Context switching
The average knowledge worker switches between nine apps per day. Each switch costs ~23 minutes of refocus—roughly 3.5 hours lost daily.
Investor pitch · June 2026
Put expert AI
to work.
AAA AI is an enterprise multi-agent platform: orchestrate models, tools, memory, and human approvals while keeping control of your data. 122 integrations (682 actions), 10 built-in expert modules, agent-team lanes, and nine client surfaces—now with CLI TUI, orchestration task board, and full offline on iOS/macOS.
Raising to scale
122 integrations
Self-host ready
The problem
Knowledge work is fragmented—and AI makes it worse.
$9,400 per employee per year lost to tool overload. Teams juggle nine apps daily, restart every AI conversation from zero, and cannot deploy agents with the governance enterprises require.
Fragmented AI
ChatGPT, Claude, and Gemini are powerful alone, but real work means prompt engineering, copy-paste, and no durable organizational memory.
No operational layer
General assistants do not ingest project topology, data classifications, or internal workflows as first-class state—latency and error rates climb on recurring tasks.
Privacy is non-negotiable
Enterprises, healthcare, and legal teams need AI that runs locally or in customer-controlled environments—not opaque third-party inference by default.
The solution
One platform for governed, multi-expert AI work.
Intelligent agents that plan, write, analyze, code, and automate—with persistent memory, 122 integrations, visual workflows, and customer-controlled deployment.
Multi-expert reasoning
10 built-in expert modules with 12 verification modes—debate, critic-reviewer, self-consistency, red-team, and more—reducing single-model overconfidence.
Control by design
Trace agent runs, tool calls, and outcomes. Human approvals in workflows, CLI TUI, and orchestration task board.
122 integrations
Slack, GitHub, Notion, Salesforce, Stripe, Google Sheets, and 116 more—682 catalog actions wired into visual workflows.
The product
Integrated scope from chat to infrastructure.
Expert chat & panel
10 built-in experts—math, coding, planning, risk, search, vision, weather, and more—with persistent FAISS memory and optional graph context.
Agent teams
Research → code → test → review → deploy lanes orchestrate multi-step missions with integration-backed delivery (GitHub, LinkedIn, and more).
Workflows & integrations
Visual orchestration. Chain AI agents and 122 business connectors into automated pipelines with approval nodes.
Task orchestration
Kanban board plus web orchestration task board—monitor multi-agent runs, events, and active work in real time.
CLI agent TUI
Unified terminal agent with model picker, session history, file diffs, and an approvals loop before destructive operations.
Live vision & voice
Real-time camera and voice agents with TTS via OpenAI, ElevenLabs, or browser built-in.
AI-native IDE (macOS)
Multi-panel development environment with multi-agent coding, Git, terminal, and MLX on Apple Silicon.
System & device agents
Desktop agents on macOS, Linux, or Windows plus 30+ device tools—phone, SMS, camera, clipboard, shell, and Mac UI automation.
Web
iOS · App Store
Android
macOS Chat & IDE
Desktop agents
Telegram · Discord · Slack
Specifications
Product sheet · June 2026
| Languages | UI: EN & RU. Chat: model-dependent (typically 50+; cloud often 100+). |
|---|---|
| Platforms | Web, iOS, iPadOS, Android, macOS Chat, macOS IDE, CLI TUI, agents (macOS/Linux/Win), Telegram, Discord, Slack. |
| Chat | 10 built-in experts; 12 verification modes; streaming; web search; FAISS memory; per-expert provider. |
| Agent teams | Research, code, test, review, deploy lanes with integration-backed publish flows. |
| Notes | Voice orb capture, calendar filters, sync; iOS + macOS Chat sidebar parity. |
| Workflows | Visual orchestration + 122 integrations / 682 catalog actions (Slack, GitHub, Notion, CRMs…). |
| Tasks | Kanban + orchestration task board on the same AI pipeline with history. |
| IDE | Native macOS: multi-agent coding, Git, terminal, MLX on Apple Silicon. |
| Offline | Local LLMs via Ollama, MLX, and Llama.cpp on iOS/macOS; biometric unlock + Keychain. |
| Storage | FAISS vector memory; PostgreSQL for users/settings; Neptune graph optional—you control retention on self-host. |
| Interfaces | HTTPS, WebSocket, MCP, OAuth connectors, 40+ built-in MCP tools, DMG/PKG/DEB/EXE agents. |
Release cadence
What's new since March.
Shipped in the repo and live on aaaai.me—April through June 2026.
CLI TUI, orchestration board, offline mobile
Interactive CLI agent with approvals loop and file diffs; web orchestration task board for multi-agent monitoring; full offline LLM on iOS/macOS with Face ID/Touch ID and Keychain storage.
AWS Startups support
Accepted into AWS Startups with credits applied to cloud infrastructure, testing, and customer-facing deployment on the production stack.
Notes & capture
Voice recording UX with animated orb, calendar week/day filtering, and notes parity between iOS and macOS Chat.
Chat & experts refresh
Live voice sessions, smoother expert switching, and web search in thread with optional LLM verification of results.
Market
$150B+ and accelerating.
$100B+Productivity software
$50B+AI tools by 2027
400M+Knowledge workers
73%Want personalized AI
Individuals & creators
Writers, developers, and founders who need personalization and controllable data paths. Pro ($20/mo) unlocks full cloud-backed capability.
SMBs & teams
Workgroups that need production-grade automation without multi-quarter bespoke AI programs—122 connectors productized in the workflow layer.
Enterprises
Privacy-first, self-hosted deployment. SSO, audit trails, and compliance programs under customer control.
Developers
Native IDE, system agents, MCP connectivity, and specialized agent archetypes for software delivery and platform automation.
Business model
Freemium → Pro → Enterprise
Free
$0
Local models (Ollama/MLX), offline mode, basic workflows & task board, one system agent, community support.
Pro
$20/mo
All cloud LLMs, 122 integrations, visual workflows, web search, image gen, voice/vision, unlimited agents, priority support.
Team / Enterprise
Custom
Self-hosted (Docker / Terraform / AWS), SSO, custom integrations & fine-tuning, SLA, on-premise GPU inference.
Traction
Built, shipped, and production-ready.
9Client surfaces shipped
122Live integrations
682Catalog actions
12Verification modes
CLI, board, offline
Unified CLI agent TUI with approvals; orchestration task board on web; biometric offline mode on iOS and macOS.
AWS Startups
Infrastructure credits to scale blue-green AWS deployment, testing, and onboarding workloads.
Full stack deployed
Multi-expert AI with memory, debate, web search, and streaming—live on AWS with Neptune, Redis, and S3.
Nine targets shipped
iOS, Android, macOS Chat, macOS IDE, Web, CLI, desktop agents (3 OS), Telegram, Discord, Slack—with offline where supported.
122 connectors · 682 actions
Slack, GitHub, Jira, Notion, Salesforce, HubSpot, Stripe, Google Sheets, S3, PostgreSQL, MongoDB—catalog verified in repo.
Why us
Repo-verified vs. the market.
Compared against typical shipped capabilities in ChatGPT/Claude, Microsoft Copilot, and n8n/Zapier—as of June 2026.
| Capability | ChatGPT / Claude | Microsoft Copilot | n8n / Zapier | AAA AI |
|---|---|---|---|---|
| Multi-expert verification | Single model | Single model | No AI core | 10 experts · 12 modes |
| Persistent workspace memory | Projects / threads | M365 context | No memory | FAISS + graph |
| Offline / local inference | Cloud-first | Cloud-first | Cloud / self-host runner | Ollama · MLX · Llama.cpp |
| Visual AI workflows | Agent builder (beta) | Copilot Studio | Strong automation | AI nodes + 122 connectors |
| Business integrations | Plugins / actions | M365 + Graph | 500+ apps | 122 · 682 actions |
| Native mobile + desktop | Apps + web | Office + mobile | Web-first | 9 surfaces + CLI |
| Live voice + camera | Voice mode | Limited | No | Voice · vision · TTS |
| Agent team lanes | No | No | No | Research · code · deploy |
| Human approval gates | Limited | Policy layers | Manual steps | Workflow + CLI TUI |
| Self-hosted deployment | SaaS only | Azure-bound | n8n self-host | Docker · Terraform · AWS |
| System / device agents | No shell agents | No | No | Desktop + 30+ device tools |
Counts and features verified against the AAA AI codebase (`integration_registry.py`, `experts.py`, `agent_team.py`, `api.py`) and public competitor offerings as of June 2026. Partial = available in some tiers or with constraints.
Vision
Scale intelligence without losing oversight.
Intelligence embedded in operational workflows—governed, auditable, and aligned with organizational policy. Persistent organizational memory, private execution paths, and measurable throughput on recurring knowledge work.
Join us
Deploy your first
expert workflow.
Capital deployment targets platform scale, connector density toward 500+, and systematic adoption among knowledge workers.