endorsedCompleted

Crypto Market Intelligence Platform: Frontend, API and RAG AI

Services Covered:

Large Language Model (LLM) Development • AI and Machine Learning • API Development

Industry

Financial Services

6 months

Budget

Confidential

Start Date

1 July 2025

Team Size

1-5

Engagement Model

Offshore

Project Capability Score (PCS)

77/100

Good

Project Capability Score (PCS) estimates how capable Pirxey 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

Israel

Project Summary

Pirxey took full ownership of an early-stage crypto market intelligence platform and rebuilt the product front-to-back, including a new frontend, a Fastify API layer, and a production-grade RAG AI intelligence layer. They ran structured LLM experiments, built parallel processing pipelines when scope expanded, implemented production security controls, and launched the platform live in January 2026 on schedule.

Key Challenges

Take full ownership and bring the early-stage crypto-intelligence product to production
Build an AI intelligence layer (RAG pipeline) to convert raw social signals into queryable trader insights
Rebuild the frontend to handle data volume and update frequency
Put production-grade security in place (access controls and API hardening)
Ship on a tight, market-driven timeline without cutting corners on quality

Project Deliverables

Full frontend rebuild (React, Vite, TanStack, Tailwind, Radix)
New Fastify (Node.js) API layer integrated with existing Python/FastAPI microservices
Production-ready AI intelligence (RAG) pipeline for semantic and keyword search
Conversational AI interface for querying proprietary signal data
Structured experiments across LLM providers (OpenAI, Anthropic Claude, Grok)
Second parallel processing pipeline and production-grade security (DB access controls, secured API endpoints)

Project Solution

Pirxey took over the entire platform and treated it as a product problem, rebuilding the frontend (React/Vite) to handle high data volume and update frequency, delivering a new Fastify (Node.js) API layer integrated with existing Python/FastAPI microservices, and building a production-ready RAG pipeline that powers dashboard insights and a conversational AI interface. They ran structured LLM experiments across providers, implemented a second processing pipeline when scope expanded, and put production-grade security and per-user data scoping in place ahead of go-live.

Project Outcome

Platform went from early-stage to fully deployed in roughly six months
Platform went live in January 2026 on schedule with founding users testing before public announcement
Rebuilt frontend from scratch and stood up a production-ready RAG AI layer
Validated three LLM providers in production
Shipped two processing pipelines in parallel after scope expansion without slipping the launch window

Platforms

Web
AI/ML Platform

Tech Stack

React.js
Vite-React
Node.js
Fast API
Python
Tailwind CSS

Client Endorsement

Overall Review Rating

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Pirxey successfully launched the platform on time, meeting all requirements and accommodating an expanded scope without delay. Their strong project management and excellent communication ensured a smooth process. They provided comprehensive services and proactive solutions, exceeding expectations.”
Anonymous
co founder
Date: 06/17/2026