvil OS?+

Why we think it matters

A founding team in the top quartile

Data Infrastructure Engineering and Commercial Execution

Fabio Chiaramonte

Robert Grimm

What they build

How they win customers

Momentum

Where Anvil OS stands apart

Investor fit

Where this comes from

Questions

What does Anvil OS actually do?−

How does Anvil OS handle data privacy when using cloud LLMs?+

How does Anvil OS structure and manage enterprise knowledge across different sources?+

Why did the founder pivot from DataBorg to building Anvil OS?+

How does Anvil OS compete with graph tools and hyperscalers like AWS or Microsoft?+

What does the sales cycle and onboarding look like for Anvil OS?+

Who is the primary target buyer for Anvil OS?+

Where is Anvil OS headquartered?+

Who founded Anvil OS?+