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Ideator Labs

Early-stage AI studio — advisory experiments + venture builds. We find the margin, then we build the machine.

Ideator Labs — We find the margin. Then we build the machine.

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Ideator Labs is an early-stage AI studio — an advisory approach and a set of venture experiments. The idea: apply the scientific method to business operations (hypothesis → instrumentation → measurement → verdict), then engineer the AI and automation that capture what the measurements expose. Fixed-scope, senior-only, built in the open — one project at a time.

We find the margin. Then we build the machine.


Field Findings — what the data keeps showing

The same patterns show up in nearly every operations-heavy business — professional services, logistics & distribution, manufacturing, multi-site healthcare. Each is measurable, and each is money.

Signal Finding
Profitability 15–30% of customers are typically unprofitable — invisible until margin is measured per customer / SKU / job
Capacity 20–40% of admin payroll goes to manual work AI can now do — documents, rekeying, status-chasing, reconciliation
Pricing one point of unmanaged pricing moves profit 8–12% — the highest-ROI fix that exists
Service 30–60% cut in cost-per-contact with AI deflection, drafting & triage — CSAT held or improved
Cash $500k–$5M routinely freed from the cash-conversion cycle — billing lag, collections, over-ordered inventory
Systems only ~20% of the ERP/CRM most companies pay for is actually used — while the workarounds cost more

→ Try the live profit-leak estimator — six one-tap signals, your own estimate, entirely on-device.

The Method — VALUE OS

Every engagement runs one disciplined protocol. No opinions without instruments; no recommendations without a number attached.

Stage What happens
01 · Baseline days 1–5 Observe the system — interviews, systems inventory, data extraction
02 · Diagnose days 5–12 Form & test hypotheses on a MECE issue tree — confirmed / refuted / inconclusive
03 · Quantify days 10–15 Price every finding — margin waterfalls, time-and-volume studies, the value map
04 · Design days 12–21 Sequence the fixes — impact-vs-effort, 12-month roadmap, business case per initiative
05 · Drive ongoing Build & measure realization against the baseline — reported as cumulative value

Services — four ways to engage

Every relationship starts small and fixed-fee. Each step is earned by finding money in the one before it.

Engagement Shape
01 · Diagnose Diagnostic Sprint fixed fee · 2–4 wks — a priced opportunity map you own either way
02 · Design Roadmap & Business Case fixed fee · 3–8 wks — every initiative costed with its payback period
03 · Deliver Build Retainer monthly · 3–12 mo — document AI, automation, dashboards, copilots; measured vs baseline
04 · Drive Advisory monthly · ongoing — quarterly reviews, accountable to the cumulative value number

The Ideator Promise — the numbers have to defend themselves.

The Lab — ventures & research

Advisory is the approach. The Lab is the venture side — independent products being built with the same engineering, plus the open research beneath them.

Venture What it is Status
LeadHive AI Marketplace 2.0 — a Growth OS for service businesses. Signals → intent graph → agents → outcomes. Active build · private
Reflex Autonomous data engine — declare the outcome; pipelines plan, run, heal, and learn. Early build
Open research Status
CORTEX Composable orchestration for LLM agents, tools & agent-to-agent exchange Open research
YAMCP Multi-transport Model Context Protocol tool server — HTTP / WS / CLI v0.1 testing
Brain Context-aware AI memory — project classification, privacy tiers, retrieval Early research · private

Everything we recommend has survived our own lab first.

Contact — start with a capacity review

Bring one broken process or one suspicious number. In 25 minutes we'll tell you whether there's a figure worth finding — and if there isn't, we'll say so.

hello@ideatorlabs.dev · ideatorlabs.github.io

MEASURE → PROVE → BUILD → COMPOUND · © 2026 Ideator Labs

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