Question 1

What is Bayseian?

Accepted Answer

Bayseian (spelled with an "e") is an elite AI, data, and cloud consultancy founded in June 2024. We're not related to Bayesian statistics, though we certainly use it in our work! We build production-ready AI systems, data pipelines, and cloud infrastructure for enterprises that can't afford to fail.

Question 2

Who are Bayseian's clients?

Accepted Answer

We work with leading enterprises, government agencies, and innovative startups across the UK, Singapore, Australia, and Sri Lanka. Our clients include King's College London, UK Home Office, London Mayor's Office, and technology companies like Snapdrum and Tekniti AI.

Question 3

What makes Bayseian different from other consultancies?

Accepted Answer

Unlike large consultancies that staff junior teams on your project, our founding partners (Managing Partners Aamir Faaiz and Dr. Adnan Akbar) are directly involved in every engagement. We deliver production-ready systems, not just PowerPoint decks, with 100% client retention since launch.

Question 4

What services does Bayseian provide?

Accepted Answer

We specialize in three core areas: (1) AI & Machine Learning: LLM deployment, agentic workflows, model fine-tuning; (2) Data Engineering: ETL pipelines, real-time analytics, data warehouses; (3) Cloud Infrastructure: AWS, GCP, Azure architecture, Kubernetes, Terraform.

Question 5

Do you work with startups or only enterprises?

Accepted Answer

We work with both! We've helped pre-seed startups build their MVP and major enterprises scale AI to millions of users. Our approach adapts to your stage, from rapid prototyping to enterprise-grade systems with compliance and governance.

Question 6

Where is Bayseian located?

Accepted Answer

Our headquarters is in London (Aviation House, 125 Kingsway, WC2B 6NH). We serve clients globally and work with distributed teams across the UK, Europe, Asia-Pacific, and North America.

Question 7

How quickly can Bayseian start on a project?

Accepted Answer

For urgent projects, we can typically start within 1-2 weeks. Standard engagements begin within 2-4 weeks. We offer free initial consultations to scope your requirements and provide a detailed proposal within 3-5 business days.

Question 8

What technologies does Bayseian work with?

Accepted Answer

We work with leading platforms including OpenAI (GPT), Anthropic (Claude), AWS Bedrock, Azure OpenAI, Apache Spark, Snowflake, Databricks, Kubernetes, Terraform, and all major cloud providers (AWS, GCP, Azure).

Question 9

What is Bayseian's engagement model?

Accepted Answer

We offer flexible engagement models: fixed-price projects for defined scope, time-and-materials for evolving requirements, and retainer arrangements for ongoing support. All engagements start with a no-cost discovery call to ensure we're the right fit.

Question 10

How long does a typical project take?

Accepted Answer

Project timelines range from 2-4 weeks for proofs-of-concept, 6-8 weeks for MVPs, to 3-6 months for enterprise-grade systems. We follow agile methodologies with production-ready increments delivered every 2-3 weeks, so you see value early and often.

AI systems for an AI-native world.

Bayseian turns AI ambition into production systems.

Production Systems

for Proptech

From fragmented workflows to production systems

AI Systems

Vertical Intelligence

Deployment and Operations

From Bayseian's operator lens.

AI Governance in Saudi Arabia: Building the Technical Foundations for Responsible AI at Scale

Engineering for Growth: Building Software from MVP to Series A and Beyond

vLLM and Parallelized Inference: Scaling LLM Serving to Production

Erasure Coding in Distributed Storage: Mathematics, Implementation, and Trade-offs

Deploying Production LLMs with AWS Bedrock: A Complete Guide

Optimizing Apache Spark on AWS EMR for Petabyte-Scale Data Processing

Put AI into production.