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Your team of AI engineers,
ready to deploy.
Get our people to build your solutions in days — access expert engineers while keeping full ownership.
Why rent and not hire?
Building internal AI capabilities takes years and millions in investment. Renting proven expertise delivers immediate results with predictable costs.
Quick deployment
We rapidly prototype MVPs and iterate fast — up to 10× faster than traditional hires.
Setting up in 3 daysTransparent pricing
One flat monthly fee covers your dedicated team and managers, with no administrative hassle.
Starting from €10k/monthPre-vetted experts
Every team member has enterprise AI experience and a proven track record.
60+ engineersInstant scalability
Scale your AI team up or down with a simple request. Pause or adjust size anytime.
Within 12 hoursPeace of mind
Enterprise-grade security: on-prem or VPC deployments, encryption and compliance built in.
GDPR & AI Act compliantState-of-the-art
Access to the latest AI technologies and methodologies without internal R&D investment.
PhD & MSc-level team leadsTeam sizes
Starter
€10 000 / month
VAT excl.
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
€15 000 / month
VAT excl.
For production development
A complete cross-functional team designed to take your validated concept from prototype to production. Each team is assembled specifically for your challenge, with specialists selected based on your technology stack, industry requirements, and project complexity.
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: 3 FTE
Scale
€21 000 / month
VAT excl.
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: 4 FTE
Configure
€28 000 / month
VAT excl.
For unique, independent solutions
Specialized large-team assembly for unique technical challenges requiring specific expertise combinations. Team composition, duration, and scope are tailored to your architecture and business requirements — ideal for complex integrations, specialized domains, or large-scale transformations.
Flexible: Team composition, duration and scope tailored to your specific technical architecture.
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 telemetry, etc.
Total effort: Tailored
Alternative analysis matrix
We did an alternative analysis matrix to accelerate your decision-making and make informed purchasing decisions.
Upfront / program cost
Traditional consulting€5M–€20M+ for large genAI programs
Staff augmentationN/A
Our teamsFrom €10K/month
Build in-houseN/A
Ongoing burn (talent)
Traditional consultingN/A
Staff augmentationUp to €15K / contractor / month
Our teamsSTARTER → CONFIGURE
Build in-houseN/A
Annual cost (team)
Traditional consultingN/A
Staff augmentationN/A
Our teamsMonth-to-month; scale up/down
Build in-house€400K–€1M+ / year depending on size/seniority
Time to value
Traditional consultingLong (multi-month SOWs on complex programs)
Staff augmentation3–6 months to full productivity
Our teamsSetup in days
Build in-house18–24 months to stand up a full team
Knowledge retention
Traditional consultingLimited transfer; deliverables often siloed
Staff augmentationRisk of "walk-out" when contractors leave
Our teamsRunbooks + handover; foreground IP to client
Build in-houseHigh (internal capability)
Scaling flexibility
Traditional consultingNew SOWs, change orders
Staff augmentationAdd/remove contractors
Our teamsMonth-to-month, change team size within 12h
Build in-houseSlow (hiring cycles)
European compliance
Traditional consultingVaries by vendor
Staff augmentationIndividual responsibility
Our teamsGDPR / AI Act-ready, on-prem/VPC options (published); DPA available
Build in-houseInternal responsibility
IP ownership
Traditional consultingTypically client owns foreground IP; vendor retains background tools (per SOW)
Staff augmentationUsually assigned to client
Our teamsForeground IP to client; background tools retained
Build in-houseFull ownership
Talent availability
Traditional consultingN/A
Staff augmentationHard to source niche skills
Our teamsPooled capacity (60+ engineers)
Build in-houseSevere shortage; e.g., Germany ~70% AI jobs unfilled by 2027
Meet people who will work with you
Learn about our team of experienced AI/ML engineers, coming from around the globe.
Tadas
Focus: System Architecture, Voice AI, Full-Stack Engineering, Applied AI
Tadas has built intelligent news readers using NLP, designed neural speech systems, and led architecture for mobile insurance and credit scoring platforms. With 10+ years in ML and software architecture, he focuses on voice/LLM projects, organizational scaling, and system design. Holds an MSc in Artificial Intelligence and BSc in Physics.
Aistis
Focus: Robotics, LLMs, Algorithmic Trading
Aistis is a professor of AI at Vilnius University, where he teaches courses in algorithmic trading and robotics. He holds a PhD in Artificial Intelligence and has spent almost 10 years working for Deutsche Bank, Société Générale and other financial institutions as a quantitative researcher.
Lukas
Focus: Computer Vision, Data Engineering
Lukas has led cross-functional teams on transport analytics, wood processing defect detection, and CAD analysis projects. He's managed delivery timelines and stakeholder coordination across 5+ years. Interested in requirements engineering and team management practices. Holds a double MSc in Software Engineering.
Amanuel
Focus: Backend Engineering, System Architecture, React
Amanuel has worked on campaign automation platforms, built document generation systems on AWS, and contributed to high-performance poker solvers. With 4 years in Python and 3+ years in backend development, he focuses on system design. Holds BSc in Software Engineering.
Ausra
Focus: Credit Risk Modeling, LLM Systems, Medical AI
Ausra has developed production credit scoring models for SME financing, built RAG-based chatbots for legal/tax domains, and created medical image analysis solutions. With 10+ years in ML and 8 years in Python, she leads projects spanning fintech, healthcare, and education tech. Holds MSc degrees in Computer Science and Political Science.
Robert
Focus: Computer Vision, Edge Deployment, NLP
Robert has built traffic violation detection on Jetson edge devices, developed text-to-speech pipelines for multiple languages, and created anti-money-laundering models. With 4+ years in ML and Python, he's led government document processing and public transport analytics projects. Holds MSc in Data Science.
Ugne
Focus: Speech-to-Text, Backend Systems, Kubernetes
Ugne has developed medical dictation applications with optimized STT models, built audiobook synthesis platforms, and integrated real-time LLM systems for call operators. With 3 years in Python and DevOps, she specializes in STT/TTS systems. Holds BSc in Bioinformatics.
Gloryson
Focus: Drone Systems, RAG Pipelines, DevOps
Gloryson has built UAV localization and object detection for drones, developed LLM-based health analytics APIs using RAG, and created n8n automation workflows. With 3.5 years in ML spanning NLP, CV, and RL, he works across robotics (ROS2, Gazebo) and cloud infrastructure. Holds BSc in Computer Science.
Tiruzer
Focus: Full-Stack Development, Traffic Analytics, Cloud Deployment
Tiruzer has built traffic-violation and accident detection systems using street cameras, developed multilingual audiobook synthesis platforms, and created kidney stone analysis prototypes deployed at hospitals. With 3 years in Python and web development, he focuses on DevOps and infrastructure. Holds BSc in Software Engineering.
Andrius
Focus: LLM Integration, Time-Series Forecasting, RAG Systems
Andrius has built RAG-based chatbots for finance and education, developed time-series models for waterpark systems, and worked on automated grading platforms. With 4 years in Python and ML, he specializes in LLM integrations. Holds BSc in Data Science, pursuing MSc.
Kostas
Focus: Full-Stack AI Applications, CAD Solutions, Team Coordination
Kostas has implemented CAD-based error detection and paneling solutions, built LLM-powered article generation systems, and developed GTFS transport analysis tools. With 3.5 years in Python, he often steps in as acting team lead. Holds BSc in Computer Science, pursuing MSc in Software Engineering.
Ananiya
Focus: RAG Systems, Kubernetes, Databases
Ananiya has built customizable RAG chatbots with Elasticsearch, developed phoneme ASR models, and created real-time building monitoring systems. With 3 years in Python and TypeScript, he's deployed applications on K8s clusters. Holds BSc in Software Engineering.
Dmytro
Focus: Data Engineering, Traffic Detection, ETL Pipelines
Dmytro has maintained centralized databases for speech datasets, developed traffic-violation detection using YOLO, and built speaker identification systems. With 4 years in Python and data engineering, he focuses on data warehouses and backend systems. BSc in Computer Science.
Sahib
Focus: Full-Stack Development, Flutter Mobile, System Design
Sahib has built campaign automation and telephony integrations, developed flight booking apps with payment processing, and worked on platform enhancements. With 3+ years in Python and TypeScript, he covers full-stack, mobile, and AI-powered systems. Holds BSc in Software Engineering.
Arnas
Focus: Text-to-Speech, Voice Interfaces, Funding Applications
Arnas has led development of TTS engines for audiobook synthesis, built smart home voice control systems, and architected autonomous caller solutions for sales automation. With 5 years in deep learning and Python, he leads our effort in speech technology. Holds MSc in Computer Science.
Iveta
Focus: Mathematical Modeling, Data Analysis, Computer Vision
Iveta has worked on anti-money-laundering transaction analysis, built government financial management tools, and contributed to drone object detection systems. With 3 years in Python and 4 years in statistics/data analysis, she bridges math and ML. Holds MSc in Data Science, BSc in Applied Mathematics.
Mulugeta
Focus: RAG Chatbots, Full-Stack Web, LLM Pipelines
Mulugeta has built intelligent chatbots for finance and education domains, developed automated article generation systems, and worked on government document processing. With 3.5 years in Python and web development, he focuses on LLM-based projects. Holds BSc in Computer Science.
James
Focus: Voice Agents, Drone Navigation, NLP
James has developed autonomous B2B calling systems with emotional analysis, built geo-referencing and tracking for UAVs, and created AI tools for funding application analysis. With 3 years in Python and 1.5 years in ML/NLP, he works across voice AI and computer vision. Holds BSc in Computer Science.
Andrii
Focus: Data Analysis, Grafana Dashboards, LLM Applications
Andrii has analyzed public transport patterns from GTFS data, built SQL-based Grafana dashboards for monitoring, and developed full-stack web applications. With experience in data science from a Nasdaq internship working on LLM automation. BSc in Informatics Systems.
Abenezer
Focus: Speech Recognition, Phoneme Modeling, Medical AI
Abenezer has trained multilingual phoneme ASR models with under 10% error rate, developed STT optimized for low-quality medical audio, and integrated N-gram models to reduce word error rates. With 3+ years in Python and DevOps, he specializes in speech processing. Holds BSc in Software Engineering.
Zygimantas
Focus: Telephony AI, Emotional TTS, Funding Applications
Žygimantas has contributed to autonomous caller solutions for cold sales, developed emotional speech synthesis for audiobooks, and co-authored research on prosody-based clustering. With 2 years in Python and NLP, he handles funding agency reporting. Holds BSc in Data Science.
Emilija
Focus: Data Analysis, Neural Networks, Technical Reporting
Emilija has worked on payment-page adaptation using neural networks, prepared datasets for face-recognition experiments, and contributed to funding agency documentation. With 2 years in ML and statistics, she focuses on data processing and applied deep learning. Holds BSc in Data Science.
Trinh
Focus: Computer Vision, Traffic Analysis, Data Visualization
Trinh has investigated and deployed traffic sign detection models and developed dynamic pricing algorithms. With 3 years in Python and ML, focusing on computer vision and signal processing. BSc in Data Science.
Samuel
Focus: Mobile Development, Domain Modeling, MLOps
Samuel has built lead prospecting automation tools, developed developer performance analytics platforms, and created recommendation systems for content. With 3+ years in Python and mobile development (Flutter), he focuses on architecture and ML engineering. BSc in Software Engineering.
Armantas
Focus: CAD Solutions, Docker, Technical Reporting
Armantas has implemented CAD-based solutions for error detection and paneling, prepared testing processes for LLM summarizers, and contributed to project documentation. With 2 years in Python, he focuses on algorithmic problem-solving. BSc in Computer Science.
Mudogo
Focus: Web Development, LLM Integration, RAG
Mudogo has contributed to autonomous caller solutions with RAG integration, developed anti-money-laundering frontend, and worked on backend integrations for voice AI. With 3 years in web development and growing ML skills. Holds BSc in Computer Science, pursuing MSc in IT.
Jonas
Focus: React/Next.js, RAG Systems, API Development
Jonas has developed Atlassian apps and built RAG systems enabling document search via LLM bots. With experience in frontend and API development, he focuses on AI-powered applications. BSc in Artificial Intelligence.
Akosua
Focus: Machine Learning, LLM Integration, Data Analytics
Akosua has implemented automated grading systems with LLM components, contributed to TTS platform debugging, and worked in GRC consulting with data automation. With 3 years in ML and Python, she focuses on chatbot development. Holds BSc in Computer Science, pursuing MSc.
Ilya
Focus: Backend APIs, Real-Time Data, Async Programming
Ilya has built cryptocurrency analytics dashboards with real-time price streams, worked on campaign automation with telephony integrations, and managed IT infrastructure. With 1 year in backend development, he focuses on event-driven systems. Holds BSc in Computer Science.
Dominykas
Focus: Full-Stack Development, Docker, Python
Dominykas has worked on automated grading platform features and CRM development. With early experience in Python, FastAPI, and Next.js, he's interested in ML, DevOps, and cloud deployment. Graduated in Software Systems.
Erikas
Focus: Speech Processing, Data Cleaning, Computer Vision
Erikas has set up acoustic alignment pipelines for low-resource language speech corpus collection, tested vision models for UAV georeferencing, and contributed to API development. With 3 years in Python and a focus on data processing, he works in speech and vision domains.
Murad
Focus: Embedded Systems, Frontend Development, C++
Murad has researched speaker diarization methods, tested ASR models on medical datasets, and deployed speech assistants on edge computing devices. With 4 years in C++ and 3 years in JavaScript, he bridges embedded systems and web development. Holds BSc in IT, pursuing MSc in Data Science & AI.
Migle
Focus: Statistics, Data Analysis, Machine Learning
Miglė has worked on resolving inconsistencies between ticketing datasets to build complete sales data. With 4 years in statistics and 2 years in ML, she focuses on data analysis and automation. Pursuing BSc in Data Science.
Kalkidan
Focus: Full-Stack Engineering, Applied AI, System Integration
Kalkidan builds end-to-end products using FastAPI, NextJS, and modern AI models, delivering scalable backend services, payment integrations, and workflow automations. His work spans applied AI curriculum development, cross-platform integrations, and feature-rich web apps. Holds degrees in Computer Science and Civil Engineering.
Arsenij
Focus: Frontend Development, Full-Stack, TypeScript
Arsenij has worked on audio transcription using Azure, developed campaign and organization features for sales platforms, and built responsive UI components. With 2 years in frontend frameworks and FastAPI, he focuses on system architecture. Pursuing BSc in Information Technologies.
How does it work?
From initial consultation to full deployment in days, our streamlined process ensures rapid time-to-value for your AI initiatives.
01 Scope
In a free scoping call, we map out your goals and data. Within a day, we present a tailored proposal, including team composition and sprint plan. Once approved, your AI team is assembled and onboarded to your environment in days.
02 Execute
The team works in agile sprints: we show progress (models, dashboards, etc.) and adjust to your feedback. This approach ensures quick turnarounds, and we handle everything from data wrangling to model tuning and UI integration.
03 Deliver
By the end of each month, you receive tangible deliverables and reports. We provide runbooks, handover sessions, and training so your team can take over smoothly. Continue month-to-month or seamlessly scale down or up based on needs.
Figures shown are indicative planning ranges based on our delivered engagements and publicly available market data; actual costs depend on scope, seniority mix, data readiness and integration complexity. Monthly fees are quoted excluding VAT and are fixed for the agreed team composition. Comparison columns describe typical market alternatives and are not statements about any specific provider.
Let's talk.
Tell us the problem you want solved and we'll come back with a team composition, a sprint plan and a fixed monthly price.