SeeMe.ai
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About
SeeMe.ai is an enterprise-grade sovereign AI platform designed to help organizations build and scale agentic workflows without sacrificing data privacy or control. The platform emphasizes a "no vendor lock-in" philosophy, allowing users to run models on their own chosen infrastructure while maintaining full ownership of their data. It serves as an end-to-end solution that bridges the gap between experimental AI projects and production-ready applications, catering specifically to sectors with high regulatory requirements such as healthcare and finance. The platform supports a broad range of AI capabilities across different data types. For computer vision, it handles tasks like object detection and quality inspection, while its document intelligence tools automate OCR and data extraction from complex forms. Additionally, it offers natural language processing for sentiment analysis and custom LLM fine-tuning, speech-to-text with speaker diarization, and predictive modeling for structured tabular data. A key differentiator is its multi-modal workflow engine, which allows users to chain these disparate models into complex, automated pipelines that can process vision, text, and data simultaneously. SeeMe.ai is primarily targeted at enterprise teams, data scientists, and developers in industries like manufacturing, financial services, and healthcare where compliance is non-negotiable. It is built to be accessible to both technical and non-technical users, offering a mix of no-code interfaces for quick deployment and code-level control for deep customization. The platform is particularly suited for European organizations, as it is designed to be GDPR compliant and ready for the EU AI Act, ensuring that AI development aligns with regional legal standards. What distinguishes SeeMe.ai from many mainstream AI providers is its focus on sovereignty and transparency. Unlike black-box AI services that require data to be sent to third-party servers, SeeMe.ai allows for on-premise or private cloud deployment, ensuring data never leaves the organization's perimeter. This focus on owning your AI assets extends to the models themselves, which are fine-tuned on the user's specific data. By providing a unified stack for vision, audio, text, and tabular data, it eliminates the need for managing multiple fragmented tools.
Pros & Cons
Ensures data sovereignty by allowing models to run on user-chosen infrastructure.
Provides multi-modal support for vision, text, audio, and data in a single stack.
Complies with strict European regulations including GDPR and the EU AI Act.
Offers SOC 2 Type II readiness for high-level enterprise security standards.
Supports end-to-end workflows from initial idea to production-ready agentic systems.
Pricing is not publicly disclosed and requires a manual demo request.
Primary focus on the European market may affect support availability for other regions.
Platform complexity may require a 30-minute demo to understand full functionality.
Use Cases
Manufacturing quality managers can deploy computer vision workflows for automated quality inspection on the production line.
Financial services compliance officers can use natural language processing to monitor sentiment and classify legal documents at scale.
Healthcare data analysts can utilize document intelligence to automate patient record extraction and medical imaging analysis.
Enterprise developers can build sovereign AI agents that run on-premise to maintain strict data privacy and compliance.
Logistics teams can use structured data models for demand planning and time series forecasting.
Platform
Features
• natural language processing
• document intelligence and ocr
• custom llm fine-tuning
• hybrid no-code/code platform
• multi-modal pipeline chaining
• structured data forecasting
• speech-to-text and diarization
• computer vision (classification and detection)
FAQs
What types of data can SeeMe.ai process?
SeeMe.ai is a multi-modal platform that supports computer vision, document intelligence, natural language processing, speech/audio, and structured tabular data. Users can combine these into end-to-end pipelines.
How does SeeMe.ai handle data privacy and compliance?
The platform is designed with a sovereign AI approach, keeping data on your chosen infrastructure. It is currently GDPR compliant, SOC 2 Type II ready, and prepared for the EU AI Act.
Does SeeMe.ai require coding skills to use?
No, the platform offers both no-code and code-based interfaces. This allows non-technical business users to deploy workflows quickly while giving developers deep customization control.
Can I deploy SeeMe.ai models on my own infrastructure?
Yes, the platform is built to avoid vendor lock-in by allowing you to run models where you choose. This supports high-security environments and on-premise requirements.
Pricing Plans
Enterprise
Unknown Price• Multi-modal workflows
• GDPR compliance
• SOC 2 Type II readiness
• EU AI Act ready
• On-premise deployment
• Custom LLM fine-tuning
• No-code and code tools
• Priority support
Job Opportunities
AI Solutions Engineer
Build, deploy, and scale sovereign AI workflows with a multi-modal platform that keeps data under your control. Ideal for enterprise teams needing GDPR compliance.
Benefits:
Competitive salary and benefits
Learning budget for conferences, courses, and books
Sovereign machines, broad tooling
Sustainable pace, flexible hours
Office in Belgium with flexibility
Experience Requirements:
Strong technical background with hands-on AI/ML experience
Experience building and deploying AI solutions in production
Other Requirements:
Comfortable with Python and common ML frameworks
Self-directed with ability to manage multiple customer engagements
Fluent in English; Dutch, French, or German is a plus
Experience in customer-facing technical roles
Background in computer vision, NLP, or structured data ML
Responsibilities:
Work with customers to understand their business challenges
Build proof-of-concept implementations to demonstrate platform capabilities
Deliver compelling demos and technical presentations to stakeholders
Guide customers through solution architecture and implementation planning
Collaborate with product and engineering on feature requirements
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Software Solutions Engineer
Build, deploy, and scale sovereign AI workflows with a multi-modal platform that keeps data under your control. Ideal for enterprise teams needing GDPR compliance.
Benefits:
Competitive salary and benefits
Learning budget for conferences, courses, and books
Sovereign machines, broad tooling
Sustainable pace, flexible hours
Office in Belgium with flexibility
Experience Requirements:
4+ years of professional software development experience
Strong full-stack skills (backend and frontend)
Experience with Python, TypeScript/JavaScript, and modern frameworks
Other Requirements:
Problem-solving mindset with attention to detail
Fluent in English; Dutch, French, or German is a plus
Experience in consulting or professional services
Background in AI/ML systems and workflows
Familiarity with Docker, Kubernetes, and cloud platforms
Responsibilities:
Engage with customers to understand requirements and scope solutions
Design and implement custom software solutions on top of our platform
Build proof-of-concepts that evolve into production systems
Handle full-stack development from backend services to frontend interfaces
Deploy and support solutions in customer environments
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Mobile Software Engineer
Build, deploy, and scale sovereign AI workflows with a multi-modal platform that keeps data under your control. Ideal for enterprise teams needing GDPR compliance.
Benefits:
Competitive salary and benefits
Learning budget for conferences, courses, and books
Sovereign machines, broad tooling
Sustainable pace, flexible hours
Office in Belgium with flexibility
Experience Requirements:
3+ years of mobile development experience (iOS, Android, or both)
Experience with Swift/SwiftUI, Kotlin, or cross-platform frameworks
Experience with REST APIs and offline-first architectures
Other Requirements:
Strong understanding of mobile UI/UX best practices
Passion for crafting polished user experiences
Experience with Core ML, ML Kit, or TensorFlow Lite
Background in computer vision or image processing
Experience with camera APIs and image manipulation
Responsibilities:
Develop and maintain our iOS and Android applications
Own architecture decisions and technical direction for mobile
Create intuitive interfaces for complex AI interactions
Implement on-device ML inference for privacy-preserving AI
Optimize app performance for image capture and real-time feedback
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