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Data Lab & Maia Present: AI Data Hive: Cape Town #1

The AI Data Hive is landing in South Africa!

We’re kicking off our very first Cape Town edition to bring together the local tech community for an evening focused on the practical future of AI and data.

Co-hosted with Data Lab, this hands-on session dives straight into how Maia plans, builds, and manages autonomous data pipelines—and how to eliminate the manual backlogs holding your AI ambitions back. Whether you're an engineer, analyst, or leader looking to discover, build, and scale, join us for an evening of fresh perspectives, live insights, and low-pressure networking with local peers.

Event details:

Date: Wednesday 21st October, 2026
Time: 5:30 PM – 7:30 PM
Address: 32 Kloof St, Gardens, Cape Town, 8000, South Africa

Reserve Your Seat
Attendance is limited. A member of the Matillion team will confirm your registration.

Reserve your spot

Maia is the data team that runs in your architecture.

Four capabilities have launched. Maia now knows your naming conventions, architecture standards, migration backlog, and team’s exact patterns.

Who Should Attend

Data enthusiasts, developers, and AI enthusiasts. Product managers and tech leaders looking to integrate AI solutions.

Anyone in the Cape Town tech ecosystem eager to stay ahead of the curve.

What to Expect

The Discussions: Practical insights and live demonstrations showing how autonomous pipelines can clear your current workload.
The Networking: Connect with fellow tech professionals across the Cape Town ecosystem in an informal, welcoming space.

Maia Foundation

AI Data Automation starts here.

Maia Foundation is the cloud-scale platform that does what Matillion ETL does today, with the architecture, performance, and governance to handle what's next. It's also the path to Maia Team — agentic data engineering built on the same foundation. You don't lose what you've built in ETL. You upgrade the platform underneath it.

Requirements & Logistics

Who should attend: Data Engineers, Platform Owners, and Architects. This session requires a baseline understanding of data integration.

What to bring: A laptop capable of connecting to Wi-Fi. Availability: Seats are strictly limited to ensure a focused, hands-on environment with personalised guidance from the instructors. By registering for this event, you agree that your registration information may be shared with Matillion and Vivanti Consulting Group for the purpose of event logistics and follow-up communications.

6 min

Per-pipeline migration, down from 1 week
Balfour Beatty · Mark Hume

1,300%

Efficiency gain in sentiment analysis operations
St. James’s Place

40,000

Human hours saved, 11 years of FTE effort
St. James’s Place · Kelly Maggs

Why now?

We're running 100 analyses across June and July. Slots are allocated first-come. If you want yours in June, request now.

[CT1] H1 Headline- Check our G2 Reviews

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What do you like best about Maia?
I cannot overstate the quality of maia for being picked up by new users. Between the UI and the integration with the ai, along with the low code pipelines and the simple layout of integration connectors, it makes the process of onboarding new members of the team really fast. In our team we have had a complete novice apprentice and somebody who has pivoted from doing data analysis but never done any engineering before. They have both been able to get up to speed and creating high quality data pipelines that are efficient and highly performant within a very short timeframe.
Review collected by and hosted on G2.com.

What do you dislike about Maia?
Maia (the ai part) could be expanded to make it really powerful by using information already within the platform such as execution times etc to enable real world optimisation of the pipelines based on lowering the run times which ultimately is what drives the cost.

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Reserve your seat

CEO keynote

From AI copilots to AI-executed production data engineering.

Discover why making the existing model of data engineering faster isn't the answer, and what changes when the system itself takes on the work, end-to-end, at scale. Our CEO, Matthew Scullion, speaks on the paradigm shift behind Maia, and what it means for your migration backlog and AI roadmap

Connect with Matthew

Most AI data tools generate code. Maia runs your data engineering.

Here's what you can expect to receive.

60-minute review session with a Matillion Solutions Architect
Commercial review with budget planning offers tailored to your renewal cycle and consumption profile
Written migration assessment for your environment
Timeline estimate calibrated to your footprint
Capability gain summary

Maia Foundation

AI Data Automation starts here.

SJP-1400x600-email-Stack_Explore Story.png

Lose Nothing on METL

Upgrade the platform beneath it.

Explore Maia Foundation

The Agentic Shift

PMG's move from METL to Maia

"METL was a very strong product, but Maia is the next step. We're going towards an agentic AI framework that will allow us to do multiple tasks at the same time." - Ammad Baig, Director of Data and AI Services, Precision Medicine Group

Read the Case Study

[CT7] Sign up for our workshops

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How it Works

A no-commitment, four-step process.

Sonoma Raceway

Sonoma, CA
Thursday, August 6
10:00 AM – 1:00 PM PT

Agenda
10:00 AM – Arrival & Check-In
10:15 AM – Driver Safety Briefing
10:50 AM – Driving Experience
11:30 AM – Executive Lunch & Discussion
1:00 PM – Experience Concludes

Schedule kickoff

Your Account Manager will reach out promptly to coordinate your Analysis.

Run analysis

A Solutions Architect will work with you to assess your environment.

Review analysis

We'll walk you through the findings and recommended next steps.

Request your Matillion ETL to Maia Analysis

[VIDEO] From Matillion to Maia

In this video, CEO Matthew Scullion shares the vision behind Maia and its breakthrough "Glass Box" architecture. Unlike black-box AI that operates on guesswork, Maia delivers fully validated, deterministic outputs—making it 4.5x more accurate than standard coding agents. Watch to see how we’re turning ten years of engineering experience into trusted, autonomous data automation.

Upcoming Experiences

Speaker Name

Speaker Title | Speaker Company

Matillion ETL has been your reliable backbone for years, built by data engineers to help human teams go faster. But as data demands skyrocket, faster tools aren't enough. That’s why we built Maia from the ground up. Rather than just another tool, Maia introduces 24/7 "digital labor" to automate the full data lifecycle and eliminate your team's capacity caps.

Meet the team

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Douglas Day

Director, Engineering | Datalab Solutions

Reza du Plooy

Director and Co-Owner | Datalab Solutions

Vishal Soni

Senior Solution Architect | Maia

Jesal Kansara

Enterprise Account Executive | Maia

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First Last

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Request Your Personalized Analysis

Sessions are limited, and allocated on a first-come, first-served basis.

Book Now

Reserve your spot

Who Should Attend

What to Expect

Maia Foundation

AI Data Automation starts here.

6 min

Per-pipeline migration, down from 1 weekBalfour Beatty · Mark Hume

1,300%

Efficiency gain in sentiment analysis operationsSt. James’s Place

40,000

Why now?

[CT1] H1 Headline- Check our G2 Reviews

H2 Headline

H3 Headline

[CT2] H1 Headline

H2 Headline

H3 Headline

[CT3] H1 Headline

H2 Headline - Making AI delivery predictable at enterprise scale

H3 Headline

Reserve your seat

CEO keynote

From AI copilots to AI-executed production data engineering.

Most AI data tools generate code. Maia runs your data engineering.

Here's what you can expect to receive.

Maia Foundation

AI Data Automation starts here.

Lose Nothing on METL

Upgrade the platform beneath it.

The Agentic Shift

PMG's move from METL to Maia

[CT7] Sign up for our workshops

[CT7] H2 Headline

H3 Headline

[CT7] H2 Headline

H3 Headline

[CT7] H2 Headline

H3 Headline

How it Works

A no-commitment, four-step process.

Sonoma Raceway

Schedule kickoff

Run analysis

Review analysis

Request your Matillion ETL to Maia Analysis

[VIDEO] From Matillion to Maia

Upcoming Experiences

Meet the team

Request Your Personalized Analysis

Per-pipeline migration, down from 1 week
Balfour Beatty · Mark Hume

Efficiency gain in sentiment analysis operations
St. James’s Place