CAST Highlight

What do you like best about the product?

There are many benefits of using CAST Highlight, one of my preferred feature is that it enables to leverage the knowledge about the whole portfolio in one place and even compare (anonymously) with the market.

What do you dislike about the product?

I don't see any drawbacks yet, but I'm still beginning to use it.

What problems is the product solving and how is that benefiting you?

Currently it helps me to evaluate some existing applications in order to advise the client on which aspects are to be taken care of with their respective order of priority. It will benefit in the sense I'll be able to propose an answer and roadmap to the client to improve their applications

I have been using CAST Highlight  for the last four years. In my company, we use CAST Highlight  to perform testing for our code to find vulnerabilities and license risks. We also use CAST Highlight for the Smart Accept picker to scan peer reviews, case studies, and product feedback.

One use case is Intent Matching, which means we match review text to topics such as ease of use, ROI, and customer support. Another use case involves pulling exact quotes and attributing them to the reviewer role, company size, and industry. Additionally, CAST Highlight helps us to scan for scalability.

Before deploying our project in a client environment, we first check our current code or project within CAST Highlight, so that once it gives the clear and green signal, we inform the client to ensure there will be no security risk when we deploy. This is a major impact, as per the client point of view; it is a very good tool. The client also gains confidence knowing that we are good to go.

The second benefit is time-saving. If we went manually from code review to senior developers, it would take us much time to find vulnerabilities and code review pointers, which CAST Highlight can provide. Another benefit is that quality and trust went up. The insights of this tool use real peer voice with full reviewer context, making it easier for clients to trust, lowering bounce rates and increasing conversions on comparison pages.

Another benefit is consistency across teams. Before, every analyst picked quotes differently. With CAST Highlight, we can use the same intent model plus scoring for everyone, meaning scalability means the same thing in all reports. The faster publishing impact is also reflected in our organization, where alerts help us catch new reviews and auto highlights assigned to the same-day insights. Overall, this tool reduced research time by 80%.

The best features for CAST Highlight include intent-based extraction. This means it does not just match keywords; it understands context. For example, it scales from 50 to 5,000 users and gets tagged under scalability even if the word is not there.

Another feature I found is smart deduplication, which groups similar quotes and picks the strongest and most significant one. It stops insights from showing eight variations of great UI, giving diverse voices instead of repetition. The third benefit of CAST Highlight is reviewer context tagging, which means highlights come with metadata such as job title, company size, industry, and region. Buyers trust quotes more when they see CTO, 2,000 employees. Another benefit is sentiment and strength scoring, which ranks highlights by how specific, emotional, and credible they are. This detail saved us 20 hours per week. The next feature I found is one-click insight formatting, where we are able to get proper results with a single click when scanning for vulnerabilities and license risks.

Regarding day-to-day features of CAST Highlight, there are many that I found using it. When we installed CAST Highlight, it comes with an inbuilt code editor tool. This means we can simply upload all of our project zips to the code editor tool, and from there it will pass to CAST Highlight. Once it passes, it scans many things. The first thing is that it finds the topic filter dashboard, which means it can fetch many things such as customer support, pricing, and security. Another benefit is that it helps us to find proper software composition, meaning how many tools and software we are using in our project. This is also one of the day-to-day use cases. Another feature is that it gives fresh review alerts, pinging us when new reviews come in with strong, castable quotes, so we do not miss new proof points for trending topics.

If I talk about improvements for CAST Highlight, I would suggest three things. The first is better understanding or niche understanding. Right now, the intent matching is strong for general topics such as ease of use, but for niche B2B terms such as HIPAA compliance or multi-tenant architecture, it sometimes misses context. Improving the domain-specific models would make highlights more accurate for these verticals.

The second improvement is more control over the deduplication logic. CAST Highlight's deduplication is great for avoiding spam, but sometimes we want two similar quotes if they are from very different company sizes, such as SMB versus enterprise perspectives on pricing. A slider to adjust deduplication strictness would help.

The third suggestion I would like to give is deeper sentiment and outcome tagging. While it has core sentiment capabilities, it does not tag outcomes automatically. For instance, if a quote mentions saved $50,000 per year, tagging that as cost savings $50,000 would let us build ROI charts instantly instead of reading each quote manually.

Regarding user experience, integrations, and reporting, I think there is room to enhance those aspects. Regarding user experience, I would suggest improving user actions in terms of bulk actions and keyboard shortcuts. Day-to-day analysts review 50-plus suggested quotes, and currently it is mostly clicking to approve one by one. Adding bulk approve or reject options and keyboard shortcuts would significantly reduce the time taken. A small UX change can lead to a big speed boost.

The second point is integrations when pushing to the CMS and Slack alerts. Right now, we export approved highlights manually from CAST Highlight. If CAST Highlight could push directly to our CMS or send Slack alerts for high-strength quotes that hit trending topics, it would close the loop faster, reducing copy-pasting.

The third improvement relates to reporting, specifically custom insight dashboards. The tool displays which topics have the most highlights, but we cannot build custom dashboards yet. For example, showing all security quotes from healthcare companies with more than 1,000 employees over the last 90 days would enable better filtering, and exportable dashboards would streamline quarterly reviews.

I have been working in my current field for four years.

CAST Highlight proves reliable in nature. I find it dependable regarding reliability and stability.

CAST Highlight handles scalability very effectively; its ability to process thousands of reports across multiple categories is impressive. The processing time per new report stays consistent, experiencing no slowdowns even when we had over 200 new reports dropped in a week.

The second point on scalability is about team usability; multiple analysts and project managers can use it simultaneously without conflicts. Role-based access scales well too; we added more users as the team grew, and the approval workflow remained intact.

Customer support for CAST Highlight has been good. I interacted with customer support regarding one of my project results related to vulnerabilities and license risks, and they explained everything clearly, leaving me very satisfied.

When choosing CAST Highlight, we did some research and development to find alternative tools, but we selected CAST Highlight because it served our manual analysis needs in-house. We were attempting to have analysts pick quotes manually in spreadsheets; it worked well initially but was slow, inconsistent, and hard to scale. The three-hour research time felt random depending on who was doing it.

Additionally, multiple generic AI tools we tested could not grasp reviewer context; they could pull quotes but could not identify if the source was an executive at a large company. Context  is crucial for B2B buyers. Our decision was also influenced by positive reviews of CAST Highlight, highlighting that the reviewer context features for roles, company size, and industry required no extra work or tool switching.

CAST Highlight helps with time saved, adoption speed, and there is no extra integration cost.

In terms of time saved, it went from approximately 3.5 hours per insight report to around 40 minutes, which is 80% faster. The team now ships two times more reports per quarter without adding hours. We did not have to hire additional analysts to scale output; the same two-to-three person team now handles what would have required one extra FTE before. Money saved is equal to approximately one FTE worth of manual research time per quarter.

I currently do not use any alternatives apart from CAST Highlight; I think it is the best for my needs.

Governance  and security is a big aspect of CAST Highlight, especially for B2B tools.

The first point that stands out is data handling plus PII. It only processes verified data that we already have rights to and does not suggest or ingest our private customer data or documents, so the risk of data leakage is low. Moreover, reviewer information shown includes the company size and industry, with no personal names or emails exposed in the insights unless the reviewer opted in publicly.

The second benefit is access controls; our team could set role-based access while using it; analysts can highlight and approve quotes, but only leads can publish to live insights, keeping QA control with us. No random edits go live.

The third benefit is audit and compliance; every approved quote has a trail indicating who approved it, which conflict it came from, and the timestamp. Therefore, if a legal or buyer asks where a specific claim originated from, we can prove it. For compliance, we surface peer statements with source links instead of making claims. Governance  feels solid, as it works only on verified data, has role-based access, and provides full audit trails back to source reviews, keeping us compliant and defensible with buyers.

Overall, the accuracy of CAST Highlight has been strong and reliability is consistent for our use case. The first point is intent matching, which catches the right theme approximately 85 to 90% of the time. For example, if a review says that setup took two weeks, it tags ease of implementation correctly, not just the time. The second thing is strength scoring; high-strength quotes usually read better to buyers, being less vague and providing more specific outcomes. While we still conduct human QA, false positives are low. The third point on accuracy is reviewer context; role, company size, and industry tagging are accurate because it pulls from verified profiles, adding credibility to quotes instead of simply showing generic testimonials.

Regarding reliability, consistency in output is vital; the same items receive the same highlight and score every time without random drift, earning our team's trust for bulk work. We have not experienced missed alerts or failure to process new reports. If a new conflict emerges today, highlights will show up on the same day. We do see less reliability for very niche technical jargon, for example, multi-tenant RBAC might get tagged as access control broadly. Also, sentiment can miss sarcasm during easy setups after three months.

Some advice for others looking into using CAST Highlight is that it is better in terms of cost compared to other available tools. It is also reliable and helps keep humans in the loop, providing accuracy around 85-90% for intent. Quick QA testing requires five minutes of human intervention before publishing. Additionally, training your team to filter and segment by role-based context is critical.

Regarding final thoughts on CAST Highlight, I find it to be a solid tool with some suggestions for improvement. The deduplication strictness is an area we can enhance, and the governance and security are very good. The accuracy of CAST Highlight is also commendable. In terms of pricing, I find it low, and the ROI is high, making it a very scalable tool. I would rate this review an 8 out of 10.

Private Cloud

Amazon Web Services  (AWS )

What do you like best about the product?

I find CAST Highlight really helpful in analyzing our applications in a very efficient way. As a Mainframe modernization SME, I appreciate how CAST Highlight provides fast, objective insights into legacy technologies, helping me understand COBOL footprints, integration complexity, tech debts, and modernization risks early. These insights make my transformation strategies and cloud decisions fact-based rather than assumption-driven. The features like analyzing legacy code, understanding COBOL footprints, and assessing integration complexity give me early, clear visibility into these areas. The initial setup of CAST Highlight was easy, and I use it with enterprise tools.

What do you dislike about the product?

NA

What problems is the product solving and how is that benefiting you?

CAST Highlight helps us analyze applications efficiently, providing visibility into large portfolios, uncovering technical debts, risks, and cloud readiness gaps, leading to confident modernization and investment decisions.

What do you like best about the product?

I like CAST Highlight most for its speed and simplicity in portfolio analysis - it quickly surfaces cloud readiness, technical debt, and open source risks, giving clear, actionable insights without heavy manual effort. The initial setup was straightforward and quick. It requires minimal configuration, and the automated portfolio scanning made onboarding easy without heavy manual effort.

What do you dislike about the product?

Some areas that could be improved in CAST Highlight are deeper customization of reports, more intuitive UI navigation and enhanced integration with CI/CD pipelines for smoother adoption.

What problems is the product solving and how is that benefiting you?

I use CAST Highlight for cloud readiness analysis, tech debt measurement, open source risk management, and portfolio rationalization. It saves time by delivering automated, rapid analysis, allowing us to prioritize modernization, reduce risk, and accelerate digital transformation.

What do you like best about the product?

CAST Highlight provides a fast and efficient way to assess application portfolios for software health, cloud readiness, and open-source risks. It offers actionable insights through easy-to-read dashboards and metrics that help prioritize modernization efforts. The automated scanning process is lightweight and quick, making it ideal for large organizations that need scalable portfolio analysis without deep code-level integration.

What do you dislike about the product?

While CAST Highlight offers valuable high-level insights, it can sometimes lack the depth needed for detailed technical analysis. The dashboards, although informative, may require customization to align perfectly with specific organizational KPIs. Additionally, the initial configuration and interpretation of some metrics can be challenging for teams new to the platform.

What problems is the product solving and how is that benefiting you?

CAST Highlight helps identify technical debt, software risks, and cloud readiness across large application portfolios quickly and efficiently. It enables teams to make informed decisions about modernization priorities and resource allocation without performing time-consuming manual code reviews. By providing clear metrics on code quality, maintainability, and open-source component risks, it supports better planning, reduces long-term maintenance costs, and accelerates digital transformation initiatives.