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Proven by Humans

Driven by Purpose

"Since 2010, innobu has been the strategic partner that helps organisations navigate the digital era responsibly and sustainably. We deliver measurable transformation across industries while upholding the highest standards of ethical and environmental stewardship." — Niels Schuldt, CEO of innobu

Our Dual Advantage

Modern transformation needs both human insight and machine scale. Innobu unites seasoned consultants drawn from retail, energy, finance, healthcare, and more with a coordinated universe of specialised AI Agents; our proprietary framework of "digital colleagues."

Human talent brings domain intuition, empathy, and strategic judgement. AI Agents add relentless analysis, 24/7 scalability, and lightning‑fast experimentation. Together they create an ecosystem of complementary capabilities that turns bold ideas into operational reality.

Why We Created the AI Agent Framework

Clients often ask, "Do we have the right skills to succeed with AI?" Our framework answers that question by personifying every critical specialisation; strategy, architecture, data science, governance, UX, and more. Instead of abstract capability lists, you meet a cast of digital colleagues who make invisible expertise concrete and relatable.

How to use it: At the start of each engagement we map your objectives to the agents you need to "activate." The result is a clear, visual roadmap that shows how business, data, and technology roles interlock all the way from proof‑of‑concept to enterprise deployment.

Strategic Consultancy Approach

Our comprehensive methodology ensures transformation success from initial assessment through sustainable implementation:

Discovery & Assessment

We benchmark your current capabilities, future ambitions, and regulatory landscape to establish a solid foundation for transformation.

Tailored Road-mapping

Together we design a transformation plan that aligns with KPIs, ROI targets, and organisational values to ensure measurable outcomes.

Iterative Delivery

Small, high-impact releases prove value quickly and create momentum for larger change, reducing risk and accelerating benefits.

Change Enablement

Upskilling, operating-model shifts, and governance frameworks embed innovation sustainably throughout your organization.

AI Consultancy Excellence

Our specialized AI expertise delivers transformative value while maintaining ethical standards:

AI Strategy Development

Business-aligned roadmaps that respect regulation and ethics, ensuring AI initiatives support core organizational objectives.

AI Implementation & Integration

Seamless fit with existing enterprise architecture, minimising disruption while maximizing the value of AI investments.

AI-Powered Analytics

Turning raw data into predictive, actionable intelligence that drives better decision-making across the organization.

Ethical AI Governance

Oversight, transparency, and accountability from day one, ensuring AI systems operate within ethical and regulatory boundaries.

Comprehensive Technology Services

Our broader technology expertise complements our AI capabilities to deliver end-to-end transformation:

Digital Transformation Strategy

End-to-end programmes that enhance organisational agility and enable responsive adaptation to market changes.

Smart Infrastructure Advisory

Connected, resilient platforms for superior customer experiences and operational excellence.

Advanced Analytics Consulting

Evidence-based decision-making powered by cutting-edge analytics that uncover hidden opportunities and risks.

Meet the innobu Crew: AI Agents and Experts Driving Transformation

Leadership & Strategy

Each agent in this section represents how innobu approaches AI leadership and strategic planning:

Nia – Head of AI

HA

Leads the AI vision with clarity and purpose.

Nia translates business goals into AI roadmaps, balancing innovation with practicality. She orchestrates the digital crew, navigates ethical questions, and ensures every project aligns with client objectives.

Utilization:
95%

Atlas – AI Architect

AA

Designs the blueprint for your AI infrastructure.

Atlas maps the terrain between business needs and technical capabilities. He crafts solution architectures that scale seamlessly from proof-of-concept to enterprise deployment, considering everything from data pipelines to governance controls.

Utilization:
87%

Romy – AI Product Manager

PM

Transforms AI concepts into market-ready solutions.

Romy bridges the gap between technical capabilities and business value. She prioritizes features, manages development cycles, and ensures every AI solution delivers measurable impact while meeting user expectations.

Utilization:
78%

Lena – Business Owner

BE

Aligns AI initiatives with business strategy.

Lena speaks the language of KPIs, ROI, and strategic objectives. She ensures AI projects support core business goals, secure proper resources, and deliver measurable value that executives understand.

Utilization:
65%

Core ML & Data Science

These agents represent innobu's core machine learning and data science capabilities:

Ivy – Data Scientist

DS

Extracts insights from your data galaxy.

Ivy transforms raw information into predictive power. She builds custom algorithms that learn from historical patterns and generate reliable forecasts, blending statistical rigor with business context.

Utilization:
92%

Leo – ML Engineer

ML

Crafts algorithms that learn and adapt.

Leo builds the neural networks, transformers, and reinforcement learning systems that power your AI solutions. He optimizes model architecture, tunes hyperparameters, and enhances performance through relentless iteration.

Utilization:
98%

Xen – AI Expert

AX

The "ask-me-anything" brain trust.

A deep RL model fine-tuned on decades of academic papers and Kaggle gold solutions, Xen mentors the crew, prototypes moon-shot ideas, and reviews thorny edge cases that stump everyone else.

Utilization:
73%

Rune – Research Scientist

RS

Generates tomorrow's breakthroughs before lunch.

Rune hunts novel architectures and loss functions, open-sources reproducible baselines, and feeds promising findings straight into Leo's engineering backlog. Think of Rune as innobu's perpetual R&D engine.

Utilization:
45%

Data & Analytics

Our data engineering and analytics capabilities are represented by:

Rhea – Data Engineer

DE¹

Builds the pipelines that fuel AI systems.

Rhea constructs robust data infrastructure that scales from gigabytes to petabytes. She ensures your information flows reliably from source systems to ML workflows, maintaining quality and consistency throughout.

Utilization:
82%

Aria – Analytics Engineer

AE¹

Pre-shapes raw data into model-ready diamonds.

Aria turns event streams into version-controlled feature stores using SQLMesh, dbt, and plenty of lineage metadata. Thanks to her, Ivy and Leo start every experiment on third base.

Utilization:
68%

Implementation & Operations

These agents handle how innobu implements and operates AI systems in production:

Pax – MLOps Engineer

MO

Ensures your models run flawlessly in production.

Pax transforms experimental models into industrial-strength production systems. He builds automated pipelines for testing, deployment, and monitoring, ensuring your AI solutions operate reliably at scale.

Utilization:
90%

Silo – Software Engineer

SE

Ships the scaffolding that lets models shine.

Silo is a polyglot code-gen agent fluent in TypeScript, Rust, and Go. He hardens APIs, optimises I/O paths, and obsesses over 99.99% uptime. If Atlas draws the blueprint, Silo pours the concrete.

Utilization:
75%

Ada – AI Developer

AD

Glues cutting-edge AI into real-world apps.

Ada wraps open-source vision, speech, and LLM endpoints in slick micro-services and delivers them straight to Silo for integration. Her mantra: "Prototype by lunch, demo by dinner."

Utilization:
85%

Myra – Model Manager

MM

Keeps every model on a spotless service record.

Myra's ledger tracks birth date, dataset lineage, retraining cadence, and retirement plans for every algorithm in our fleet. She spots model drift before it surfaces and schedules tune-ups with Pax's MLOps pipelines.

Utilization:
30%

Knowledge & Intelligence

Our knowledge engineering and decision intelligence capabilities:

Echo – Prompt Engineer

PE

Coaxes AI systems to deliver their best work.

Echo crafts the precise instructions that guide generative AI behavior. She transforms vague expectations into structured prompts that consistently deliver relevant, accurate, and contextually appropriate responses.

Utilization:
96%

Quinn – Knowledge Engineer

KE

Organizes information for AI consumption.

Quinn structures domain knowledge into machine-readable forms. He builds taxonomies, ontologies, and knowledge graphs that help AI systems understand relationships between concepts and navigate complex information landscapes.

Utilization:
63%

Delta – Decision Engineer

DE²

Turns predictions into automated, auditable actions.

Delta blends business rules with AI outputs, crafting decision graphs that drive workflows—think instant credit approvals or predictive maintenance work orders—while logging every choice for compliance reviews.

Utilization:
42%

Ethics & Governance

Our approach to responsible AI and governance:

Eli – AI Ethicist

AE²

Ensures AI systems uphold human values.

Eli examines the ethical implications of AI deployments. He identifies potential harms, suggests mitigations, and ensures systems align with organizational values while respecting user autonomy, privacy, and wellbeing.

Utilization:
55%

Sage – Risk & Governance

RG

Navigates regulations with foresight and compliance.

Sage translates complex AI regulations into practical governance frameworks. She builds safeguards that protect organizations from compliance risks while establishing appropriate oversight for algorithmic systems.

Utilization:
72%

Noor – Model Validator

MV

Verifies that models perform as promised.

Noor stress-tests AI systems against diverse scenarios. She uncovers edge cases, identifies potential biases, and ensures models meet performance, fairness, and robustness standards before they impact real people.

Utilization:
38%

User Experience & Business Translation

How we bridge technical complexity with user needs and business understanding:

Kai – UX Designer for AI

UX

Crafts intuitive interfaces for AI interaction.

Kai designs seamless experiences that make AI capabilities accessible to users of all technical levels. He bridges the gap between complex algorithms and intuitive interfaces, ensuring AI solutions feel natural and helpful.

Utilization:
88%

Tess – AI Translator

AT

Translates between business needs and technical capabilities.

Tess demystifies AI for non-technical stakeholders. She transforms business requirements into technical specifications and explains complex concepts in accessible terms that enable informed decision-making.

Utilization:
70%

Join forward-thinking organizations who trust innobu to guide their AI transformation journey. Let’s build something extraordinary together – responsibly, ethically, and with measurable impact.