We build the AI Department you can't hire

    We embed with your enterprise to identify the highest-ROI opportunities, build production AI, and help your people own what comes next.

    Our team comes from

    Meta
    Google
    Anthropic
    Samsung
    Berkeley University
    OpenAI
    World Bank
    University of Waterloo
    Amazon
    Coinbase

    From audit to production

    A clear sequence: understand the opportunity, build the infrastructure, and deliver a working system.

    1. 01

      The Audit

      Most company data is invisible to AI. We audit your stack to identify exactly what is Legible (structured for reasoning) and Eligible (safe to touch).

      The output: A technical "Go/No-Go" roadmap. No guessing.

    2. 02

      The Rails

      Toy automations break at scale. We deploy the enterprise plumbing (Vector DBs, MCP Servers, and RBAC) so your AI accesses proprietary data without leaking secrets.

      The output: A secure, managed environment where digital labor actually runs.

    3. 03

      The Sprint

      We don't sell hours; we sell assets. Every 30 days, we scope and deploy a functional "Cog": a structural replacement for a manual process.

      The output: A deployed, high-ROI workflow every single month.

    Cogs vs. Grease: Know the Difference

    Most AI projects fail because they optimize the wrong thing

    The Trap (AI "Grease")

    Most agencies and AI tools sell you "Grease": solutions that help one employee write emails 10% faster. It feels good, but it doesn't change your P&L or modernize your business.

    The Asset (AI "Cogs")

    We focus on AI "Cogs": ripping out entire manual workflows and replacing them with AI systems that run 24/7 and do the work of 10 employees.

    The Result

    We don't sell business improvements. We sell business modernization. You don't get a tool. You get agentic systems that do the work of full-time employees 24/7.

    Where AI can create leverage

    Select a business area to explore a workflow and its potential impact.

    Lead Research Automation

    Your situation

    Sales reps spend 30-60 min researching each lead before outreach

    What we automate

    Overnight research, company analysis, personalization, and scoring

    Operational impact

    • 45 min → 2 min per lead
    • 2-3 more deals closed from better targeting

    Potential monthly ROI

    $24,000-$44,000

    Potential annual ROI

    $288,000-$528,000

    How this estimate is calculated
    • Inputs:
    • - 500 leads/month
    • - 45 min per lead (research, personalization)
    • - $50/hour loaded cost for sales rep
    • Before: 500 × 45 min = 375 hours/month
    • After: 500 × 2 min = 17 hours/month
    • Time saved: 358 hours × $50 = $17,900/month
    • Plus: 2-3 additional deals closed = $10-20K/month
    • Monthly ROI: $24-44K
    • Annual ROI: $288-528K

    The Deployment Model

    We embed in your company as your AI strategy and infrastructure partner

    The Investment

    Internal Hire
    Uncapped
    (Salary + Equity + Recruiting)
    Off-Shelf SaaS
    Variable
    (Seat licenses stack up)
    DIY / Ad-Hoc
    Hidden
    (Your team's opportunity cost)
    Your AI Dept (Infrastructure Partner)
    Flat Retainer
    (Fraction of a senior hire)

    The Asset

    Internal Hire
    1 Employee
    (Siloed knowledge)
    Off-Shelf SaaS
    A Login
    (You figure it out)
    DIY / Ad-Hoc
    A Script
    (Fragile & unmanaged)
    Your AI Dept (Infrastructure Partner)
    A Department
    (Engineers + Platform + Strategy)

    The Rails

    Internal Hire
    You Build It
    (6+ months R&D)
    Off-Shelf SaaS
    Generic
    (Data privacy risks)
    DIY / Ad-Hoc
    None
    (Security nightmare)
    Your AI Dept (Infrastructure Partner)
    Included
    (Managed, private infrastructure)

    Continuity

    Internal Hire
    High Risk
    (Knowledge leaves if they quit)
    Off-Shelf SaaS
    Zero
    (Read the docs)
    DIY / Ad-Hoc
    Low
    (Breaks when you scale)
    Your AI Dept (Infrastructure Partner)
    Guaranteed
    (We maintain the uptime)

    Speed to ROI

    Internal Hire
    9 Months
    (Hiring + Ramping)
    Off-Shelf SaaS
    3-6 Months
    (Implementation)
    DIY / Ad-Hoc
    Never
    (Pilot purgatory)
    Your AI Dept (Infrastructure Partner)
    1-3 Months
    Internal HireOff-Shelf SaaSDIY / Ad-HocYour AI Dept
    (Infrastructure Partner)
    The Investment
    Uncapped
    (Salary + Equity + Recruiting)
    Variable
    (Seat licenses stack up)
    Hidden
    (Your team's opportunity cost)
    Flat Retainer
    (Fraction of a senior hire)
    The Asset
    1 Employee
    (Siloed knowledge)
    A Login
    (You figure it out)
    A Script
    (Fragile & unmanaged)
    A Department
    (Engineers + Platform + Strategy)
    The Rails
    You Build It
    (6+ months R&D)
    Generic
    (Data privacy risks)
    None
    (Security nightmare)
    Included
    (Managed, private infrastructure)
    Continuity
    High Risk
    (Knowledge leaves if they quit)
    Zero
    (Read the docs)
    Low
    (Breaks when you scale)
    Guaranteed
    (We maintain the uptime)
    Speed to ROI
    9 Months
    (Hiring + Ramping)
    3-6 Months
    (Implementation)
    Never
    (Pilot purgatory)
    1-3 Months

    Your AI department

    What working with us means in practice.

    No Black Boxes

    You own the data and the logic maps. We provide the transparency you need to trust the machine.

    Managed Stability

    We provide the managed engine that handles model updates, token costs, and security.

    No "Strategy" Without Code

    We despise consulting fluff. If we can't build it in 30 days, we don't propose it.

    Common questions

    The practical details before we get started.

    My data is a mess (unstructured, scattered, siloed). Do I need to hire a data team to clean it all before we can start?

    No. You don't need to clean everything. We audit your stack to identify the path of least resistance and build towards fast ROI before investing in large infrastructure.

    We have strict privacy rules (HIPAA/Finance). Will this AI train on our data or leak secrets to the public?

    No. The AI will only see what the specific users already in your company are allowed to see. Furthermore, we use enterprise instances where zero data is used for model training. Your data stays secure and private.

    Do we need to rip out our current software (ERP, CRM, Legacy Systems) to make this work?

    No. We create connective tissue using APIs, MCP orchestration and role-based authentication that allow the AI to read/write to your existing tools without having to change them.

    Can I use n8n or Zapier to build automations?

    You can, if you want "Grease" (10% efficiency). But if you want "Cogs" (10x autonomous labor), Zapier or n8n automations are not sufficient.

    Ready to put AI to work?

    Get your free AI audit roadmap