EndorsedendorsedCompleted

Generative AI Integration for Haystack Mobile App

Services Covered:

AI and Machine LearningMobile Application DevelopmentAPI Development
Project hero — replace with case study imagery
Industry
Industry

Business Consulting & Services

Duration
Duration

4 months

Budget
Budget

10K - 49K

Client Size
Start Date

1 March 2025

Team Size
Team Size

1-5 Employees

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
87/100
Strong

Project Capability Score (PCS) estimates how capable Inexture Solutions 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

Haystack

mapLos Angeles, United States of America

Project Summary

INEXTURE Solutions Limited developed and integrated generative AI into a digital workplace platform's mobile app, designing the backend, training AI models, and integrating APIs using Node.js and Python. The engagement improved search accuracy and made onboarding and navigation easier; user feedback was very positive and engagement metrics increased by roughly 40%. The vendor delivered work on time, communicated proactively, and provided direct access to an AI architect for technical discussions.

Key Challenges

  • Enhance the mobile app by integrating generative AI to make it more intuitive and engaging for employees
  • Create a smarter intranet experience that understands user queries and generates personalized responses
  • Simplify knowledge discovery across the organization

Project Deliverables

  • Designed backend architecture
  • Trained AI models
  • Embedded generative AI into the mobile app
  • Backend and API integration
  • Post-implementation support and alignment with existing platforms

Project Solution

INEXTURE Solutions Limited developed generative AI capabilities for the client's mobile app by designing the backend architecture, training AI and NLP models (including Llama, OpenAI's GPT, and custom fine-tuned transformers), and embedding the generative AI into the app. They implemented backend and API integrations using Node.js and Python, aligned AI features with existing platforms to fit the employee experience, and provided post-implementation support.

Project Outcome

  • Engagement metrics on the mobile platform increased by roughly 40%
  • Search queries became faster and more accurate
  • User feedback was very positive and overall satisfaction with the team's work was high
  • The vendor delivered on time and was proactive in addressing issues

Platforms

  • MobileMobile

Tech Stack

  • Node.jsNode.js
  • PythonPython

Client Endorsement

Overall Review Rating

5star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

INEXTURE Solutions Limited's work received positive user feedback and increased engagement metrics by 40%. The team was professional, delivered on time, proactively addressed issues, and quickly implemented changes. Their technical expertise and collaboration skills impressed the client.

Ron Lesham

CEO

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

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