Thought Industries launches Lens AI knowledge platform

Thought Industries has launched Lens, an AI product designed to govern customer and product knowledge across enterprise systems. The launch also expands the company's offering into what it calls a Customer Knowledge AI Platform.

The product is intended to address a common problem: product and customer information often sits across separate tools, teams and repositories. Lens connects those existing sources without requiring content to be moved, then uses AI agents to identify contradictions, reconcile conflicting material and apply governance rules before information is shown to customers or used by AI agents.

The platform is built around a governed AI knowledge layer designed to determine which information can be trusted. That layer is intended to work across systems businesses already use, including learning platforms, product documentation, help centres and blogs.

Lens is being introduced alongside Thought Industries Academy, and together they form the broader platform. The aim is to provide guidance in different settings, including inside products, in training environments, through support channels, on the web and in external AI tools.

Businesses have been trying to make use of AI systems that can answer questions or complete tasks, but the usefulness of those systems depends on the quality and consistency of the information they draw on. Thought Industries is positioning Lens as a way to reduce the risk of customers or automated agents receiving different answers from different sources.

Irana Wasti, Chief Executive Officer of Thought Industries, said the issue is becoming more urgent as AI agents take on a larger role in customer interactions.

"AI agents are only as smart as the context behind them. When every agent is working from a different version of product knowledge, they can simply spread wrong answers faster," said Wasti.

"AI made answers abundant. Now the problem is knowing what to trust when the sources don't agree. Search and retrieval alone can find information, but they don't resolve conflicts between sources. Our Customer Knowledge AI Platform does. When customers get what they need to succeed with a product, they use more, buy more and stay longer," said Wasti.

How it works

Lens starts by connecting to existing knowledge sources, leaving that material in place rather than migrating it into a new repository. Its knowledge agents then work across three areas: what a business knows about its customers, what customers need to know about a product, and what can be learned from the questions customers ask.

According to Thought Industries, the agents surface contradictions and help keep guidance current as products change. Users can also set governance rules in plain language, which Lens then applies when determining what information should be surfaced.

The product is also intended to support actions beyond answering questions. Lens can provide guidance in different formats, ranging from a short reply or walkthrough to a video or deeper learning material, and its agents can complete workflows.

Each question and interaction also feeds back into the knowledge layer, creating a record of where customers encounter problems, where information gaps exist and how well answers are working. That feedback loop is intended to improve the relevance of later responses.

Customer use

The Linux Foundation is among the early users cited by Thought Industries.

"Often the information a user is searching for lives in different systems, not just our courseware," said Clyde Seepersad, Senior Vice President & General Manager, Education at The Linux Foundation.

"We're excited to put Lens to work. It will bring that knowledge together and make it useful wherever our customers are looking for help, including through AI. Most importantly, we maintain control over the information being surfaced while also learning from the questions customers are asking. That gives us a much clearer picture of what customers need, where they're getting stuck and how we can help them get more value from our products," said Seepersad.

The launch reflects a broader shift in enterprise software as companies look beyond search and retrieval tools towards systems that can govern data quality before AI-generated responses are delivered. The issue has drawn more attention as AI tools move from information support into workflow execution, raising the stakes when underlying knowledge is out of date or contradictory.

Lens is available in beta.