Applied AI & Data Lab · London · Kraków · Kyiv

We take AI from pilot to production

Agentic systems, data pipelines and evaluation for B2B product and operations teams. A senior team of four ships your first production release in 6–9 weeks, measured against a baseline on your own data.

See the case studies

30 minutes with an engineer. You leave with a first view of feasibility, cost and risk.

Explore how these methods connect

Certified and recognised

$600M+

Secured for our clients, including Fortune 500 companies

98%

Client retention rate

15+ years

Combined engineering and industry experience

300M+

Transactions a day on a data platform we scaled

01 The problem

Most AI pilots stall between the demo and the daily workflow. The model is rarely the reason.

Measure first

Pilots stall when nobody measured quality on real data. Before we build, we agree on the numbers that matter (accuracy, cost per task, hours saved) and record a baseline.

Fix the data path

Pilots stall when the data is not ready. We trace the data the system needs, repair what breaks and put quality checks into the pipeline.

Ship into real work

Pilots stall when the system never reaches the tools people use. Ours run inside your stack, with approvals, audit trails and monitoring your team can own.

02 What we do

Four ways we take AI into production

AI Readiness & Strategy

Two weeks to know what to build, what it will cost to run and how you will know it works.

Learn more

Agentic AI & LLM Systems

AI agents and LLM applications that do real work inside your tools, with approvals and audit trails.

Learn more

Data Engineering for AI

Pipelines, warehouses and real-time analytics that AI systems can rely on.

Learn more

AI Quality & Evaluation

Evaluation suites, simulated customers and production monitoring for LLM, chat and voice AI.

Learn more

03 How to start

Start small, with a fixed scope

2 weeks · fixed fee

AI Production Readiness Review

Know what to build before you fund it. An evaluation baseline on your data, a target architecture, a run-cost model and a go/no-go plan.

6–9 weeks · team of 4

Pilot-to-Production Sprint

One workflow, live in production. Built or rebuilt, connected to your tools, with human approvals where the stakes are high and monitoring against the baseline.

Monthly · from 3 months

Forward-deployed AI engineers

Senior AI and data engineers who join your team, work in your tools and ship on your roadmap.

Part-time · monthly

Fractional AI CTO

Senior leadership for your AI roadmap: model and vendor choices, team design, architecture reviews and board reporting.

04 Case studies

Production AI and data systems, with the numbers

Turning Conversational AI QA from Bottleneck to Continuous System

Production Grade AI Systems That Do Real Work

Leveraging Business Intelligence & Operations

Streamlining Finance Management

Element451: AI-Powered CRM for Higher Education

B2B.IQ: Pioneering Big Data Insights

Bill Winner’s CRM Evolution

Bill Winner: Empowering Smart Utility Management

05 How we work

Research rigour, production engineering

Opportunity Mapping

Identify business or user challenges that can be solved with intelligent systems. We scope the “why” before building the “how.”

Research & Hypothesis Formation

Explore methods, run discovery sprints, and select promising directions backed by scientific literature and domain insights.

Data Readiness & Preparation

Audit, clean, label, and structure data pipelines to power high-performance AI systems.

Experimentation & Prototyping

Run fast iterations of model training, fine-tuning, and evaluation to validate technical feasibility.

System Architecture & MLOps

Design scalable, maintainable AI pipelines. Automate retraining, testing, and deployment using modern MLOps practices.

Delivery & Continuous Learning

Deploy into production and set up continuous monitoring, feedback loops, and adaptive learning mechanisms.

06 Why teams choose us

Small, senior and measured

Small, senior teams

Four people who have shipped production AI before. The people who scope your project are the people who build it.

Evidence over opinion

Model, retrieval and agent choices are tested against your evaluation set. You see the numbers every week.

Built to hand over

Documentation, runbooks and dashboards are part of delivery. Clients stay because the work holds up, not because they are locked in.

From my experience, it is hard to find a team who have both excellent technical and commercial skills. Busy Rebel has never let us down, so we continue to work with them. The most important criteria we have as a team is creating & maintaining high standards; Busy Rebel has this in spades.

Cormac Horan

Product & Strategy Director, Co-Founder at BillWinner, Ireland

I've had the pleasure of working with a few software houses in the past, but none of them compares to the team at Busy Rebel. Their sense of mission and purpose is unparalleled, and their in-house skills are excellent. I always know that I can rely on them to get the job done, and done well, even if we are working remotely.

Fiachra Ó Comhraí

Former VP at Salesforce Inc., CEO at RenewalDiary, Ireland

Busy Rebel provides backend and data engineers to scale the world's #1 student engagement CRM's internal team. The team builds new features and modules, builds data integration pipelines, and maintains the existing product. Extremely happy with the outcome.

Petar Djordjevic

CTO, at Element451, USA

We've been partnering with Busy Rebel for almost 5 years now, and it is an exceptional software development partner. The responsiveness, solid experience, and good communication are impressive. Brilliant!

Torben Berner

Board Member at Destination Sjælland, Denmark

Thanks to the contributions of Busy Rebel, our organization as a massive worldwide distributor has passed all phases of digital transformation, gained a competitive advantage, and somewhere has revolutionized our industry. Busy Rebel is extremely productive digital partner, and internal stakeholders are particularly impressed with the vendor's dedication to success and attention to detail.

Sascha Rosinger

CEO at Machinex Inc., Spain

07 Fit

We take on a few projects at a time, so we choose them

We’re a good fit if

You have a clear use case and real data to work with.
A product or operations owner can give us two hours a week.
You want to own and run the system after launch.

We’re not the right team if

You need a demo for a pitch next week.
You are buying on the lowest hourly rate.
There is no data to work with yet.

08 Insights

Field notes from our engineers

The Architecture Behind Agentic AI That Thinks and Acts

From One-Shot Responses to Agentic Systems AI is evolving beyond just answering questions. Traditional language models like ChatGPT and Claude work well for single-turn responses. Ask a question, get an answer. But most real-world problems aren’t one-and-done. They involve multiple steps, tools, validations, and shifting context. That’s where agentic systems come in. Unlike one-shot models, […]

Anastasiia Starodumova•8 Oct 2025

7 min read

Data Governance and Compliance in AI Systems

From The Matrix to The Terminator, the idea of unsupervised AI has always been something that incites fear. Yet, if AI is becoming more deeply embedded into tools and products, why are safeguards treated like a bolt-on, instead of being built in from the very beginning? The answer is this – companies see “governance” and […]

Andre Bayliss•27 Aug 2025

4 min read

DBSCAN vs OPTICS: Building a foundation of high-ROI insights

Our access to data has been likened to our access to oil – abundant, rich, and a symbol of profit and power. But is this really true? At face value, the analogy seems aligned. Even reports show that “new oil” (data) has a greater ROI than “literal oil” in our current market. However, just like […]

Tiffany Bayliss•1 Aug 2025

7 min read

See All articles

09 Get in touch

We take AI from pilot to production

Certified and recognised

Most AI pilots stall between the demo and the daily workflow. The model is rarely the reason.

Measure first

Fix the data path

Ship into real work

Four ways we take AI into production

AI Readiness & Strategy

Agentic AI & LLM Systems

Data Engineering for AI

AI Quality & Evaluation

Start small, with a fixed scope

AI Production Readiness Review

Pilot-to-Production Sprint

Forward-deployed AI engineers

Fractional AI CTO

Production AI and data systems, with the numbers

Turning Conversational AI QA from Bottleneck to Continuous System

Production Grade AI Systems That Do Real Work

Leveraging Business Intelligence & Operations

Streamlining Finance Management

Element451: AI-Powered CRM for Higher Education

B2B.IQ: Pioneering Big Data Insights

Bill Winner’s CRM Evolution

Bill Winner: Empowering Smart Utility Management

Research rigour, production engineering

Opportunity Mapping

Research & Hypothesis Formation

Data Readiness & Preparation

Experimentation & Prototyping

System Architecture & MLOps

Delivery & Continuous Learning

Small, senior and measured

Small, senior teams

Evidence over opinion

Built to hand over

We take on a few projects at a time, so we choose them

We’re a good fit if

We’re not the right team if

Field notes from our engineers

The Architecture Behind Agentic AI That Thinks and Acts

Data Governance and Compliance in AI Systems

DBSCAN vs OPTICS: Building a foundation of high-ROI insights

Tell us what you’re trying to ship. An engineer replies within one business day.

Tell us what you’re building

Request sent

Cookies