Load

Your data

Connectors or approved imports bring in emails, cookies, events, CRM rows, tickets, billing, documents, and outcomes.

Store

The trail

Scout keeps ordered attribution paths in your estate (PostgreSQL/pgvector for proof). Fortress moves heavy load into Rust and LanceDB.

Match

Past outcomes

The Rust engine compares the current path with similar journeys that converted, retained, escalated, delayed, or lost.

Return

A task brief

Checked JSON with top examples, confidence, caveats, and ranked next steps for the goal you asked about.

Explain

Your model or team

Your approved model can explain the brief. It does not invent the plan. Elite covers the leadership walkthrough when needed.

Design partner program · limited seats

Become a design partner. Shape the product on a workflow that matters.

Limited seats. Preferential pilot pricing (typically 40–50% off discovery and first Fortress pilot scope), direct founder access, roadmap influence, and a path to a co-branded case study — in exchange for one real workflow and honest feedback.

Seats

Limited

Pilot window

60–90 days

Your time

2–4 hrs/mo

Pricing

Typically 40–50% off

Upgrade path

Scout (free proof) → Fortress (scale) → Elite (full operating model)

Start where risk is lowest. Move only when the proof, privacy boundary, or leadership walkthrough needs the next layer.

Full product map
  1. 01 · Free proof

    Scout

    Prove one real workflow on your machine with PostgreSQL/pgvector.

    Open Scout
  2. 02 · Scale privately

    Fortress

    Private connectors, Rust/LanceDB runtime, and deployment under your control.

    Open Fortress
  3. 03 · Full operating model

    Elite

    Discovery, synthetic demo, pilot scope, and a leadership walkthrough path.

    Open Elite

What you get

Concrete benefits — not a vague waitlist perk.

Preferential pilot pricing (typically 40–50% off)

Discounted rates on discovery and the first Fortress pilot scope versus standard commercial pricing, locked for the agreed pilot window (usually 60–90 days). Exact numbers are confirmed in writing at scope.

Direct access to the founder

Architecture, data-boundary, and acceptance-criteria sessions with Paul — not a generic sales funnel or junior hand-off.

Roadmap influence

Connector priority, packet shape, and upgrade-path decisions are shaped by the workflows partners actually run.

Co-branded case study option

Where both sides agree, we publish a privacy-safe outcome story your industry peers can trust.

A written feedback contract

Expect about 2–4 hours a month from one workflow owner: a short review call plus async notes. No endless meeting tax.

Priority scheduling + clear success definition

Walkthroughs and proof reviews first. We agree one workflow, one data boundary, and measurable acceptance checks before rollout talk.

The exchange

You bring one hard workflow. We bring founder-level build focus.

Design partnership is not free consulting and not a closed beta logo farm. It is a structured exchange: preference and access for you; production truth for us.

One real workflow with an owner who cares about the outcome this quarter.

Honest feedback on Scout proof, Fortress private runtime, and Elite leadership path.

A production-shaped data boundary we can design against — not a sandbox fantasy.

Permission, where agreed, to tell a privacy-safe story of what improved.

How it works

Four steps from application to pilot review.

01

Apply

Share role, systems, the workflow that matters, and what good looks like in 60–90 days. No secrets or raw data.

02

20-minute technical discussion

We map Scout → Fortress → Elite against your constraints and decide whether a design-partner seat is the right fit.

03

Scope the pilot + commercial terms

Agree sources, read scope, model boundary, success measures, preferential pricing, pilot window, and feedback rhythm — in writing.

04

Run and review

Prove the path, review outcomes together each month, and decide next commercial steps — including co-branded proof if both sides want it.

Paul Maddison, Founder and CEO of KynticAI

Built by

Paul Maddison — enterprise architecture, not slideware.

Paul has spent 20+ years designing data and platform systems for large organisations. KynticAI comes from a blunt lesson: most AI projects fail because the relationship between signals is missing or left outside the customer's control — not because the model is not clever enough.

Design partners work with him directly on scope, proof, and what a successful pilot looks like in a real estate.

FAQ

Straight answers before you apply.

How many design partner seats are open?

A small number at a time. We keep capacity low so founder access and feedback loops stay real.

What discount do design partners actually get?

Preferential pilot pricing is typically 40–50% below standard commercial rates on discovery and the first Fortress pilot scope, locked for the agreed 60–90 day pilot window. Final figures are confirmed in the scoped terms so nothing is ambiguous.

What feedback do you expect from us?

One workflow owner, roughly 2–4 hours a month: a short structured review call plus async notes on what worked, what blocked you, and what the packet or connectors should do next.

Do we have to start on Fortress?

No. Many partners start with Scout for free proof, then move to Fortress when privacy, scale, or connectors demand it. Elite is available when leadership needs the full walkthrough.

Will our data leave our estate?

Default posture is customer-controlled data plane. Pilots are scoped around approved sources and clear boundaries — not bulk export into a black-box SaaS.

What is the time commitment?

After the initial discussion and scope, typically 2–4 hours per month for the pilot window. We design for useful feedback, not endless meetings.

Design partner program · limited seats

A real program: discounted pilot, founder access, roadmap input — for one hard workflow.

We are looking for a small set of partners who need AI that behaves on enterprise data without giving that data away. You get clear commercial preference, direct time with Paul, and a path to a co-branded case study. We get production-shaped feedback on Scout, Fortress, and Elite.

Seats

Limited

Pilot window

60–90 days

Your time

2–4 hrs / month

Pricing

Typically 40–50% off

Preferential pilot pricing

Typically 40–50% below standard commercial rates on discovery and the first Fortress pilot scope, locked for the agreed pilot window (usually 60–90 days).

Direct founder access

Working sessions with Paul on architecture, data boundary, and pilot success criteria — not a hand-off to a scripted sales process.

Roadmap influence

Your workflow helps set connector order, packet shape, and the Scout → Fortress path so the product fits how you actually buy and deploy.

Co-branded case study path

Where both sides agree, we publish a privacy-safe outcome story your industry peers can trust.

Clear feedback contract

About 2–4 hours a month from one workflow owner: one short review call plus async notes. We agree the cadence in writing before the pilot starts.

Priority support while seats last

Walkthroughs, proof reviews, and scope workshops are scheduled first for design partners.

Who this is for

  • You help decide how data, AI, or integrations land in the business.
  • You have one workflow where a better next task would matter this quarter.
  • You can approve a narrow, read-scoped source for a pilot.
  • You want data to stay under your control, not shipped into a black-box SaaS by default.

How the program works

  1. 1

    Apply

    Tell us the workflow, systems, and what good looks like in 60–90 days. Leave secrets and raw data out of the form.

  2. 2

    20-min discussion

    We map Scout → Fortress → Elite to your constraints and confirm seat fit.

  3. 3

    Scope + terms

    We lock data boundary, acceptance checks, pilot window, preferential pricing, and feedback rhythm.

Ready to talk about one real workflow?

Apply for a design partner seat, or book a short technical discussion if you want to explore fit first.

Evidence Results

Context Engine turns item histories into JSON the model can explain.

Privacy-safe synthetic examples backed by real validation paths. Open each card to see the data items, attribution path, similar relationship sets, top examples, confidence, JSON recommendation, and next task.

KynticAI Result
B2B SaaS

Synthetic SaaS scenario - enquiry, web search, product interest, CRM, outcome

Recommend the next task

testname@test.com has just sent an enquiry, searched page A, and shown interest in product B. Similar converted journeys had the same three signals before a focused follow-up.
KynticAI Result
Ecommerce

Synthetic abandoned basket scenario - product, support, billing, outcome

Recover the basket with evidence

Medium-value basket, sizing-guide search, commercial-intent page visit, one payment failure, and a support question match baskets recovered after help-first outreach rather than discount-first outreach.
KynticAI Result
Support Retention

Synthetic B2B support scenario - ticket, usage, account, billing, renewal outcome

Prevent churn pressure

API-latency ticket is open, usage dropped 29%, billing is active, the CRM sponsor is engaged, and similar saved accounts recovered after senior technical response plus owner call.