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Nexa Tech Stack

Voice-first AI platform for candidate screening and recruiter workflow automation

Technology, Information and Internet London, United Kingdom 2–10 employees Founded 2025 Privately Held

Nexa is a voice-first recruiting platform built on RAG, LLM features, and agentic workflows—using Python, TypeScript, and modern cloud infrastructure (AWS, GCP, Azure, Kubernetes) to automate candidate evaluation and pipeline management. The founding team is hiring aggressively for senior engineers and research roles while tackling classical recruiter pain points (manual screening, fragmented candidate data, legacy system integration), suggesting they're moving beyond MVP-stage voice capture toward a full platform layer.

Tech Stack 18 technologies

Core StackTypeScript Next.js Python AWS Supabase React Node.js RAG Docker Kubernetes NumPy PyTorch TensorFlow Elasticsearch GCP Azure SciPy JAX

What Nexa Is Building

◆Challenges

Manual judgement workflows
Scattered information systems
Legacy systems integration
Replace physics simulations
Lack of senior engineer
Scaling mvp into platform
Turn prototype into platform
Performance and scale constraints
Scaling ai models
Complex technical deployments

▲Active Projects

Agentic workflows for underwriting insights
Retrieval pipelines and evaluation frameworks
Llm powered features
Ai discovery and ranking backend
Llm powered customer workflows
Infrastructure for growth
Ai-driven engineering simulations platform
Data pipelines for large-scale engineering datasets
Cloud-native scalable platform components
Physics simulation replacement

Hiring Activity

Accelerating8 roles · 6 in 30d

Department

Engineering

5

Data

1

Research

1

Support

1

Seniority

Senior

7

Director

1

Notable leadership hires: Technical Account Director

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About Nexa

Nexa is an AI recruiting platform that uses voice-first interactions to automate candidate screening and improve hiring velocity. Founded in 2025, the London-based startup helps recruiting teams and talent agencies reduce manual evaluation work, maintain consistent assessment standards, and structure candidate pipelines. The platform targets tech, product, science, and consulting recruitment verticals, as well as internal hiring and RPO workflows. Current focus spans agentic underwriting workflows, retrieval-augmented generation pipelines, LLM-powered customer features, and cloud-native platform scaling.

HeadquartersLondon, United Kingdom

Company Size2–10 employees

Founded2025

Hiring MarketsUnited Kingdom, United States

Frequently Asked Questions

What tech stack does Nexa use?

TypeScript, Next.js, Python, React, and Node.js for application layers; AWS, GCP, and Azure for cloud infrastructure; Supabase for databases; RAG, PyTorch, TensorFlow, and JAX for AI/ML components; Kubernetes and Docker for deployment.

What is Nexa working on?

Agentic workflows for candidate underwriting, retrieval pipelines and evaluation frameworks, LLM-powered features, AI-driven discovery and ranking backends, infrastructure for scaling, and data pipelines for large-scale engineering datasets.

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