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Michael Marelli, Founder of FilterSync by ResProof, has published a review on Clutch.  Michael rated AnyforSoft 5.0 across all categories: quality, schedule, cost, and willingness to refer. On NPS, Net Promoter Score, which is the likelihood of recommending a pa...

Selecting an open source LMS involves more than comparing feature lists. The platform you choose determines how much development your team takes on, how well the system connects to existing tools, and how quickly employees actually use it. Research from Brandon Hall Gro...

AnyforSoft will be attending HashtagHigherEdUK 2026, a dedicated forum for higher education marketing, communications and student recruitment professionals, taking place 14–15 April 2026 in Birmingham, UK. Our VP of Business Development, Vladyslav Zdravchev, will repres...

A company identifies a real training problem. Internal tools can’t handle the complexity, so the team evaluates custom LMS development and gets a quote somewhere between $150,000 and $300,000. The project stops there. That scenario is common. Budget estimates f...

Choosing an LMS pricing model is a strategic decision that shapes how training costs behave as an organization grows, restructures, or expands its learning programs.  While vendors set prices, the pricing model determines what triggers cost increases, how flexib...

You decide to install an LMS and find out that the quote doesn’t match the price you expected. The onboarding process is already moving, your team is involved, and switching platforms would disrupt work. This situation is possible because pricing details were unclear at the start. Careful study of LMS pricing before implementation helps teams avoid this trap. This article helps readers: understand how vendors structure LMS pricing see how user limits, feature tiers, and add‑on services affect total cost compare common pricing models across leading platforms identify factors that influence long‑term spend Let’s take a look at how LMS pricing models work and how to interpret the elements that shape each vendor’s approach.  This context will help you understand wha...

Every month, Bank of America’s AI assistant Erica handles more than 58 million client interactions. More than 98% of users find what they need without reaching a specialist, which frees the bank’s financial advisors to focus on conversations that actually re...

Higher education institutions struggle with retention. Without real-time data, faculty can’t identify at-risk students until grades arrive. Admissions teams rely on intuition over evidence. Most campuses collect extensive data but fail to convert it into decisions...