EndorsedendorsedOngoing

Conversational Platform Development for Innotrail

Services Covered:

Custom Software DevelopmentAI and Machine LearningWebsite Development
Project hero — replace with case study imagery
Industry
Industry

Education

Duration
Duration

72 months

Budget
Budget

10K - 49K

Client Size
Start Date

1 August 2020

Team Size
Team Size

1-5 Employees

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
74/100
Good

Project Capability Score (PCS) estimates how capable Lightpoint Global 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

Innotrail

mapWarrington, United States of America

Project Summary

Lightpoint Global built a conversational platform for Innotrail, combining modern front-end web technologies with data science and machine learning. They worked in two-week sprints, delivering a Vue.js frontend, a Node.js backend, and TensorFlow-based NLP models integrated with Amazon Lex and Elasticsearch. Deliverables were high quality and enabled the client to rapidly test their business model while the team remained responsive to feedback.

Key Challenges

  • Needed a team with expertise in front-end web technologies and data science/machine learning.
  • Required a rapid understanding of product goals and delivery of an end-to-end, scalable solution.

Project Deliverables

  • Vue.js frontend
  • Node.js backend
  • NLP and data-science models built with TensorFlow
  • Amazon Lex conversational integrations
  • Elasticsearch implementation
  • Iterative 2-week sprint releases

Project Solution

Lightpoint Global implemented the client's platform using a Vue.js frontend and a Node.js backend, and built NLP/data-science models with Google TensorFlow. They integrated conversational capabilities via Amazon Lex and added Elasticsearch for search functionality. The team worked in two-week sprint cycles, accepted the client's high-level requirements, and delivered iterative releases with additional UI/UX design resources engaged as needed.

Project Outcome

  • Developed the platform in rapid iterations that enabled testing of the business model and technology.
  • Delivered high-quality outputs and remained responsive to client feedback.

Platforms

  • AI/ML PlatformAI/ML Platform
  • CloudCloud
  • WebWeb

Tech Stack

  • Vue.jsVue.js
  • Node.jsNode.js
  • TensorFlowTensorFlow
  • ElasticsearchElasticsearch
  • Amazon LexAmazon Lex

Client Endorsement

Overall Review Rating

4.75star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

So far, the deliverables are high quality and helped the client could test their business model and technology. Lightpoint Global is always ready to make improvements based on feedback.

Amit Jain

Co-Founder

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

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