Fairmarkit Tech Stack

AI-powered procurement platform automating sourcing workflows at scale

Software Development Boston, Massachusetts 51–200 employees Founded 2017 Privately Held

Fairmarkit builds an autonomous sourcing platform for procurement teams using Python, SQL, Angular, and Oracle Fusion integration. The tech stack reveals a mature SaaS architecture—TypeScript + NgRx for state management, TestRail for QA rigor—paired with active investment in ML model deployment pipelines and intelligent supplier recommendation systems. Engineering dominates the hiring mix, signaling heavy product iteration to address core pain points: reducing procurement cycle times, automating manual workflows, and improving sourcing decision-making.

Tech Stack 13 technologies

Core StackPython Angular TypeScript SQL TestRail RxJS NgRx SASS Nx Oracle Fusion Excel HTML Angular Material

What Fairmarkit Is Building

◆Challenges

Reducing cycle times
Driving out costs
Meeting esg/diversity targets
Reducing manual effort in procurement workflows
Improving decision-making in sourcing
Long sales cycles
Low win rates
Small deal sizes
Scaling design across teams
Complex technical issues

▲Active Projects

Internal admin panels
Notifications system
Chats
Intelligent supplier recommendation system
Procurement workflow automation
Ml model deployment pipeline
Value assessment workshops
Value selling tool development
Roi calculator development
Design system roadmap

Hiring Activity

Steady15 roles · 5 in 30d

Department

Engineering

Sales

Design

Product

Seniority

Senior

Director

Junior

Mid

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About Fairmarkit

Fairmarkit is an autonomous sourcing platform that enables procurement teams to run sourcing events and supplier negotiations at scale. Founded in 2017 and based in Boston, the company serves mid-market and enterprise procurement departments seeking to compress sourcing timelines and reduce procurement costs. The platform integrates with Oracle Fusion and existing procurement tooling, and surfaces AI-driven supplier recommendations and workflow automation to reduce manual effort. Current projects include a notifications system, internal chat capabilities, an ML deployment pipeline, and ROI calculators for value justification—all aimed at accelerating adoption and anchoring savings metrics for buyers.

HeadquartersBoston, Massachusetts

Company Size51–200 employees

Founded2017

Hiring MarketsPoland, United States, United Arab Emirates, Ireland

Frequently Asked Questions

What technology does Fairmarkit use to build its platform?

Fairmarkit's stack includes Python, SQL, Angular, TypeScript, RxJS, and NgRx for frontend state management, with Oracle Fusion integration for ERP connectivity. The team uses TestRail for QA and is actively building ML model deployment pipelines to power intelligent sourcing features.

What are Fairmarkit's main product priorities?

Active projects include an intelligent supplier recommendation system, procurement workflow automation, ML model deployment, notifications, chat, and ROI calculator development. These map to core pain points: reducing sourcing cycle times, automating manual effort, and quantifying savings per buyer.