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Model ML Tech Stack

AI agents for financial workflow automation and analysis

Technology, Information and Internet New York, NY 51–200 employees Privately Held
modelml.com LinkedIn

Model ML builds agentic AI systems purpose-built for finance teams, connecting across disparate data sources and applications to automate analysis and workflows. The stack is cloud-native (Azure, AWS, GCP, Kubernetes) with strong Python/FastAPI backend and React frontend — a shape typical of AI-first product companies. Active hiring across engineering, design, and go-to-market roles, combined with projects spanning APAC expansion, CI/CD hardening, and observability, suggests they're scaling both the product and the GTM engine in parallel.

Tech Stack 32 technologies

Core StackAWS Terraform Kubernetes Docker GitHub Actions PostgreSQL MySQL Python Figma After Effects Adobe Premiere Pro Adobe Creative Cloud Make React Next.js Django FastAPI Redis Celery Xero Looker Azure Azure Kubernetes Service Bash Framer LinkedIn GCP Git SQL Excel+2 more

What Model ML Is Building

◆Challenges

  • Building brand from scratch
  • Scaling ai infrastructure
  • Complex manual processes
  • Optimizing payment processing
  • Rebrand and website rebuild
  • Translating complex workflows
  • Optimising onboarding process
  • Ensuring accuracy and efficiency
  • Hypergrowth
  • Platform scalability

▲Active Projects

  • Ci/cd pipeline development
  • Expansion into apac market
  • Cloud infrastructure architecture
  • Rebrand and website rebuild
  • Build category defining brand
  • Design system scaling
  • Engagement programs
  • Weekly feedback sessions
  • Refining ai-generated results
  • Observability system implementation

Hiring Activity

Accelerating20 roles · 20 in 30d

Department

Engineering
5
Design
3
Marketing
3
Sales
3
Finance
1
HR
1
Product
1

Seniority

Senior
12
Lead
4
Mid
1

Notable leadership hires: Creative Director, Head of Marketing

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About Model ML

Model ML develops AI agents that handle finance workflows across multiple data sources and applications simultaneously. The product targets finance teams at mid-market and enterprise companies, automating manual processes and enabling cross-source analysis without context switching. The 51–200 person team is distributed across the United States, United Kingdom, and Singapore, with recent focus on APAC market entry and a concurrent rebrand effort. Engineering, design, and sales are all actively scaling; leadership priorities include platform scalability, AI result refinement, and onboarding optimization as the company navigates hypergrowth.

HeadquartersNew York, NY
Company Size51–200 employees
Hiring MarketsUnited Kingdom, Singapore, United States

Frequently Asked Questions

What tech stack does Model ML use?

Azure, AWS, and GCP for cloud infrastructure; Kubernetes and Docker for orchestration; Python, FastAPI, and Django for backend; React and Next.js for frontend; PostgreSQL and MySQL for data; Looker for analytics; and integrations with Xero and Excel for financial data.

What is Model ML currently working on?

Primary projects include APAC market expansion, CI/CD pipeline development, cloud infrastructure architecture, observability system implementation, design system scaling, and a rebrand with website rebuild.

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