One product per pressure point.
Plus the install manual and the voice layer.
StratOS decides. CommandOS coordinates. OutboundOS executes (LinkedIn signal, outbound, customer care). LucidORG measures. The COO Playbook tells you how to install it. MAX is how you talk to it. Everything sits on the governance chassis.
See how the products map to the four pressure points and eight operating layers →StratOS
Strategic decisions made in the dark by people who agree too easily.
An AI executive room that pressure-tests every decision against ten dissenting perspectives, before it costs real money.
A 10-person simulated executive leadership team debates every strategic question across three structured rounds. Built-in groupthink detection. Kill criteria. Full governance audit trail. Replaces the eight-hour offsite with a thirty-minute audited recommendation.
CommandOS
Cross-functional projects die in handoffs. The PMO is expensive and slow.
AI middle management that plans, dispatches, reviews, and ships every project. Forty-eight domain officers. Three governance gates. One source of truth.
A unified command center for orchestrating autonomous AI agents across multiple concurrent projects. Coordinator, governance, and project-management agents supervise teams of domain specialists. Multi-provider LLM routing routes each task to its best-fit model. Real-time observability and automatic session continuity.
OutboundOS
Functional teams burn budget on outbound, prospecting, and customer care work that could run itself.
One umbrella over four autonomous pods: LinkedIn signal, multi-channel outbound, ABM prospecting, and customer care. Voice-calibrated, governance-gated, running on a small monthly footprint instead of a department.
OutboundOS is the umbrella product for the entire execution layer of revenue and care. LinkupOS handles LinkedIn signal. ABM Engine runs multi-channel outbound and prospecting against named accounts. AutoCS handles customer service automation, escalation routing, and retention plays. Every pod shares one voice-profile RAG, one governance trail, and one observability spine.
LinkupOS
LINKEDIN SIGNAL PODDaily content generation, ICP prospecting, follow-up sequencing, reply monitoring, lifecycle drip. Voice-calibrated through Pinecone-backed intelligence. The original OutboundOS pod and the LinkedIn arm of the umbrella.
ABM Engine
MULTI-CHANNEL OUTBOUND PODAccount-based outbound across email, LinkedIn, voice, and warm intro paths. Company name in, full drop campaign out: enrichment, ICP fit, message variants per persona, sequence orchestration, reply handling.
AutoCS
CUSTOMER CARE + RETENTION PODCustomer service automation, ticket triage, escalation routing, sentiment monitoring, churn-signal detection, retention plays. Closes the loop after the outbound pods land an account.
COO Playbook
Operations is the function nobody knows how to fix.
Three decades of operational pattern recognition, productized into a 30/90/180 install protocol. The methodology every other product runs on.
The complete operating manual for installing AI-native operations. Five paradigm shifts. Eighteen chapters. Twelve frameworks. Stage-specific implementation guides built from running operations inside Microsoft, Credit Suisse, T-Mobile, S&P Global, and global enterprises across six continents.
LucidORG
You measure outputs but don't know where execution actually breaks.
Real-time friction detection across four pillars and thirty-seven levers. Tells you exactly where execution is failing, and which lever to pull.
The measurement and diagnostic platform underneath everything. ECI (Execution Capability Index) scoring across four pillars, eleven metrics, and thirty-seven focus areas. Real-time friction detection. The nervous system that tells leadership where execution actually breaks down, instead of measuring outputs after the damage is done.
MAX
You have data but you can't ask it questions.
Talk to your operation in plain English. Every metric, every pod, every decision. One conversation away.
The conversational layer across the entire stack. Ask any question about your operation in plain English and get an answer backed by real metrics, pod state, governance decisions, and execution data. Powered by the same intelligence layer as every other product. The single voice for the operating system.
Each product stands alone.
Together, they break the cycle.
Misalignment becomes drag. Drag becomes cost. Cost forces reactive leadership. Reactive leadership locks in more misalignment. Each product is one intervention site in that loop. The full stack is the unfair advantage.
Which anchor
solves your problem?
Not sure yet? Let's talk about what you're trying to fix and which piece of the stack actually matches.