Seed Stage · Operating System for your AI

The operating
system for
AI execution.

Vodou is a local-first AI operating system that learns how you work and gets better at it every day. One platform that remembers your context, orchestrates your tools, and runs multiple models in parallel — all on your machine.

Stage
Pre-Seed
Current Phase
Alpha Testing
Divisions
OS + Enterprise
Architecture
macOS · Local-first
▸ Windows version coming soon
01 / The Problem

AI today is powerful, but profoundly fragmented.

Two audiences. Two flavors of the same problem. Power users hit it daily. Enterprises hit it at scale.

For AI Power Users & Engineers
The tools are smart. The system is dumb.
[ 01 ]
Context dies on every session.
Power users repeat themselves daily. The smartest models still wake up with amnesia, and every prompt re-explains what was already decided yesterday.
[ 02 ]
Workflows are stitched, not orchestrated.
Tabs, chats, copy-paste, manual handoffs. AI tools are silos. Anything beyond a single prompt becomes glue work — slow, brittle, unreliable.
For Mid-Market & Enterprise
Every department buys AI. Nobody coordinates it.
[ 03 ]
Enterprises adopt AI in chaos.
Departments deploy independently. No governance. No coordination. Fragmented AI compounds fragmented operations.
[ 04 ]
Institutional knowledge keeps walking out the door.
Process lives in people's heads, not in systems. Turnover resets the operation. AI is bolted on, not built in.
02 / The Market

A generational infrastructure opportunity.

Every organization is buying AI. Almost none are coordinating it. The orchestration layer is the next platform shift — and it's wide open.

TAM · Total Addressable
$1.3T
by 2032
Global enterprise AI & automation spend.

Every knowledge-work organization on Earth eventually runs on an orchestration layer. This is the long-horizon prize.

SAM · Serviceable Addressable
$180B
by 2028
AI orchestration & agent infrastructure.

Mid-market and enterprise buyers actively budgeting for AI workflow, memory, and multi-agent execution — Vodou's direct lane.

SOM · Reachable Initial Market
$300M
platform-managed spend · 5 yrs
AI workflow spend managed through Vodou.

The cumulative AI workflow spend we expect to operate on top of over five years. Vodou's revenue comes from a take-rate on this managed spend, not the figure itself.

Why now.  Frontier models are commoditizing fast. The durable value is moving up the stack — into memory, orchestration, and execution. The infrastructure layer between intelligence and outcomes is being defined right now, and there is no incumbent.
03 / Vodou OS
VODOU OS For AI power users & engineers

Control your AI.

One operating system for all your tools, workflows, memory, and systems — running locally.

Vodou OS is the infrastructure and execution layer for agentic AI. It routes models, MCP tools, workflows, memory, skills, and jobs through one centralized runtime. Instead of jumping between disconnected apps and prompts, Vodou becomes the system that ties everything together — and compounds in value the more you use it.

  • Persistent memory — context that compounds across sessions, projects, and tools.
  • Parallel execution — multiple models, tools, and jobs running concurrently through one runtime.
  • Universal connectivity — MCP-native, with skills, scripts, and tool orchestration built in.
  • Local-first architecture — your data, your machine, your control.
  • Deterministic workflows — reliable, repeatable execution beyond one-off prompts.
vodou.os · orchestration
INPUT "Refactor the auth module and write tests"
ROUTE BrainLoader → memory · skills · 3 models ~120ms
EXEC parallel: code-gen × test-gen × review 25-50x
MEM FTS5 + vector store · daily logs persisted
DELIVER files · slack · pages · artifacts multi-channel
DONE context retained · workflow saved +1 skill
04 / Orchestration, Explained

First, the plain-English version: a kitchen.

Before the technical pipeline, here's the whole idea in one interactive picture. Press "Fire the order" and watch a single request move through the kitchen — then read the Rosetta table to see exactly what each step means in AI. This is the same explainer that lives on vodou.ai. It's live — click around.

05 / How It Works

From plain English to executed answer.

Every request flows through one pipeline. Intent is parsed, memory is loaded, the right tools are routed and called, then a single model synthesizes the answer.

⚡
Vodou's secret sauce
The Gateway / BrainLoader is proprietary to Vodou
Every other platform makes you decide which AI tool to use. The BrainLoader does that for you — it reads the intent behind your request, pulls in your stored memory as context, and decides in milliseconds whether to run a skill, route to a tool, or call an LLM. That decision engine is Vodou's IP. No one else has it.
YOU
You
a plain-English request
↓
HOW IT REACHES VODOU
Inputs
Web · IDE · Slack · Telegram · Discord
Automations
Scheduled tasks · triggers · hooks · cron
↓
PROPRIETARY · VODOU IP
Gateway / BrainLoader
reads intent · loads memory · routes to the right tool · our secret sauce
ROUTING ENGINE → SEQUENTIAL · BEST PATH WINS
Intent Router
maps request to the right tool
Skills Engine
runs a pre-built skill · fast · no AI needed
Apps / MCP Servers
3rd-party tools & APIs called on demand
CONTEXT ASSEMBLY
LLM Context
your memory + tool results pre-injected as rich intelligence — ready for reasoning
↓
LLM Reasoning
best AI model synthesizes the final answer
↓
Your Answer
file · report · HTML · Slack message · code · widgets
ALWAYS ON: Memory indexingScheduler (cron)HooksFile watcherHook processing
06 / Vodou Enterprise
vodou.enterprise · org graph
VODOU CRM ERP DOCS OPS CHAT DATA
VODOU ENTERPRISE For mid-market & large organizations

Operationalize AI
across the whole org.

A custom AI orchestration and operationalization platform built on the Vodou OS backbone.

Most organizations adopt AI in fragmented, uncoordinated ways. Departments operate independently, workflows stay disconnected, institutional knowledge gets trapped. Vodou Enterprise creates one coordinated operational intelligence and execution layer across the business — connecting workflows, internal tools, automation, reporting, and organizational memory.

  • Operationalize AI — embed it into the workflows your business actually runs on.
  • Preserve institutional memory — knowledge that survives turnover, not buried in people's heads.
  • Centralized governance — guardrails, permissions, and private/local deployment options.
  • Custom execution systems — built to how your organization actually operates.
  • Phased engagement — discovery, design, pilot, deployment, and scale across the org.
07 / The Product

It's not a deck. It's real software.

Vodou is already running in alpha — with persistent memory, a visual workflow builder, a 115-skill subagent library, and ten messaging channels. Every screen below is the actual product.

vodou · memory · mind map
Vodou memory mind map view
Compounding Memory
Mind Map view
Every session, decision, and pattern is captured and linked. Memory compounds across projects — searchable, semantic, and persistent.
vodou · skills
Vodou skills directory
115 active subagents
Composable Skills
SubAgent Personas
Pre-built specialists for engineering, design, research, ops — all orchestrated through Vodou.
vodou · messaging
Vodou messaging channels
Universal Channels
10 messaging surfaces
Slack, Telegram, Discord, MS Teams, WhatsApp, iMessage, Voice, Web — Vodou meets users where they already are.
vodou · builder
Vodou visual workflow builder
Visual Orchestration
Workflow Builder
Drag-and-drop nodes — LLM prompts, tool calls, branches, triggers. Build deterministic AI workflows in minutes.
vodou · docs & api
Vodou docs and API explorer
Developer Surface
Live API Explorer
OpenAI-compatible API, MCP-native, full docs. Drop Vodou into Cursor, Continue, aider, or any OpenAI SDK.
08 / Competition

Everyone builds vertical tools. We build the horizontal layer.

Coding agents. IDE assistants. Single-LLM wrappers. The market is full of vertical tools that excel at one job. Vodou is the orchestration layer that sits beneath all of them.

Claude Code lives in a terminal. Cursor lives in an IDE. OpenClaw is a single agent loop. Cowork is a Claude-native desktop app.
Vodou is the operating system they all eventually plug into.
Capability Vodou Claude Code Cursor OpenClaw Cowork
Intelligence Routing ✓BrainLoader Pipeline ~LLM decides ~Model routing ~Intent router ~Claude-native agent loop
Local-First Architecture ✓100% Local ~Tools local, inference cloud ~Code local, inference cloud ~Self-hosted, cloud LLMs ~Files local, cloud inference
Compounding Memory ✓FTS5 + Vector + Daily Logs ~Flat markdown files ~Rules only (removed Memories) ~File-based, plugins for more ~Projects (per-folder context)
MCP-Native ✓Full + orchestration ✓Full ✓Full ✓Native SDK ✓Full + plugins
Parallel Tool Execution ✓Connection pooling, 25–50× ~Multi-tool calls + subagents ✓Background agents ~Serial default, sub-agents ~Sequential agent loop
Composable Skills ✓Unlimited, user-created ~Skills + custom commands ~Rules, commands, skills ✓13K+ on ClawHub ~Plugins (curated)
Rich Artifact Delivery ✓HTML, files, reports, Slack ✗Terminal + file writes ~IDE plans + code diffs ✓Canvas (HTML/React) ✓Files, spreadsheets, docs
Multi-Channel Delivery ✓Gateway, Slack, Telegram, Discord ✗Terminal only (3rd party bridges) ~Slack integration ✓20+ platforms ✗Desktop app only
Data Sovereignty ✓Zero mandatory cloud ~API dependent ~Privacy mode, no on-prem ~Self-hosted, unencrypted at rest ~Files local, cloud inference
Unified Orchestration ✓Skills + MCP + Scripts + Memory ✗Code agent only ✗Code editor only ~Agent + skills (no unified pipeline) ✗Single-LLM agent only
The takeaway.  Others excel in their vertical. Vodou is the only platform that unifies intelligence routing, compounding local memory, parallel orchestration, and multi-channel delivery into a single horizontal layer.
09 / Architecture

Two divisions. One ecosystem.

Vodou OS is the foundational orchestration infrastructure. Vodou Enterprise is the implementation layer built on top of it. Together they create recurring software revenue, enterprise implementation revenue, and a defensible infrastructure moat that compounds with every workflow.

/ INFRASTRUCTURE

Vodou OS builds the platform.

Local-first runtime, memory architecture, parallel orchestration, MCP-native tool layer. The operating system every AI power user and engineer eventually needs.

/ OPERATIONALIZATION

Vodou Enterprise deploys it.

Custom implementations inside organizations — connecting fragmented systems, preserving knowledge, and turning AI into operational infrastructure with governance baked in.

10 / Financials

The aggressive case: revenue-positive from month one.

Our aggressive model is subscriber-driven: paid Vodou OS subscriptions at a $52 blended ARPU, layered with enterprise pilot revenue. Operating expenses hold flat at $99K/month through 2027, then scale with the team in 2028 — so margin compounds as the subscriber base grows.

Mid-2027 · June
$553K
monthly revenue · ≈ $6.6M run-rate
10,000 paid subscribers, six months in.

$520K in OS subscriptions plus early enterprise pilots — against $99K in monthly OpEx. That's +$454K in monthly net income by June.

Exit 2027 · December
$1.38M
monthly revenue · ≈ $16.6M run-rate
25,000 subscribers closing Year 1.

FY 2027 finishes at $8.2M total revenue on $1.19M of operating expense — roughly $7.0M in first-year net income.

Full-Year 2028
$35.3M
FY revenue · 75,000 subscribers by Dec
3x subscriber growth, expanding enterprise.

Enterprise revenue scales to $300K/month while OpEx steps up to $218K/month with a full team — delivering ≈ $32.6M in FY 2028 net income.

Monthly total revenue · Jan 2027 → Dec 2028 2027 2028 anchor months
Jan ’27Dec ’27Dec ’28
How to read this.  This is the aggressive scenario from Vodou's internal 2027–2028 forecast model — subscriber growth from 4,000 (Jan ’27) to 75,000 (Dec ’28) at a $52 blended ARPU, plus enterprise pilot revenue, with expenses per our phased hiring plan. A conservative model with the same expense base is available on request.
11 / The Ask

A staged round, built for capital efficiency.

We're structuring the raise in two stages so investors can right-size their entry. A lean pre-seed unlocks immediate execution; the full seed delivers 14–18 months of runway to revenue, public launch, and Series A readiness.

▸ Immediate · Pre-Seed
$500Ktarget

Bridge to MVP & first enterprise pilots.

A focused tranche that funds alpha stabilization, the first 2 engineering hires, enterprise pilot outreach, and Vodou OS soft launch. Designed for angels and pre-seed funds with smaller check thresholds.

Open now $25K–$100K checks SAFE ~4–6 mo runway
▸ All-in · Seed
$1.8–2.1Mtarget

14–18 months to revenue & Series A.

Full seed round funding engineering scale, GTM, infrastructure, and founder-led enterprise sales. Pre-seed converts into this round. Designed for seed funds and strategic angels with conviction on AI infrastructure.

Lead invited $100K–$500K checks Priced / SAFE 14–18 mo runway

Allocation at full raise

45%
Engineering & Product
Hire 2–4 engineers · MVP to production · Windows + Linux expansion · orchestration engine, QA, DevOps
$850K – $900K
20%
Go-To-Market & Community
Developer community + content engine · launch marketing · product-led growth on GitHub and dev channels
$350K – $400K
15%
Infrastructure & Operations
Cloud + compute scaling · security, compliance, data infra · legal, accounting, operational systems
$275K – $325K
10%
Enterprise Sales & Pilots
Founder-led sales + 1–2 BD support · pre-sales engineering · convert pilots into long-term annual enterprise contracts
$175K – $225K
10%
Founder & Core Team Support
Modest founder salaries for full-time focus · early hires (support / ops) · execution velocity at scale
$175K – $225K
12 / Roadmap · 2026–27

From alpha to enterprise revenue in three phases.

A milestone-driven path from MVP stabilization through public launch and first enterprise contracts — engineered to compound momentum across the year.

Phase 01
June — August 2026
Alpha Stabilization → MVP Ready
Fix critical alpha bugs and resolve usability gaps. Lock MVP feature set. Hire 2–4 engineers. Complete OS soft launch. Begin enterprise pilot outreach to 2–5 targets.
Phase 02
August — November 2026
OS Expansion → Public Launch
Windows and Linux builds. Infrastructure scaling and DevOps. Vodou OS public release. Launch initial outbound and partnership marketing strategy.
Phase 03
November 2026 — January 2027
First Enterprise Revenue → Scale & Prove
Founder-led enterprise sales with BD support. Deliver first pilot proposals. Convert pilots into annual contracts. Scale paying user base. Begin Series A preparation.
13 / Team

Built by operators who've shipped systems.

A team focused on turning AI into a system that works, scales, and delivers real outcomes — bringing together engineering, product, and business leadership with experience across enterprise, startups, and emerging technologies.

Steve Pikor
CEO
Steve Pikor

Leads strategy, growth, and market positioning. Focused on enterprise adoption, partnerships, and bringing Vodou to market at scale.

Chad Priest
CTO
Chad Priest

Architect of Vodou's core platform and orchestration engine. Leads system design and technical execution from prototype to production.

Joe Sciacchitano
CPO
Joe Sciacchitano

Leads product vision and user experience. Translates complex AI capabilities into intuitive, scalable workflows for real-world use.

James Abraham
COO
James Abraham

Oversees operations, financial strategy, and execution. Drives organizational structure, partnerships, and scalability across the business.

Become the
infrastructure layer.

The operating intelligence layer individuals and organizations eventually run on. Let's build it together.

Contact the CEO →