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Beyond Tech Stack

AI and ML consulting for enterprise scale and observability

IT Services and IT Consulting London, England 51–200 employees Founded 2010 Public Company

Beyond is a Google Cloud Partner consultancy building AI and ML solutions for enterprise clients. Their tech stack—LangGraph, CrewAI, Vertex AI, BigQuery, Kubernetes—and active projects (multi-agent systems, RAG strategies, learning-to-rank models, ML observability) signal deep investment in production ML infrastructure. The hiring mix skews senior and lead roles in engineering and data, suggesting work on complex, mission-critical deployments rather than early-stage experimentation.

Tech Stack 19 technologies

Core StackPython Go Figma Pandas NumPy scikit-learn TensorFlow Oracle Vertex AI BigQuery Kubernetes Prometheus Grafana LangGraph CrewAI Vertex AI Vector Search MCP GCP Pub/Sub

What Beyond Is Building

◆Challenges

Creating observable environment
Ensuring security and high availability
Reducing hallucination
Handling millions of users
Personalization and ranking challenges
Operationalising new models
Optimizing low-latency ml serving
High-availability production environment
Low-latency real-time personalisation
Best-in-class pipelines

▲Active Projects

Observability framework for ml models
Next best action modeling
Learning to rank models
Ci/cd pipelines for ml models
Scalable multi-agent systems for high-traffic environments
Robust rag strategies for enterprise knowledge
Observability and security guardrail frameworks
Marketing technology use cases
Personalization system
Next best action system

Hiring Activity

Minimal8 roles · 0 in 30d

Department

Engineering

4

Data

3

Design

1

Seniority

Senior

6

Lead

2

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About Beyond

Beyond is a technology consultancy headquartered in London and operating a global, remote-first workforce across hubs in Portugal, New York, San Francisco, and Mexico City. Founded in 2010 and now part of Qodea, the firm helps mid-to-large organizations architect, build, and operationalize cloud and AI solutions on Google Cloud Platform. Their project portfolio spans ML infrastructure (CI/CD for models, observability frameworks, real-time serving), generative AI (RAG systems, multi-agent architectures, hallucination mitigation), and data-driven personalization (next-best-action systems, learning-to-rank models). Core pain points center on production ML challenges: low-latency inference at scale, reducing model hallucination, ensuring security and high availability, and operationalizing new models.

HeadquartersLondon, England

Company Size51–200 employees

Founded2010

Hiring MarketsPortugal, United States

Frequently Asked Questions

What tech stack does Beyond use?

LangGraph, CrewAI, Python, Go, Vertex AI, BigQuery, Kubernetes, Prometheus, Grafana, TensorFlow, scikit-learn, and Oracle. Google Cloud is their primary platform.