Your Best Competitive Intelligence Is Already Inside Your Company

01 /The Concept

The best competitive intelligence in most companies already exists – it's just stuck inside the heads of the people who talk to customers and competitors every day. Groopit is built to surface it.

Decision-makers can push targeted surveys to specific employee groups – asking, for example, what frontline staff think are the strengths and weaknesses of key competitors. Surveys can reach everyone or be scoped to particular departments or roles, and they distribute through Teams, Slack, the Groopit app, or an embedded link on an internal portal.

The platform ships with a template library covering common use cases: new product feedback, product ideas, customer complaints, objections encountered in sales conversations, competitive intelligence on products, pricing, and campaigns. Templates can be edited, cloned, or built from scratch and saved for reuse.

Responses from all channels feed into a unified stream. Administrators can configure real-time publishing to a Slack channel or intranet feed so the broader organization stays looped in on what's being asked and what colleagues are saying.

The main dashboard aggregates results per survey: ranked response options, quantified metrics, trending themes. A particularly useful feature lets admins isolate responses that sit as outliers from the consensus – because those edge-case opinions often contain the most valuable signals.

Dashboard layouts are configurable per survey so results display in the most useful format. Shareable links let colleagues reference specific data sets directly.

Groopit integrates with major enterprise platforms for SSO, data access controls, and audience segmentation.

Pricing starts at $12K/year for companies under 500 employees (Salesforce integration bumps this to $27K). Companies with 500+ employees pay $45K/year with Salesforce included.

Don't assume the target customer is a technology company with unusually opinionated staff. Some of Groopit's largest clients are brick-and-mortar retail chains selling home goods and specialty food.

Groopit is targeting $1M ARR by next year.

The current round raised $7.5M, bringing total investment in the project to $10.8M.

02 /Why It Matters

Like most startups raising right now, Groopit is framing its new round around AI capabilities – specifically using free-text response collection analyzed and summarized by AI, which produces richer insights than selecting from predetermined answer options.

The company has been operating since 2018, with all rounds prior to 2021 classified as pre-seed. Even the current rounds are still technically seed-stage. An ARR target of $1M might seem modest for a company this old.

But the fact that Groopit closed two rounds this year – $6.2M in March and $3.5M now – suggests investor interest has accelerated. That likely reflects meaningful uptick in enterprise demand for the platform.

Groopit has coined the category name "crowdsolving" – drawing on the logic of crowdfunding and crowdsourcing but applied to internal problem-solving. Collective intelligence harnessed not from the public but from a company's own workforce.

The current implementation – send a survey, collect responses, analyze in aggregate – is relatively simple compared to the concept's ambitions. But the concept itself is sound.

The underlying shift is this: historically, decisions in companies were made centrally by designated decision-makers. The inputs those people received were limited to what they could see and hear directly. Crowdsolving challenges that model – not by decentralizing decisions, but by widening the information that feeds into them.

There's a structural reason this matters more now than it did five years ago: remote work broke the informal information networks that used to exist in offices. The hallway conversation, the lunch discussion, the overheard debate – all gone. That spontaneous upward flow of frontline knowledge has been severed.

The irony is that remote work also forced companies to extend more trust to employees by necessity. You can't micromanage someone who works from home without burning an unreasonable amount of management bandwidth. So you either trust them to perform or you replace them. Which means you might as well start leveraging their judgment, not just their output.

A [recent review](/review/rynok-gde-za-2-goda-mozhno-stat-milliardnoj-kompaniej) touched on Zip – a corporate procurement platform that hit unicorn status in two years by putting purchasing requests in employees' hands rather than a dedicated procurement department. Same underlying trend.

Several other startups are operating in this same lane:

- Beatrust. A platform that helps employees find colleagues who can help them – by knowledge, skill, or relevant experience. Raised $9.1M.

- Elqano. A similar platform connecting "employees who have questions with colleagues who have answers." Raised €900K.

- Upduo. A peer-learning platform where employees teach each other. Raised $4M.

03 /Opportunities

The direction is clear: platforms that pull employees more actively into the loop on company challenges – across functions, levels, and topics.

There are many possible mechanics. Groopit's survey approach is one. The examples above cover several others.

A useful creative exercise: take engagement tactics that already work for consumers and ask whether the same mechanic could work for employees. Workshop, [covered previously](/review/ofisnyj-rab-ili-klient), did exactly this – they built an email marketing platform but for internal employee communications instead of external customers. Raised $8.7M.

So: how would you get employees more engaged? And where does AI fit in – because without an AI angle, raising capital for this category is going to be a harder sell.