UTC,11:07 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

What are AI Agents?

12 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

What are AI Agents?

12 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

What are AI Agents?

12 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

What are AI Agents?

12 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

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

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

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.

X/TWITTER

002.

LINKEDIN

Legal

001.

PRIVACY POLICY

002.

LEGAL ENTITY

003.

TERMS OF SERVICE

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