What's new

Updates and improvements to Maester

2025

Date

Title

Description

2024

September 9

Early release

Released an optimized user interface that enables users to easily navigate and query their data without technical knowledge.

July 1

Full product revamp [major release]

Major upgrade released, which included: considerably faster response times (on average 60% faster than previous versions, UI improvements, 21 new data sources, and other creature comforts (chart and table enhancements, etc.)

June 15

Introducing Data source-level context [new feature]

May 30

Introducing Company Key Words [new feature]

Customers can now share their custom, internal terminology with Maester for analysis purposes. As a result.

April 10

Introducing automated s. elf-improvement [new feature / major release]

Maester now improves and becomes more tuned to our customers’ needs, automatically, based on user feedback. As a result, Maester becomes more akin to an “AI employee” than ever before – becoming more and more familiar with your business over time.

March 20

Introducing new front end and Google integration [new feature / major release]

We rolled out an entirely new front end and UI/UX, which proved to be a major upgrade from our previous UI. We also introduced a Google Sheets integration.

March 1

Introducing charts [new feature]

We released functionality to generate virtually any type of chart using Maester using our users’ color preferences.

February 1

Introducing Maester MVP [major release]

We released our MVP → a fully functional application with a new UI and multiple features including:

  • HubSpot integration: in < 5 minutes, users could connect their HubSpot accounts and perform analysis on it.
  • Upload files: connect any spreadsheet to Maester
  • Context: add context on your role, your data, etc. so Maester can take your organization’s priorities into account.

2023

October

Introducing Maester AI prototype

Perform analysis on any uploaded data

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September

Introducing Maester POC

This version of Maester only ran locally, but gave us all the information we needed to keep pushing forward 💪

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