AI-NATIVE BUSINESS CONSULTING & TECHNOLOGY

Connect people, AI,
and the systems that run the business.

NeoAistriq helps growing businesses improve customer growth and operations by redesigning workflows, connecting trusted systems, and building AI-enabled experiences with clear human oversight.

Principal-led consulting and engineering. We combine experienced human judgment with the right technology for your business.

Principal-led delivery · Built and operated inside Fractal KX · Frisco, TX

PLATFORM PARTNERSHIPS

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OpenAI Select Partner

OpenAI Select Partner for AI adoption, conversational experiences, AI-native engineering, and governed deployment.

About the OpenAI Partner Network

CONVERSATIONAL EXPERIENCE

The next interface to business systems may be a conversation.

We design experiences where customers, employees, partners, and operators can express intent through text, voice, images, video, documents, and other context while governed AI coordinates the approved systems, tools, and workflows required to act.

Text · Voice · Image · Video · Documents · Events

Intent + Context → Reasoning → Governance → Action → System of Record

Explore the point of view

WHAT WE DO

Start with the business problem.

We design the operating change and build the systems behind it. Each engagement has a defined owner, scope, and measure of success. The right solution may be a better process, a connected application, conventional automation, or AI. We recommend what fits.

01

AI Adoption & Operations

AI interest is high, but the right business problem, approach, and boundary are unclear.

Decide where AI is useful, what to configure or integrate, what to build, and what not to automate.

Explore

02

Customer Growth & Operations

Customer context and follow-up get lost between teams and systems.

Improve acquisition, service, and retention through better journeys, CRM processes, and connected action.

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03

Agentic Operations

People still move requests, approvals, and decisions between tools by hand.

Redesign work and build agents that act within clear permissions, human checkpoints, and measurable outcomes.

Explore

04

Product & AI Engineering

Your customers or team need an experience that existing software cannot provide.

Build connected apps, cloud foundations, and integrations around the systems you already trust.

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THE EVIDENCE, PLAINLY

What we can actually point at today.

We label every example by evidence type: production work, reference architecture, or a system we operate ourselves. That keeps early evidence useful without overstating it.

See selected work and designs →

Operated venture · in production

Community-to-CRM, running live at XP League Frisco.

XP League Frisco runs this community-to-CRM architecture in production. It reduces repetitive administration and returns staff attention to coaching.

Reference architectures

Reference architectures we can describe

Patterns for routing customer signals to account owners and designing governed cross-system work. These are reference architectures, not attributed client outcomes.

Reference pattern · clearly labelled

Engineering system

AI-native delivery system

We use repository-level sources of truth, AI-assisted engineering, automated tests, release gates, and human review across products and systems we build and operate.

Internal operating proof · governed delivery

Portfolio products

Fractal KX product portfolio

NeoAistriq builds products inside Fractal KX across enrollment and customer operations, identity, competition, learning, performance, and community intelligence: Arena ID (Live), Blueslate (Public product), PlayDen (Live), GG Life (Controlled launch), Project Lattice (Founding pilots), Signalisys (Beta).

Current stage shown beside each product

INDUSTRY CONTEXT

Where we have a useful perspective.

Professional & Technology Services

Client growth, proposals, knowledge, and delivery handoffs.

See the context

Education & Membership

Enrollment, participation, support, and retention.

See the context

SaaS & Digital Products

Onboarding, product signals, service, and expansion.

See the context

Gaming & Esports

Identity, community, competition, learning, and operations.

See the context

NEXT STEP

Discuss the workflow that should work better.

Tell us your goal, the teams and systems involved, and what a useful result would look like. We will suggest a practical next step.

Find your starting point