Aveni Tech Stack

AI automation platform for financial services workflows

Software Development Edinburgh, Scotland 51–200 employees Founded 2018 Privately Held

Aveni builds NLP and generative AI systems purpose-built for regulated financial services operations—automating admin, quality assurance, and compliance tasks. The stack is cloud-native (Node.js + TypeScript on AWS Lambda/Fargate + Kubernetes) with Python/SciPy for ML pipelines, now adopting Claude and LoRA, signaling a shift toward fine-tuned LLM agents. Pain points around production LLM deployment and model maintenance, paired with engineering-heavy hiring (4 open roles in engineering), suggest the company is scaling infrastructure to handle both client customization and operational AI at scale.

Tech Stack 35 technologies

Core StackNode.js TypeScript React AWS AWS Lambda DynamoDB AWS RDS NestJS Python NumPy Pandas Kubernetes Docker Terraform Helm AWS Fargate API Gateway AWS SQS SciPy Claude GitOps Bash

AdoptingClaude Transformers LoRA

What Aveni Is Building

◆Challenges

Scaling engineering organization
Replacing fragmented processes
Operating llms at production scale
Data privacy governance
Deploying llms in production
Maintaining ml models
Automating ml workflows

▲Active Projects

Event-driven microservices platform
Finllm integration platform
Market expansion into new customer segments
Llm-powered systems
Production-grade nlp pipelines
Cloud infrastructure integration
Rollout of aveni assist and aveni detect pilots
Customising aveni platform for clients
Building ai-driven document templates
Cloud-native systems on aws

Hiring Activity

Accelerating6 roles · 4 in 30d

Department

Engineering

Sales

Seniority

Senior

Mid

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About Aveni

Aveni is a privately held AI FinTech company founded in 2018 and based in Edinburgh. The platform automates workflows across financial services operations—from administrative support and quality assurance to regulatory compliance and Consumer Duty management. The product combines industry-specific NLP with generative AI, designed to integrate with existing FS systems. Current work includes event-driven microservices, LLM integration layers, production NLP pipelines, and pilot rollouts of Aveni Assist and Aveni Detect. The company operates at 51–200 employees with active expansion into new market segments.

HeadquartersEdinburgh, Scotland

Company Size51–200 employees

Founded2018

Frequently Asked Questions

What tech stack does Aveni use?

Node.js, TypeScript, and React for application layer; AWS (Lambda, Fargate, RDS, DynamoDB, SQS) for cloud infrastructure; Python with NumPy, Pandas, SciPy for ML; Kubernetes and Docker for orchestration; Claude for LLM integration.

What is Aveni working on?

Event-driven microservices platform, LLM integration layer, production NLP pipelines, cloud-native AWS infrastructure, and pilot rollouts of Aveni Assist (automation) and Aveni Detect (quality assurance) tools for financial services clients.