Proprietary System · Multi-Agent AIOS

Ottolax™ — The Multi-Agent AIOS for Operating Businesses

Automate so you can relax. Ottolax is the multi-agent AI Office Automation Platform that runs lead gen, follow-ups, content production, ad management, scheduling, reporting, and recurring ops — autonomously, with budgets and observability.

Ottolax multi-agent dashboard

The Problem

Every team building production AI rebuilds the same platform

The toy stack — an OpenAI key, a LangChain wrapper, and three tools — stops working at about five agents and ten integrations. Then five things break at once: credentials sprawl, cost explosions, tool execution risk, model whiplash, and observability gaps. Every team that ships AI to production rebuilds the same platform layer to fix these. It takes six to twelve months and produces nothing the business can sell.

Ottolax is that platform layer, built once, used many times. We built it to run our own businesses — including The Leading Practice, our marketing agency that operates end-to-end on Ottolax agents. It runs lead gen, client follow-ups, content creation, ad audits, scheduling, reporting, and the recurring operational work that used to require a full ops team.

You can license Ottolax directly — hosted, in your private cloud, or as a source license for regulated workloads. Or you can get access as part of a Fractional CAIO or Custom AI Build engagement with Titanium Labs. Either way, you skip the year of platform work and start shipping product.

How Ottolax Works

Three-stage architecture, opinionated for production.

1

Define the workflow

Every Ottolax workflow starts as a markdown SOP: objective, inputs, tool sequence, output format, edge cases. Human-readable, version-controlled, and auditable. The same document the agent reads is the document your team reviews.

2

Agents orchestrate, tools execute

The multi-agent orchestrator reads the workflow, plans the steps, and invokes deterministic tools to do the work — 85+ built-in MCP tools out of the box (Google Ads, GHL, Cal.com, Telnyx, Gmail, ClickUp, Stripe, and more) plus custom tools for your stack.

3

Operate under guardrails

Every invocation flows through the middleware pipeline: Context → Policy → Sandbox → Budget → Hooks → Artifacts → Metering. You get full observability, per-tenant budget caps, audit logs, and the ability to swap models without changing application code.

What's Included

Every capability you'd otherwise spend a year building.

Multi-agent orchestrator with role-based specialization and inter-agent messaging
85+ platform MCP tools — Google Ads, GHL, Cal.com, Telnyx, Gmail, ClickUp, Stripe, Slack, and more
React dashboard with 95+ production components for client portals, ops views, and admin
Built-in client portal with billing, Stripe integration, and WebSocket team chat
Installable skills system — drop a skill folder, it loads and the agents can use it
WAT pattern (Workflows / Agents / Tools) — markdown SOPs drive deterministic execution
Middleware pipeline: Context → Policy → Sandbox → Budget → Hooks → Artifacts → Metering
ProviderRegistry: route between Claude Opus/Haiku, Qwen Tier 2, OpenAI fallback, Cloudflare AI
FastAPI backend + Supabase Postgres + pgvector for retrieval
OpenTelemetry tracing of every model call, tool call, and middleware stage
Per-tenant budget enforcement — no runaway API bills
Multi-tenant from day one — operate one customer or a hundred

Who Ottolax Is For

  • Agencies running operational AI for multiple client tenants
  • Internal AI teams that need orchestration but don't want to build the platform
  • Companies replacing five different AI point tools with a single platform
  • PE-backed roll-ups standardizing AI infrastructure across portfolio companies
  • Teams whose security org won't approve more app-level OAuth refresh tokens

Ready to ship an AI system that actually runs your business?

Book a 30-minute strategy call. We'll map your highest-leverage AI opportunities and tell you exactly what we'd build.

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