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EndorsedendorsedOngoing

AI Platform Full-Stack Development

Services Covered:

Custom Software Development
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Industry
Industry

Artificial Intelligence and Machine Learning

Duration
Durationinfo-circle

20 months

Budget
Budget

50K - 199K

Start Date
Start Date

1 January 2024

Team Size
Team Size

1-5

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
81/100
Strong

Project Capability Score (PCS) estimates how capable CarbonTeq 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

mapSan Francisco, United States of America

Project Summary

CarbonTeq developed full-stack features for an AI solutions firm's platform, including frontend React components, vector database support for RAG and backend service architecture. The team delivers high-quality, largely bug-free code quickly, responds promptly to evolving needs, and works with minimal oversight.

Key Challenges

  • Ship production-grade features quickly
  • Iterate the product rapidly based on customer feedback

Project Deliverables

  • Full-stack features for AI platform
  • Frontend React components
  • Vector database implementation for RAG
  • Backend service architecture

Project Solution

CarbonTeq acted as an end-to-end development partner, scoping and building full-stack features for the client's AI platform. Work included shipping frontend React components, implementing vector databases for retrieval-augmented generation (RAG), and designing clean backend service architecture. One CarbonTeq employee was assigned to the engagement.

Project Outcome

  • Faster shipping of production-grade, bug-free features
  • Ability to iterate quickly with customers and respond to changing requirements
  • Trusted delivery with minimal oversight

Platforms

  • AI/ML PlatformAI/ML Platform
  • WebWeb

Tech Stack

  • React.jsReact.js

Client Endorsement

Overall Review Rating

5star

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“CarbonTeq has delivered high-quality, bug-free code in a quick turnaround time. The team responds promptly to the client's evolving needs, works without much oversight, and communicates effectively via online meetings. They're also great at interpreting unstructured feedback and resolving issues.”

Anonymous

CTO

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

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