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Coding & Language Processing for IT Company

Services Covered:

Custom Software Development
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Industry
Industry

Software Development

Duration
Duration

32 months

Budget
Budget

200K - 999K

Client Size
Start Date

1 May 2017

Team Size
Team Size

1-5 Employees

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
76/100
Good

Project Capability Score (PCS) estimates how capable Red Buffer 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

map United States of America

Project Summary

Red Buffer implemented natural language processing (NLP) and text-analytics features for an IT firm's multi-tenant text analytics platform. They handled named-entity recognition (NER) integration and evaluated multiple NER engines (including Amazon and Azure and open-source options), recommending the technologies best suited to the client's needs. The engagement delivered a more functional open-source platform and met tight deadlines under a scrum process.

Key Challenges

  • Need for custom software development.

Project Deliverables

  • Natural language processing functions
  • Text analytics with named-entity (name identity) extraction
  • Evaluation of NER engines and technology recommendations
  • Implementation support for an Open-source platform

Project Solution

Red Buffer delivered NLP capabilities for the client's platform, performing text analytics and named-entity (name identity) extraction. They evaluated multiple algorithms and NER engines from different vendors (including Amazon and Azure) and other open-source technologies, and recommended the most suitable options. The team provided implementation support to make the client's open-source platform more functional and adapted to the client's timelines under a scrum process.

Project Outcome

  • Improved open-source platform functionality.
  • Thorough evaluation of NER engines (Amazon, Azure, open-source) leading to actionable recommendations.
  • Ability to meet tight deadlines and adapt to time zone differences.

Platforms

  • SaaSSaaS
  • WebWeb

Tech Stack

  • Amazon Web Services (AWS)Amazon Web Services (AWS)
  • AzureAzure

Client Endorsement

Overall Review Rating

4.63star

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Equipped with adequate coding and implementation skills, Red Buffer rewarded the client with a reliable Open-source platform and valuable recommendations that helped their company progressed. They strived to deliver high-quality solutions within challenging timelines, ensuring a smooth partnership.”

Anonymous

Engineering Lead

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