EndorsedendorsedCompleted

Tender Analysis MVP Development Using AI for Volve

Services Covered:

AI and Machine Learning • Web Application Development • UI/UX Design • Cloud Consulting and Services
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Industry
Industry

Construction

Duration
Duration

4 months

Budget
Budget

50K - 199K

Start Date
Start Date

1 June 2024

Team Size
Team Size

6-10

Engagement Model
Engagement Model

Nearshore

Project Capability Score (PCS)

gauge meter
78/100
Good

Project Capability Score (PCS) estimates how capable Zaven 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

Volve

mapOslo, Norway

Project Summary

Zaven designed and developed an AI-powered web application MVP for a construction-focused startup, using a Retrieval Augmented Generation (RAG) architecture with Azure AI Search and OpenAI. They implemented a document processing pipeline with Microsoft Document Intelligence and Python, built the backend on Azure SQL and .NET, and delivered a user-friendly frontend and CI/CD infrastructure. The functional MVP was delivered in four months, enabling pilot customer engagement and helping the client secure follow-on investment. Project management was agile, communicative, and responsive to evolving needs.

Key Challenges

  • Build a proof of concept and scalable MVP
  • Source high-quality developers to complement the client’s internal team

Project Deliverables

  • Functional MVP delivered within four months
  • Semantic search and citation engine
  • Document processing pipeline
  • Modern frontend for tender analysts
  • Backend with Azure SQL and .NET
  • CI/CD pipelines and cloud infrastructure
  • Full technical documentation

Project Solution

Zaven designed and built an end-to-end AI-powered web application MVP using a Retrieval Augmented Generation (RAG) architecture. They implemented document ingestion and processing using Microsoft Document Intelligence and Python, integrated Azure AI Search and OpenAI for semantic search and citation, developed a user-facing frontend, and built the backend on Azure SQL and .NET. They also set up CI/CD pipelines and scalable Azure infrastructure and managed the project using agile sprints with regular updates.

Project Outcome

  • Functional MVP delivered within four months
  • Enabled engagement with pilot customers and secured follow-on investment
  • Agile project management with timely deliveries and transparent communication

Platforms

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

Tech Stack

  • AzureAzure
  • PythonPython
  • .NET.NET
  • Microsoft SQL ServerMicrosoft SQL Server

Client Endorsement

Overall Review Rating

5star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Zaven successfully delivered a functional MVP within four months, enabling the client to engage with pilot customers and secure follow-on investment to scale the solution. The team was effective in project management and adapted quickly to the client's evolving needs, showing speed and quality.”

Herman B. Smith

CEO & Co-Founder

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

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