U.S. Patent No. 12,293,359

The Window Is Open

AI has moved from trying tools to running on them. Most people and businesses already have AI chat. What they lack is AI that works across their models, tools, data and sites — privately, and without a specialist team to set it up and run it.

76% / 14%

U.S. small businesses using AI / fully integrated

AI assistants per U.S. AI user

81%

Large enterprises using 3+ model families

Explore

01 — The Moment

Five Shifts in
What Customers Need

Each is measurable today. Together they point to the same need: AI that is integrated, model-flexible, private and managed.

Shift 01

From Chat to Integrated Work

Access to an AI chat window is not the same as AI that runs part of the business. Three in four U.S. small businesses use AI; about one in seven has it fully integrated into how they work. The next step is agents working inside the CRM, inbox and calendar, with the context they need.

76% use AI · 14% fully integrated · Goldman Sachs, Feb 2026

Shift 02

Subscription and Context Sprawl

The average U.S. AI user now uses three general AI assistants, up from 2.2 a year earlier, and 55% pay for at least one AI product. Each keeps its own chats, projects and memory. Connectors to files, CRM and messaging add more subscriptions, more places where data lives and more context to re-explain.

3 assistants per user · Menlo Ventures, Jul 2026

Shift 03

Open and Frontier Models, Blended

81% of large enterprises use three or more AI model families. Teams want frontier models for the hardest problems and open models for cost, control and privacy — without switching platforms every time they switch models.

81% use 3+ model families · a16z, Jan 2026

Shift 04

Private Compute, Without the DIY

64% of privacy and security professionals worry about sharing sensitive data through generative AI. Running it in-house is hard: 52% of IT decision makers say they need more IT training to do it and 48% need new hires. Local, private and hybrid compute is in demand — the setup and upkeep burden is not.

64% privacy concern · Cisco, Apr 2025 · 52% skills gap · Nutanix, Feb 2025

Shift 05

Capacity Near Users

Inference — every query and every agent step — is now the recurring cost of AI. The IEA projects data-center electricity use more than doubling between 2024 and 2030, and new large facilities take years to build. Capacity close to the people and sites that use it becomes part of the answer.

415 → ≈945 TWh · IEA, Energy and AI, Apr 2025

02 — The Gap

Others Sell a Piece.
Customers Need the Whole Job.

Strong options exist for every individual piece. What most customers lack is the combination — and someone to run it for them.

Single-Lab AI Apps

One Lab, One Silo

Capable models, but chats, projects and memory stay inside each provider.

Switching models means switching platforms
The same context re-explained in every tool
A separate subscription for each lab and tool
Files, CRM and messaging behind more connectors

DIY & Infrastructure

Self-Hosting, Cloud and GPU Marketplaces

Powerful building blocks that leave integration, security and operations to the customer.

Hardware, models, security and upkeep are on you
Specialist skills most teams don’t have
Compute sold apart from the work it supports
Billing and support spread across vendors

RevoFi

One Intelligent Platform

AI, compute and connectivity connected for the customer, on one account and one bill.

Frontier, open and RevoFi-hosted models in one workspace
Memory, files and projects stay with the customer
12 specialist agents working one plan
Private options: isolated environments, owned GPUs, on-site devices

Demand Is Ahead of Delivery

Share of each surveyed group (%) — Goldman Sachs, Feb 2026 · Kaseya, Apr 2026

What Customers Ask For

Share of each surveyed group (%); each bar is a separate survey

03 — The RevoFi Answer

Use It, Build on It,
or Own the Infrastructure

One platform, three ways in. Customers use Raven without buying hardware; builders work on the same services; owners and partners bring the infrastructure on-site and share in what it earns.

💬

Use — Raven

Every model, agent and tool in one workspace, with memory, files and projects that stay with the customer. Six Raven tiers from $0 to $499 a month, with AI usage metered on the same bill.

No device required

🛠️

Build — Developers

The Developer tier gives builders API keys, projects and code agents in an isolated environment. The Developer Portal (APIs, SDK, CLI, MCP, hosted execution) and Neural Code are being built on the same services.

Same services, open to builders

📡

Own — Devices and Clusters

Link ($1,000) and Link Pro ($1,350, with 5G) bring WiFi 6 mesh networking and on-device AI to customer sites. Each cluster is 1,000 devices plus one full AI server with 4× NVIDIA H200 NVL. Owners and partners share eligible network earnings — never a share of the device price.

Optional on-site extension

Connected, Not Assembled

The advantage is the combination: model choice, persistent knowledge, coordinated agents, connected services and private compute on one account and one bill in dollars. Workloads run where they fit — frontier models for the hardest questions, open models on dedicated GPUs for private work, on-site devices for network services and latency-sensitive analytics.

Mainstream customers get it turnkey, directly or through the IT partners they already trust. Hands-on builders get open access to the same services. Neither has to assemble the stack themselves, and switching models never means rebuilding what they have built.

04 — Who It’s For

Every Segment Already
Exists at Scale

These are counts of potential customers, not revenue estimates. Segments overlap, and every one is served on the same platform.

Business Teams

2.25M

U.S. firms with 5–99 employees (Census SUSB, 2022). Raven Business and Enterprise, with devices for their sites.

Connected Sites

1.75M

U.S. establishments in restaurants, hospitality, convenience and grocery, health care and recreation (Census SUSB, 2022). Link devices and site services.

Individuals Paying for AI

≈92M

≈260M U.S. adults × 64% using AI × 55% paying (Menlo Ventures, 2026). One assistant, with memory, across every model.

Developers

180M+

Developers on GitHub worldwide (GitHub Octoverse, Oct 2025). The Developer tier and the Developer Portal.

05 — Why Now

The Timing Advantage

Customers have adopted AI. The next decision is where their intelligence lives, who runs it and who shares in it.

🏢

Businesses Want Help Running AI

Small businesses have tried AI and want it doing real work: 73% of those surveyed want training and support to get there (Goldman Sachs, Feb 2026). A managed workspace with agents built in meets them where they are.

🤝

IT Partners See the Demand

48% of MSPs say AI is their clients’ top need, yet only 13% earn meaningful revenue from it (Kaseya, Apr 2026). Partners need a platform they can deliver and support, with a recurring share of eligible net earnings.

🧠

Models Keep Multiplying

New frontier and open-weight models arrive constantly. Customers whose memory and context live in one workspace can adopt each new model without starting over.

🔒

Ownership Is Back on the Table

Interest in running AI on hardware you control is rising: Apple said in April 2026 that Mac mini and Mac Studio demand for AI and agentic tools arrived faster than it predicted. RevoFi offers owned and on-site compute without the setup burden — through Link devices and clusters, and through RAIN on owners’ own hardware as it launches.

06 — Built Since 2021

Built, Not Promised

Each year compounds the last: demand, devices, compute, platform, customers.

2021

First device orders
& patent priority filed

2,411

Device orders
2021–2023

Granted

U.S. Patent 12,293,359
(May 2025)

Apr 2026

Delaware C-corp &
Intelligent Cloud relaunch

Mid-2026

Raven Business in
dedicated environments

Sep 2026

Billing, cellular &
Link gateway release

Raven
tiers

Specialist
AI agents

Hybrid

Edge devices plus
central GPU servers

What Comes Next

The roadmap extends the same account, identity and billing: the Developer Portal and Neural Code for builders, RAIN for owners who want to contribute their own hardware, and network data intelligence for aggregated insight from the network. Each builds on foundations already in place, so customers never have to change platforms to use them.