MLExperts.ai
Empowering academic labs and growth-stage startups to solve complex AI challenges swiftly. Our elite team—from Google, Amazon, and MIT PhDs—delivers rapid proofs of concept, so your core team can focus on driving your business forward.
While core research is essential, engineering tasks can take months to implement and may require learning new skills, potentially delaying project completion. Focusing on peripheral systems might not be the best use of your valuable time.
That’s where our team ofData ingestion pipelines
MLOps
Backend development
DevOps
Interactive webpage design
App development
Machine learning & modeling
ML specializations:
Database management
Web & document scraping
Visualizations
Other backend services
Created a workflow for a complex robotics data-collection application in 1 month. This would have otherwise taken 3-4 months by 1 engineer. Given the critical timeline, we quickly assembled a team of Python, iOS, DevOps engineers, and one architect. They created an elaborate AWS infrastructure with auto-scaling capabilities, achieving very low latency (30 ms), and set up multiple data-collection and reporting dashboards.
Working on an open-source leaderboard where researchers can submit their latest adversarial ML models. The lab did not have the bandwidth to productize and open-source such a leaderboard. We deployed a team of a senior ML engineer and a senior backend engineer.
Developed a world-class dynamic dashboard to visualize climate discourse.
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