UTC,9:09 PM

0 wk to 4d

Cohort setup time

0 %

Student questions answered automatically

0 x

Mentor utilization

Synapse

EDU Web 3

We automated enrollment, mentor matching, and cohort operations for a project-based online tech school.

Year

2026

Industry

Education Technology

SERVICE USED

AI Automation, AI Workflow Analysis

Challenge

Enrollment, mentor scheduling, and student support were handled by hand — organizing a single cohort could take three weeks.

(qtf® — the problem)

Inventory decisions were made manually across disconnected systems, causing inefficiencies, delayed restocking, and inconsistent product availability as demand fluctuated across locations.

Play

Operational Overview

1:42 min overview

(qtf® — solution)

Cohort operations built for live learning


EDU Web 3 teaches software engineering, data and AI, security, and creative technology through live, mentor-led, project-based courses across Foundation, Applied, and Expert tracks.

Enrollment, mentor scheduling, and student support were all handled by hand. Organizing a single cohort could take three weeks, creating a bottleneck before students ever reached their first session.

We automated application processing, then matched students and mentors by specialty and availability. Cohort scheduling now follows a repeatable operating flow instead of being rebuilt around every intake.

First-line support is handled automatically for routine questions, while the program team keeps control of the exceptions that need a human response. The result is a faster path from application to a live, properly matched learning experience.

(qtf® — Technology Stacks)

Cogni

MindX

Pulse

GridX

NovaA

(qtf® — client review)

Organizing a cohort used to take us three weeks. Students now go from application to their first live session in days, with the right mentor attached automatically.

A man looks left

Amara Diallo

Director of Programs

0 wk to 4d

Cohort setup time

0 %

Student questions answered automatically

0 x

Mentor utilization

Synapse

EDU Web 3

We automated enrollment, mentor matching, and cohort operations for a project-based online tech school.

Year

2026

Industry

Education Technology

SERVICE USED

AI Automation, AI Workflow Analysis

Challenge

Enrollment, mentor scheduling, and student support were handled by hand — organizing a single cohort could take three weeks.

(qtf® — the problem)

Inventory decisions were made manually across disconnected systems, causing inefficiencies, delayed restocking, and inconsistent product availability as demand fluctuated across locations.

Play

Operational Overview

1:42 min overview

(qtf® — solution)

Cohort operations built for live learning


EDU Web 3 teaches software engineering, data and AI, security, and creative technology through live, mentor-led, project-based courses across Foundation, Applied, and Expert tracks.

Enrollment, mentor scheduling, and student support were all handled by hand. Organizing a single cohort could take three weeks, creating a bottleneck before students ever reached their first session.

We automated application processing, then matched students and mentors by specialty and availability. Cohort scheduling now follows a repeatable operating flow instead of being rebuilt around every intake.

First-line support is handled automatically for routine questions, while the program team keeps control of the exceptions that need a human response. The result is a faster path from application to a live, properly matched learning experience.

(qtf® — Technology Stacks)

Cogni

MindX

Pulse

GridX

NovaA

(qtf® — client review)

Organizing a cohort used to take us three weeks. Students now go from application to their first live session in days, with the right mentor attached automatically.

A man looks left

Amara Diallo

Director of Programs

0 wk to 4d

Cohort setup time

0 %

Student questions answered automatically

Synapse

EDU Web 3

We automated enrollment, mentor matching, and cohort operations for a project-based online tech school.

Year

2026

Industry

Education Technology

SERVICE USED

AI Automation, AI Workflow Analysis

Challenge

Enrollment, mentor scheduling, and student support were handled by hand — organizing a single cohort could take three weeks.

(qtf® — the problem)

Inventory decisions were made manually across disconnected systems, causing inefficiencies, delayed restocking, and inconsistent product availability as demand fluctuated across locations.

Play

Operational Overview

1:42 min overview

(qtf® — solution)

Cohort operations built for live learning


EDU Web 3 teaches software engineering, data and AI, security, and creative technology through live, mentor-led, project-based courses across Foundation, Applied, and Expert tracks.

Enrollment, mentor scheduling, and student support were all handled by hand. Organizing a single cohort could take three weeks, creating a bottleneck before students ever reached their first session.

We automated application processing, then matched students and mentors by specialty and availability. Cohort scheduling now follows a repeatable operating flow instead of being rebuilt around every intake.

First-line support is handled automatically for routine questions, while the program team keeps control of the exceptions that need a human response. The result is a faster path from application to a live, properly matched learning experience.

(qtf® — Technology Stacks)

Cogni

MindX

Pulse

GridX

NovaA

(qtf® — client review)

Organizing a cohort used to take us three weeks. Students now go from application to their first live session in days, with the right mentor attached automatically.

A man looks left

Amara Diallo

Director of Programs

0 wk to 4d

Cohort setup time

0 %

Student questions answered automatically

0 x

Mentor utilization

Synapse

EDU Web 3

We automated enrollment, mentor matching, and cohort operations for a project-based online tech school.

Year

2026

Industry

Education Technology

SERVICE USED

AI Automation, AI Workflow Analysis

Challenge

Enrollment, mentor scheduling, and student support were handled by hand — organizing a single cohort could take three weeks.

(qtf® — the problem)

Inventory decisions were made manually across disconnected systems, causing inefficiencies, delayed restocking, and inconsistent product availability as demand fluctuated across locations.

Play

Operational Overview

1:42 min overview

(qtf® — solution)

Cohort operations built for live learning


EDU Web 3 teaches software engineering, data and AI, security, and creative technology through live, mentor-led, project-based courses across Foundation, Applied, and Expert tracks.

Enrollment, mentor scheduling, and student support were all handled by hand. Organizing a single cohort could take three weeks, creating a bottleneck before students ever reached their first session.

We automated application processing, then matched students and mentors by specialty and availability. Cohort scheduling now follows a repeatable operating flow instead of being rebuilt around every intake.

First-line support is handled automatically for routine questions, while the program team keeps control of the exceptions that need a human response. The result is a faster path from application to a live, properly matched learning experience.

(qtf® — Technology Stacks)

Cogni

MindX

Pulse

GridX

NovaA

(qtf® — client review)

Organizing a cohort used to take us three weeks. Students now go from application to their first live session in days, with the right mentor attached automatically.

A man looks left

Amara Diallo

Director of Programs

VALUES  VISION  BELIEF VALUES  VISION  BELIEF 
VALUES  VISION  BELIEF VALUES  VISION  BELIEF 

(qtf® — 15)

OUR PRINCIPLES

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We design AI systems that improve real work —
not just demonstrate technology.

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We’ll review your workflows, identify AI opportunities, and outline a clear path forward.

We’ll review your workflows, identify where AI can create impact, and outline
a clear path forward.

No preparation needed — we’ll guide the conversation
and focus on what matters.

No preparation needed — we’ll guide the conversation and focus on what matters.

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40+ clients

4.9/5

1.5k reviews on Clutch

1.5k reviews

(qtf® — FINAL)

Closing Frame

Built Right

AI systems designed for clarity, reliability, and real
operational environments — not just experiments.

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KS Ventures designs and deploys AI automation for growing companies — with deep expertise in telehealth workflows and executive search.

Konrad Sudyka Ventures LLC — AI automation consulting for growing companies.

(qtf® — FINAL)

Closing Frame

Built Right

AI systems designed for clarity, reliability, and real
operational environments — not just experiments.

Home
About us
Case Studies
Contact Us

Socials

001.

FACEBOOK

002.

X/TWITTER

003.

LINKEDIN

004.

YOUTUBE

Legal

001.

PRIVACY POLICY

002.

LEGAL ENTITY

003.

TERMS OF SERVICE

Konrad Sudyka Ventures LLC — AI automation consulting for growing companies.