EndorsedendorsedOngoing

Data Engineering and ML Platform Re-architecture for Cybersecurity Company

Services Covered:

AI and Machine LearningAPI DevelopmentBig Data Analytics and Business Intelligence
Project hero — replace with case study imagery
Industry
Industry

Cloud & Network Security

Duration
Duration

67 months

Budget
Budget

Confidential

Client Size
Start Date

1 January 2021

Team Size
Team Size

6-10 Employees

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
69/100
Good

Project Capability Score (PCS) estimates how capable DATAFOREST is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS


Client

Confidential

mapPhiladelphia, United States of America

Project Summary

A cybersecurity company engaged Dataforest to re-architect its high-volume data ingestion platform and provide data analysis and engineering work. Dataforest built a high-performance computing platform with machine learning and an API capable of low-latency responses, supporting a successful initial product launch in June 2021 and an ongoing partnership that began in January 2021.

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

Dataforest built a high-performance computing platform to process large daily data volumes, developed machine learning models and derived feature values, and created a high-performance API designed to respond within 100 milliseconds. They took ownership of most of the data engineering and infrastructure work and resolved engineering challenges to meet the client's requirements.

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 PlatformAPI/Integration Platform

Tech Stack

  • PythonPython
  • REST APIREST API

Client Endorsement

Overall Review Rating

5star5 out of 5 stars

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.

Anonymous

VP of Product

Note: This endorsement is based on publicly available client feedback from external review sources.

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