Nigerian software engineer and developer relations, Ekene Eze has launched Thally, an AI-powered software platform designed to help technology companies keep product documentation, websites, support resources and other customer-facing information accurate as their products evolve.
Founded in 2026, as announced by the founder mid-September, the startup is addressing a growing challenge for software teams, which is keeping information about rapidly changing products consistent across the many platforms where customers and developers seek guidance.
Thally connects a company’s software repositories with its documentation and other customer-facing content, identifies the impact of product changes and prepares updates for affected materials.
“When a product change comes through, Thally works out what it means for users and traces the impact across those connected surfaces,” said Eze.
The platform then opens pull requests containing proposed updates and supporting evidence for teams to review and approve.
What is Thally and What Does It Do?
Thally is a technology platform designed to serve as a product knowledge layer for software companies, helping them maintain accurate and consistent information across the different channels customers use to understand their products.
Rather than treating documentation as a standalone resource, Thally connects product repositories with documentation sites, support platforms, websites, code examples and other customer-facing content.
When a software product changes, the platform analyses the change and determines which pieces of information could become outdated as a result.
According to Eze, Thally can identify situations where a single product modification affects several resources simultaneously.
“For example, changing an authentication flow could affect an API reference, a quickstart, a support article, and a code example in a blog post,” he said.
The platform is designed to help teams update these interconnected resources systematically.
The Problem Thally is Trying to Solve
The central problem Thally is targeting is the growing gap between how quickly software products change and how quickly the information explaining those products is updated.
A developer may modify an API, authentication process or product feature, but the change can easily be missed in an old support article, tutorial, website page or code example. Eze said his experience at Flutterwave, Netlify and LI.FI exposed him repeatedly to this challenge.
“Keeping documentation aligned with the product required a lot of investigation before any writing could begin,” he explained.
He described manually collecting product documents, reviewing Linear tickets, examining changelogs and code changes, and identifying every public resource requiring an update.
When information is missed, customers can follow obsolete instructions, while AI tools may also discover and reproduce outdated technical guidance, potentially resulting in broken integrations and additional support demands.
How Does Thally Work?
Thally works by connecting a software team’s product repositories with the customer-facing content the company wants the platform to maintain.
Once those connections are established, changes made to the product can be examined for their potential impact on publicly available information. Thally then traces the affected documentation and prepares proposed updates in the form of pull requests.
These proposals contain completed changes and the evidence supporting them, allowing members of the software team to inspect where the information originated, modify the proposed updates and approve them before publication.
This approach leaves the final decision with the product team rather than allowing automated changes to be published without human oversight.
Eze said Thally “finds and updates the affected connected content,” meaning that a change made in one part of a product can trigger a review of multiple related resources.
Thally’s Documentation and AI Capabilities
Beyond its product-change tracking capabilities, Thally also functions as a documentation platform with several features intended to help software companies publish and manage technical information.
These include search, custom domains, versioned deployments and rollbacks, while the platform also provides AI assistants. The company says its documentation can be consumed by both humans and AI-powered tools.
According to Eze, “The same documentation can be read by people in a browser or accessed by AI tools through Markdown, JSON, and MCP.”
This capability reflects the changing way developers and customers access technical information. As AI coding assistants increasingly rely on online documentation and other publicly available technical resources, maintaining accurate information becomes more important.
Thally’s approach therefore seeks to ensure that information available to both human developers and AI systems remains connected to the current state of a software product.
From Personal Experience to a Global Product
Thally’s development emerged from Eze’s professional experience working in developer experience rather than from a purely theoretical assessment of the documentation market.
Although he had considered the idea for some time, he officially began working on the startup in March. The company released a beta version in August before launching publicly in September 2026.
Eze said Hackmamba.io, Procta.org and LI.FI participated in the beta as design partners and helped the team test and refine the product.
The startup is fully bootstrapped and has already attracted users across multiple regions, including the United States, Europe, India, the Middle East and Africa.
Thally currently operates a business model combining an open-source documentation engine with paid cloud subscriptions, positioning the startup to generate revenue from teams that require hosted documentation and additional cloud-based capabilities.
Early Traction and Thally’s Business Model
Although Thally is still at an early stage, the startup says it has recorded encouraging initial adoption following its public launch. Eze disclosed that the platform has more than 100 active workspaces, while at least another 100 workspaces are currently using its 14-day free trial.
The distinction is significant because trial users have not necessarily converted into paying customers.
“That is an encouraging early signal,” Eze said.
He added that the company hopes to convert the trial users into paid subscribers as teams experience the value of maintaining their product knowledge through Thally.
The startup’s global user base and bootstrapped structure provide an early foundation for its commercial ambitions.
However, its longer-term growth will depend on whether software teams consider automated documentation maintenance sufficiently valuable to pay for continuously, particularly as competing documentation and developer-experience tools continue to evolve.
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