EUR 1.7M
Non-dilutive grant support for AI product and capability development.
Managed AI services
Research-grade AI systems, delivered as operational programmes.
stm.ai is a research and development company. We build product-grade AI and run managed programmes for organizations that need verifiable, sovereign, and explainable systems in cybersecurity, education, healthcare analytics, and intelligent automation. Our practice is shaped by hands-on delivery in MedTech, FinTech, EdTech, and academic teaching contexts.
EU grant funded Human-in-the-loop delivery On-prem and hybrid options Source-linked outputs
Core operating principles
Your AI, your data
Deployments are designed to preserve data ownership and execution control.
Human-in-the-loop by design
Domain experts remain inside review, governance, and final decision loops.
Evidence and traceability
Every recommendation is tied to data lineage, rationale, and audit-ready outputs.
Services, not ad-hoc consulting
We structure delivery around managed programmes with shared operational accountability.
250+
Citations across applied AI and scientific computing publications.
2 products
Live product lines in cybersecurity and AI-powered education.
Domain experience
We bring cross-sector depth, not generic AI delivery.
stm.ai combines product execution with academic and applied R&D experience across regulated, educational, and data-intensive sectors.
MedTech and Digital Health
Parkinson's disease analytics, smartphone-based clinical assessment, and health data science toolkits.
cloudUPDRS, PDkit, peer-reviewed clinical papers
FinTech and Market Intelligence
Transfer-learning and forecasting workflows for financial applications and trading knowledge systems.
Transfer learning publication, market intelligence delivery
EdTech and Learning Systems
Personalized AI learning products and content pipelines designed for children, educators, and families.
LLMentor product development and programme execution
Teaching and Academic Practice
Academic researcher and lecturer background with practical education design and training-focused delivery.
Birkbeck profile, Fundamentals of Teaching certification
Cybersecurity and Digital Resilience
Explainable AI systems for security operations, risk analysis, and governance-oriented deployments.
CLARA platform and secure deployment architecture
Public Science and Human Behavior
Interdisciplinary experiments combining cognitive science, AI, and public engagement design.
Me, Human collaboration with Science Museum
Mission
We make AI useful, auditable, and deployable in the real world.
We pair responsible computation with deep domain collaboration so advanced models become trusted operational systems rather than isolated experiments.
Human-in-the-loop delivery
Teams, subject-matter experts, and stakeholders shape each iteration through continuous feedback cycles.
Data sovereignty by default
We prioritize on-prem and controlled hybrid environments where custody, policy, and compliance remain in your boundary.
Transparent governance
Recommendations include rationale, provenance, and reporting layers to support audit and verification.
Services company promise
We deliver outcomes through managed programmes, not hourly consulting.
Dedicated delivery teams
Cross-functional teams own roadmap, implementation, and operations so delivery continues after launch.
Programme-based engagements
Structured service tracks bundle R&D, automation assets, governance, and measurable milestones.
Shared accountability
We align with your KPIs and quality gates to make AI work predictable, explainable, and business-ready.
Managed AI programmes
Three programme types built for high-trust environments.
Evidence-Linked AI Research
Managed research programmes for data-heavy organizations that need verifiable insight generation and prediction pipelines.
- Retrieval-augmented research with source-linked outputs
- Domain expert feedback loops and iterative model updates
- Pilot-to-production architecture for long-term operation
Digital Resilience and Security AI
Operational AI workflows for anomaly analysis, risk scoring, and explainable security operations in regulated settings.
- Noise-reduced alerting with contextual summaries
- On-prem and hybrid deployment options
- Audit-ready reporting aligned to governance requirements
Creative and Adaptive Education AI
Human-led personalized learning systems blending generative content, pedagogical control, and measurable outcomes.
- Culturally adaptive content pipelines
- Educator-driven review and quality checkpoints
- Product experiences for children, schools, and families
100%
Data ownership focus
Architectures are designed to preserve customer control over data and execution.
100%
Source verification intent
Outputs are linked to evidence and rationale for transparent review workflows.
100%
Human oversight commitment
Final decisions remain with people across security, education, and research contexts.
Product ecosystem
Product lines currently operated by stm.ai.
CLARA
AI cybersecurity platform with deployable agents for audit, network analysis, and secure browsing.
Visit clara.stm.aiLLMentor
AI-driven personalized education product for children with digital and printable learning experiences.
Visit llmentor.stm.aiPast projects archive
Selected collaborations and applied builds.
These projects informed our current model for scientific rigor, engineering quality, and domain adaptation.
PDkit
Open-source data science toolkit for Parkinson's disease progression and reproducible clinical analytics.
cloudUPDRS
Smartphone-first digital assessment workflows for Parkinson's symptoms backed by peer-reviewed validation.
INCom
Intelligent commerce platform research with Romanian ASR, NLP product reasoning, and visual recognition.
GoodMine
LLM-driven extraction and product intelligence with crawler-assisted data pipelines and vector workflows.
Me, Human
Public science collaboration on human cognition and behavior through live experiments and research outreach.
Market Intelligence Tool
Custom Python and SQL forecasting stack for structured market knowledge capture and decision support.
Research profile
Evidence-backed work with peer-reviewed outcomes.
Selected publications with short abstract highlights, including two Nature Portfolio papers.
Introduces cloudUPDRS as a smartphone medical software platform for structured digital assessment of Parkinson's symptoms in clinical and remote settings.
Prospective dual-site validation shows smartphone motor tests can predict blinded MDS-UPDRS III ratings at subject level, supporting digital endpoints in Parkinson's trials.
Presents an open-source Python toolkit that standardizes ingestion, feature extraction, biomarker estimation, and clinical scoring for wearable and smartphone Parkinson's data.
Large-scale human study links laterality profiles to cognitive and social outcomes, with rarer reversed profiles associated with higher self-reported social difficulties.
FAQ
Common questions from partners and consortium teams.
Is stm.ai a consulting company?
We operate as an AI research and development services company. Engagements are structured as managed
programmes with owned outcomes, not ad-hoc advisory billing.
Can stm.ai support European project consortia?
Yes. We contribute technical architecture, model pipelines, validation methodology, and applied delivery
work packages for research and innovation calls.
Do you offer sovereign or on-prem deployment options?
Yes. We design for controlled deployments where policy, access, and data residency requirements are
strict, including on-prem and hybrid topologies.
Contact
Ready to build the next programme together?
Partnerships and new work
For partnerships, proposals, pilots, or case-study details, email c@stm.ai.
Typical response time: 1-2 business days European project collaborations welcome Product and research partnerships available
Company profile
Founded by Cosmin Stamate, stm.ai combines product engineering, machine learning research, and proposal-ready technical planning. Legal entity: AI STM Learning SRL.
R&D partner for AI-intensive work packages Prototype-to-production engineering capability Research translation into operational systems
Privacy and legal
We collect only data sent by email for partnership communication. Data controller: AI STM Learning SRL. You can request access, correction, or deletion at privacy@stm.ai.
Retention: up to 24 months unless deletion is requested sooner Rights: access, rectification, erasure, portability, objection No tracking scripts required for contact