Data Engineering and ML Platform Re-architecture for Cybersecurity Company
Services Covered:

Cloud & Network Security
67 months
Confidential
1 January 2021
6-10 Employees
Offshore
Project Capability Score (PCS)
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Client
Confidential
Project Summary
Key Challenges
- Re-architect platform to ingest high volumes of data daily.
- Build a low-latency API capable of responding within 100 milliseconds.
- Implement machine learning and derived feature values to inform customers.
Project Deliverables
- High-performance computing platform for large-scale data processing
- Machine learning models and derived feature values
- High-performance API responding within 100 milliseconds
- Data engineering and infrastructure components
Project Solution
Project Outcome
- Enabled successful initial product launch in June 2021.
- Developed novel, potentially patentable approaches that contributed to the product's success.
- Maintained delivery consistency and provided backup resources to meet deadlines.
Platforms
API/Integration Platform
Tech Stack
Python
REST API
Client Endorsement
Overall Review Rating
Timeliness
Cost Rating
Willing to Refer
Quality of Deliverables
“Dataforest’s support has made it possible for the client to build a fast, high-powered data analytics tool. The team's unique approaches, service consistency and reliability, and capacity to provide backup resources in unprecedented times have led to the system’s successful initial launch.”
Note: This endorsement is based on publicly available client feedback from external review sources.
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