About Sharpr

Somewhere in your organization, right now, someone is typing a message that starts with "Do we have anything on..."

Three people will reply that they think so. One will forward a deck from two years ago. Another will mention a folder on a drive whose name nobody can quite recall. And a fifth person, who has a budget and a deadline, will quietly commission a new study, because starting from scratch is faster than searching.

We have been watching that scene play out inside large organizations since 2011. It is the reason Sharpr exists. The information companies already own goes missing at exactly the moment it would have changed a decision.

What we do

Sharpr is a purpose-built knowledge management platform and enterprise knowledge base. Teams use it to capture what the organization knows, surface the right piece when someone needs it, and push insight to people who are never going to log in and go looking.

That is the whole product in three verbs: capture, surface, engage. Everything else is detail underneath.

Capture means a reliable home for reports, decks, PDFs, videos, transcripts, spreadsheets, images, syndicated research, and the article somebody spotted on their phone this morning. Surface means GenAI search that returns findings, plus auto-generated headlines, summaries, and tags applied as content lands. Engage means briefs, newsletters, and alerts that arrive in an inbox on a schedule, so the value of your research does not depend on someone's willingness to open another tool.

Why we did not build a wiki

There were already plenty of wikis in 2011, and there are more now. There were also file stores, intranets, and productivity suites with search boxes attached. None of them were designed for the specific problem we cared about.

A file store tells you a document exists. A wiki tells you what somebody wrote down about a topic on the day they had time to write it down. Neither one tells you what your organization concluded, who has already looked at it, or whether the study you are about to fund was run eighteen months ago by a sister business unit.

That gap is a knowledge problem, and knowledge is what we build for.

What we believe

Findability beats storage. The number of documents in a system is a vanity metric. The number of decisions that were made faster because someone found the right one is the real number. We optimize for the second.

Adoption is a product problem. Every knowledge platform that has ever failed did so because busy people would not change their habits. We do not think you can train your way out of that. So we built a push side into the product, and we assume from the start that a meaningful share of your audience will never search for anything.

The best research is the research you already paid for. Most organizations we meet are spending real money to re-answer questions they answered last year. Our first job is to stop that.

Analytics should make budgets defensible. If you cannot show who used a syndicated subscription, you cannot defend it at renewal. Sharpr reports on which content gets used, by whom, and how often, which turns a renewal conversation from a debate into a data pull.

Security is a prerequisite. We do not think you should be impressed that we encrypt data. We think you should be able to hand our security page to your third party risk team and move on with your day.

Who we build for

Sharpr tends to be owned by one team and used by many. Here is what that looks like across the roles we see most.

Insights and market research leaders own the library and usually bring us in. Their problem is that the work is excellent and invisible. A study lands, ten people read it, and six months later a product team reruns half of it because nobody knew it existed. In Sharpr, that study gets an auto-generated headline and summary, gets tagged, becomes searchable, and goes out in a monthly newsletter to the business units that should care. Then the analytics show who opened it, which is the first time many insights leaders have been able to answer the question "is anyone using this?" with evidence.

Chiefs of staff and executive offices live in the gap between departments. The CEO asks in a hallway what the company knows about a segment, and the answer sits across four teams. A Sharpr hub for the executive office pulls the research, the competitive analysis, and the strategy work into one place, so board pre-reads get built from primary sources rather than from recycled slides. When a director asks where a number came from, it links back to the underlying report.

Competitive intelligence teams are the heaviest users of Sharp It, our browser tool for capturing anything on the web in one click. A competitor pricing page, an earnings transcript, a trade press piece, a job listing that reveals a new product direction. It lands in the hub with tags and a summary, joins everything else already there, and turns into an alert for the deal teams who need it. The point is that the collection becomes searchable and shared instead of dying in a personal bookmarks folder.

Marketing and brand teams usually arrive as consumers and become contributors. They need the segmentation work, the message testing, the campaign post mortems, and the customer verbatims, and they need them the week before a brief is due, not a month later. A curated hub plus a scheduled brief solves most of that. The agency partner question tends to resolve itself too, because permissions let you give an outside team access to exactly one hub and nothing else.

UX and product researchers fight a specific version of this problem. Their output is often video, transcripts, and session notes, which are the hardest content types to search and the easiest to lose. Sharpr indexes them alongside everything else, so a product manager asking whether anyone has tested a checkout flow gets the answer from the study that already exists rather than from a new round of interviews.

Strategy and corporate development teams use it as institutional memory. When a market gets revisited two years later, the market sizing, the appetite analysis, and the reasoning behind the original decision are all intact, which shortens diligence and makes the second look sharper than the first.

What we are not

We are not a general collaboration suite, and we are not trying to become one. We do not want to be where your team edits documents together, runs projects, or chats. Those tools exist and most of you already pay for them.

We are also not a dashboard. If your problem is that your structured data is hard to visualize, that is a different category of software and you should buy that instead.

What we are is the system your organization uses to find what it already knows, trust it, and act on it. That is a narrower job than most platforms claim, and we would rather do it well.

How we work with you

Every customer gets a dedicated customer experience manager: somebody who knows your rollout, your hubs, and your internal politics.

If your knowledge currently lives in SharePoint, a legacy insights portal, Box, Google Drive, or ten years of folders on a server, we migrate it at no cost. Data, structure, users, permissions, and archives. We organize it as it lands so your first week in the platform is useful rather than a cleanup project.

Training is built for your groups rather than delivered as one generic walkthrough, because what a research director needs to learn and what a marketing VP needs to learn have almost nothing in common.

Who uses us

AAA, AARP, ADT, Asahi, BD, Clorox, DISH, Estée Lauder, Helly Hansen, Highmark Health, Instacart, Mastercard, Nestlé, Nespresso, Pacific Life, PayPal, PNC, Purina, Rheem, Spotify, Starbucks, Target, Travelers, Ulta, Warner Bros. Discovery, WGSN, Xero, and Zillow, among others.

They are in financial services, entertainment, consumer goods, healthcare, retail, and manufacturing. What they share is a dependence on institutional knowledge that got too big for folders.

Where we come from

Sharpr was founded in 2011 and has been doing one thing ever since. The platform is patent protected under US Patent #9064234. We are part of Dynata, which gives our customers a connection to one of the larger first party data sources in the world, though Sharpr remains its own product with its own roadmap.

Fifteen years in a single category means we have watched a lot of knowledge initiatives succeed and fail. Most of what we believe on this page came from the failures.

Come test it on a real question

The fastest way to evaluate us: pick a question your team struggled to answer last quarter, bring it to a demo, and let us show you what finding the answer would have looked like.

Request a demo and bring the hard one.