EndorsedendorsedCompleted

Generative & Agentic AI Platform for Blockchain Company

Services Covered:

AI and Machine LearningCustom Software DevelopmentAPI Development
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Industry
Industry

Government & Public Safety

Duration
Duration

30 months

Budget
Budget

200K - 999K

Client Size
Start Date

1 July 2022

Team Size
Team Size

6-10 Employees

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
75/100
Good

Project Capability Score (PCS) estimates how capable Codewinglet Private Limited 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

mapNewark, United States of America

Project Summary

Codewinglet Private Limited delivered generative and agentic AI services to an AI-powered blockchain company, building text-generation, summarization, structured-data extraction and RAG pipelines, and developing production Python microservices. They implemented agent orchestration with Temporal.io and LangChain-based frameworks, integrated services with the Azure ecosystem, and provided CI/CD, observability, and developer documentation. The client reported high-quality results, fast delivery, responsiveness, and adaptability.

Key Challenges

  • Generative AI Services
  • Agentic AI Services
  • Fast Python AI Service Development

Project Deliverables

  • Generative AI microservices (FastAPI APIs)
  • RAG pipeline with document processing
  • Structured field evaluation framework
  • Agentic AI framework with LangChain/LangGraph
  • EMS triage, recruitment, and workforce agents
  • State tracking and audit logs
  • Python AI microservices with DB integration
  • CI/CD pipelines and observability tools
  • Developer docs and knowledge transfer

Project Solution

Built generative AI microservices (FastAPI) for text generation, summarization, and structured data extraction; implemented RAG pipelines for document ingestion and context-aware responses; developed agentic AI orchestration using LangChain/LangGraph and Temporal.io with state tracking and audit logs; and rapidly delivered production-grade Python microservices integrated with Azure (Cosmos DB, Service Bus, Redis), along with CI/CD, observability and developer handover.

Project Outcome

  • Ability to ingest and process 500+ page PDFs with >95% accuracy in field extraction
  • RAG response relevance >90% in test queries
  • AI response latency averaged <2 seconds
  • Agent workflow completion rate >85% without manual intervention
  • EMS agent triage accuracy >90% against reference cases
  • Temporal workflows with <1% failed retries
  • New AI services delivered to staging in <2 days on average
  • System uptime >99% for deployed AI microservices
  • Scalability to handle 1,000+ concurrent requests without degradation
  • Consistent on-time delivery and high responsiveness

Platforms

  • CloudCloud

Tech Stack

  • Fast APIFast API
  • Azure Cosmos DBAzure Cosmos DB
  • AzureAzure
  • RedisRedis
  • PythonPython

Client Endorsement

Overall Review Rating

5star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

The client was pleased with the project's results. Codewinglet Private Limited was efficient — they always delivered items on time or ahead of schedule without compromising quality. Moreover, they were quick to adapt to changes, and their AI expertise and efficient execution impressed the client.

Anonymous

Project Manger

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

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