Team sizes & types
Proven engineer teams for AI, allowing to skip the hiring process
Each team of ours is a complete, cross-functional unit of experienced ML engineers, data scientists, and technical leads assembled for immediate productivity.
Rather than hiring individual specialists and hoping they integrate well, you get proven teams that have already delivered results across manufacturing, logistics, and enterprise applications.
STARTER
€8 000 / month
VAT excl.
2 AI/ML Engineers
For concept validation and small-scale projects
Validate your AI opportunity with a compact, focused team. Perfect for testing feasibility, building initial prototypes, and proving technical viability before larger investment.
We handle all project management and coordination - you provide requirements and feedback while our team delivers results through biweekly reports.
Deliverables: Working prototype, technical feasibility assessment, implementation roadmap.
Standard skillset: Machine Learning & Predictive Models, Data Analysis & Processing, Python Development, API Development, Cloud Infrastructure (GCP/Azure).
Total effort: 1.5 FTE
BUILD
€11 000 / month
VAT excl.
1 Team Lead
4 AI/ML Engineers
For production development
A complete cross-functional team designed to take your validated concept from prototype to production-ready AI solution. Includes technical leadership, development expertise, and deployment capabilities.
Deliverables: Production-ready AI systems, complete technical documentation, integration support, and knowledge transfer for ongoing maintenance.
Standard skillset: Everything in STARTER + Computer Vision & Image Processing, Natural Language Processing & LLMs, Full-Stack Web Development (Next.js/React), Containerization.
Total effort: 2 FTE
SCALE
€16 000 / month
VAT excl.
1 Team Lead
6 AI/ML Engineers
For enterprise-level operations
Full-scale team for complex, enterprise-grade AI implementations requiring ongoing operations, maintenance, and iterative development across multiple systems or business units.
Deliverables: Multi-system AI platforms, continuous optimization, enterprise monitoring, and scaled deployment capabilities.
Standard skillset: Everything in BUILD + Deep Learning & Neural Networks, DevOps & CI/CD Pipelines, Edge Computing & IoT Deployment, Speech Processing (STT/TTS).
Total effort: 3 FTE
CONFIGURE
€19 000 / month
VAT excl.
Custom, larger-scale specialist assembly
For unique, independent solutions
Specialized large team assembly for unique technical challenges requiring specific expertise combinations. Each team is designed specifically for your challenge, with specialists selected based on your technology stack, industry requirements, and project complexity.
Flexible: Team composition, duration, and scope tailored to your specific technical architecture and business requirements. Ideal for complex integrations, specialized domains, or large-scale transformations.
Skillset can include: Everything in SCALE + Reinforcement learning, Robotics (ROS2), Biometrics, Multi-modal AI, RLHF/fine-tuning, legacy system integration, enterprise data warehouses, real-time telephony, etc.
Our engineers come from
Microsoft
Deutsche Bank
Visma
Bentley Systems
CERN
Unisys
BNP Paribas
Accenture
How does it work?
Our teams operate with an agile, transparent cadence that keeps you in control while we do the heavy lifting.
Kickoff and planning
Before a project starts, we run a workshop with your stakeholders to refine requirements and success metrics. We produce a short Project Charter: outlining scope, constraints (e.g. compliance requirements), and a precise action plan.
Sprint rhythm
We typically work in 2-week sprints. Each sprint begins with you approving a sprint plan (tasks and deliverables) and ends with a review/demo. You’ll see tangible progress every sprint, whether it’s a working ML model on sample data or a UI demo.
Communication & transparency
Daily stand-ups internally, biweekly check-ins with you. Depending on your preference, the communication can be conducted via our internal platforms or biweekly progress reports and retrospectives send to your directly via email.
Quality and evals
Code is peer-reviewed, and every model is evaluated against hold-out data with clear metrics. We also incorporate guardrails, for example, bias checks on models or fail-safes on automated decisions – to ensure the AI is trustworthy and compliant.
Change management
Introducing AI can mean change for your organization, so we work with your team to pilot new features safely. We schedule “change windows” for any significant updates, aligning with your IT policies to minimize disruption.
Handoff & continuity
We prepare admin manuals, runbooks, and conduct training sessions for whoever will maintain the system. Our goal is that the AI solution continues delivering value long after the work is done, whether through your internal team or with our periodic support.