Good place to start career - Data Analyst AgNext Technologies Employee Review

4.0
14 Apr 2026
Recommend
CEO approval
Business outlook

Pros

-Supportive staff -Exposure to building with latest tech -Great place for AI domain career building

Cons

-High pace, fast deadlines -Team pressure -Cross team communication could be better

Explore other reviews about AgNext Technologies

1.0
20 Apr 2026
Recommend
CEO approval
Business outlook

Pros

Exposure to high-pressure situations, though largely due to lack of structure rather than intentional development

Cons

Leadership is the biggest problem here. The CEO is completely disconnected from reality — takes credit for every deal but has little to no real involvement in closing them. Very high on ego, very low on accountability. There’s zero structure or seriousness when it comes to business. Calls you for meetings from another city and then doesn’t show up, with random excuses. Meanwhile, priorities seem to be elsewhere. Sales team has no clarity, no support, and no incentives. You’re expected to deliver numbers with no backing. Reimbursements are constantly delayed, and salaries aren’t reliable either. Finance is more focused on internal politics and pleasing the top leadership than actually doing their job. The company is struggling financially, and it shows in every function. Layoffs have already happened, and instead of fixing things, the focus is on managing perception. HR and founder’s office are actively pushing people to post fake positive reviews to hide the ground reality. No appraisals for the last two years. People have mentally checked out. Moonlighting is common because no one feels secure or valued. Work culture is honestly one of the worst I’ve seen — toxic, political, and directionless. Don’t be misled by recent positive reviews; all are planted. If you want the real picture, just reach out to current or former employees directly — you’ll hear the same story.

5.0
22 June 2026
Recommend
CEO approval
Business outlook

Pros

Worked on real AI and ML projects Learned new tools and technologies Good exposure to computer vision tasks Supportive team members Opportunity to improve technical skills

Cons

Tight project deadlines at times Workload can increase during deliveries Limited time for research and learning Some projects require long working hours Communication between teams can improve

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