Stackfix lets you filter B2B software by exact feature requirements – not category labels – so procurement becomes a search problem, not a research project.
ENTRY ANGLES
AI-driven software comparison platforms · RFP-style matching platforms · Hands-on sandbox experiences for software testing
VERTICALS
CAPABILITIES
AI/comparison technology, RFP matching and management, Sandbox environment infrastructure
Stackfix built a platform for quickly comparing B2B software products side-by-side before buying.
Right now the platform covers CRM, applicant tracking, customer support, marketing automation, project management, HR, and sales tools. The key feature: you don't have to compare everything in a category – you filter by required functionality or specific criteria, and the platform shows you only what actually qualifies. Each feature set has its own filter vocabulary tailored to that software type.
The output is a structured comparison table with feature-level breakdowns, pricing, and explanations of individual elements.
Unlike major software review platforms like G2 or Capterra, Stackfix doesn't allow vendors to pay for elevated placement in search results or comparisons. Revenue comes from selling vendors detailed test reports of their own products, plus affiliate commissions if a user purchases through a link in the comparison results. For buyers, the platform is free.
Stackfix also runs a newsletter tracking new B2B products and updates to existing ones.
The platform is in beta, but the startup says some companies that used it to evaluate tools have since spent over $500,000 each on the software they selected. Stackfix was founded last year and has now raised its first round: £2.4 million (approximately $3 million).
Conventional software review platforms like G2 and Capterra run on user opinions. The problem: user opinions are incomplete, emotionally inflected, and slow. Software moves fast. A bug that existed six months ago may be fixed. A feature that was missing may be shipping now. A review from even six months ago may describe a product that no longer exists in that form.
Stackfix's observation is sharp: humans are too slow, too inconsistent, and too subjective to produce reliable comparative data for something as high-stakes as enterprise software procurement.
The Stackfix approach: an AI system – supervised by in-house specialists – produces the actual reviews, which are then cross-validated against real user feedback gathered through structured interviews with experienced customers. This produces both completeness and objectivity. And because the process is machine-driven, every product can be re-reviewed at least once a month, keeping the data current.
The scale of the problem justifies the effort. On Capterra alone, there are over 2,000 CRM options. No company is going to have its team evaluate even a fraction of those. And the average company now runs more than 130 cloud services – roughly one per software category in use. The combinatorial complexity of keeping track of what's best across all those categories makes a dedicated comparison platform not just useful but necessary.
The independence and recency of Stackfix's reviews also enable a second revenue stream: charging vendors for ongoing competitive intelligence – knowing, in near real-time, how they stack up against alternatives. That business model lets Stackfix avoid the pay-to-rank model that other platforms depend on, which in turn protects its credibility with buyers.
Credibility is the moat. Companies spend $1 trillion per year on software. If Stackfix can become the trusted source for even a small percentage of those purchasing decisions, the business is enormous. But only if buyers believe the comparisons are honest.
Stackfix isn't alone in pursuing this. Sagetap ([related review](/review/ne-pomogaj-prodavat-luchshe-pomogi-pokupat)) raised $12.5 million for a platform where companies post detailed software requirements and vendors respond with qualifying product information. Olive ([related review](/review/obosnovannye-i-gorjachie)) raised $4.3 million on a similar request-for-information model. TestBox ([related review](/review/saas-dlja-prinjatija-reshenija-o-pokupke-saas)) raised $12.7 million for a different angle: an AI that populates a SaaS product with synthetic data resembling the buyer's own, so they can see exactly how the software would behave with their actual use case before committing.
The guiding principle of B2B sales has always been "don't sell – help them buy." Every platform covered here embodies that principle. And the reason companies use them is precisely because of it.
With $1 trillion in annual software spend, there's plenty of room to help buyers more and in more ways.
The opportunity space: platforms that assist companies in selecting enterprise software. That could mean AI-driven comparison platforms like Stackfix, RFP-style matching platforms like Sagetap and Olive, or hands-on sandbox experiences like TestBox. Or possibly all of the above, integrated.
The market is big, the paths in are multiple, and the business ceiling is genuinely high. The question is where to start – and then which direction to grow from there.