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Aisepedia
All-in-one product marketing


Happy Monday.
We had an incredible group of founders join us in SF last week, hosting alongside our partners at Fidelity Private Shares and Lightfield.

Wednesday’s founder dinner
Henri Liriani, co-founder of Lightfield, was there as a surprise guest and shared his founder story during the evening (including pivoting from his last company, Tome).
Stay tuned for more programming coming up in February!




Aisepedia is building a product marketing platform that combines core marketing functions such as market research, segmentation, positioning, messaging, and enablement. Designed specifically for B2B product marketing managers, Aisepedia serves as the first dedicated Product Marketing Environment. Using this environment, the entire process from start (research and data sourcing) to finish (presentation and positioning) is transformed into a single cohesive workflow.
Check it out: aisepedia.com


The Aisepedia team is considering a usage-based model for its platform. Companies would pay for credits that can be used for different features, allowing pricing to scale with value generation.

Raised close to $1 million in pre-seed funding
Launched its product to 100 beta testers in January 2026
Working with 13 design partners, including Treasure Data, a data management and customer data platform; SmartBear, a developer of quality code tooling; and Centivo, an affordable healthcare company

The team is currently offering beta testing for its product!


Vishwa Vijoyendra Narayan comes from a family of entrepreneurs. After completing his education in electronics and communications engineering at Motilal Nehru National Institute Of Technology, and later receiving a post graduate diploma in management from IIT Bangalore, he pursued a career in investment banking. However, given that the idea of building something of his own was ingrained in him from a young age, and his newly acquired technical background, he found himself leaving IB for entrepreneurship.
In 2016, Narayan launched his first company, EnCloudEn. With a goal of helping businesses run their IT systems more easily, its core product combined servers, storage, and networking into one system with the goal of making it easier for companies to manage private clouds and virtual machines. In 2021, EnCloudEn was acquired by Quantam, a NASDAQ-listed tech company with a mission to make video and other unstructured data smarter.
During his time at EnCloudEn, Narayan worked with product management and marketing. He noticed companies had difficulty viewing their product through the lens of their customers. Putting himself in the buyer’s shoes, and applying a similar, all-in-one approach he used with EnCloudEn, Narayan found inspiration for Aisepedia.

With Aisepedia, one platform is needed to go from research to content creation, replacing the mess of countless tabs. A product manager looking to understand a new product or competitor can simply enter a URL and Aisepedia will extract its core features and benefits. From there, the platform conducts industry research and creates audience segments. Using these segments, artifacts are created with information critical for GTM strategy, sales and marketing collateral, and ICP guides. For PMMs, Aisepedia is a cleaner, more organized alternative to raw research and brainstorming that allows them to find distinct avenues and angles for their product.
Traditionally, PMMs sit on mountains of unstructured data in the forms of PDFs and slide decks. Their job typically means spending more time searching for information rather than actually using it. After a project, these PDFs are rarely updated, typically sitting in a folder never to be used again. With a PME, the data is continuously updated and easy to find. With this time back and up-to-date information, PMMs can better connect with their customers, seeing precisely how individual ICP segments think and helping them understand what customers want.

A snapshot of Aisepedia’s segment builder
In addition to research, Aisepedia helps with content creation. It uses AI to generate blogs and marketing for large audiences. Having the help of the platform enables PMMs to create copy that resonates directly with audiences. It also translates into new angles and better positioning for their ICP, faster.
Product marketing is expected to reach $32.84 billion in market size by 2030, up from $11.49 billion valuation in 2023. By supporting PMMs through research to content creation all on one platform, Aisepedia is positioned to grow alongside this market, putting it on a path to become a Unicorn.


ICYMI: We recently announced our official investor syndicate. Check out the announcement post for more details on how to invest in our deals.
Is this week's company a future unicorn? |


