Private AI Deployment
Keep ownership of your intelligence layer, exceed frontier models for your use case and dataset.
Agentic AI Pipeline
Run on your own private machine or our encrypted cloud infrastructure.
Provide access to your OS, data, tools, and applications.
Chat with your agent that lives in your system to do anything.
Enterprise Solutions
Discover how businesses leverage our AI platform to transform operations and drive innovation.
Audit domain-specific regulation with internal company policies & systems to keep you compliant.
Connect with SQL databases, CSVs, IoT, and other data sources to provide insights and visualizations.
Automate critical financial transactions workflows at large scale, keep sensitive data private and secure.
Supported Models
Customize your AI models, integrate with APIs, and download your own weights.
Competitive Advantage
| Feature | Other Providers (Closed Source Models) | In-House (Internal AI Dev Team) | TagflowAI (Open-source & Custom) |
|---|---|---|---|
| Provable Zero Data Sharing | No | Yes | Yes |
| Cloud Convenience | Yes | No | Yes |
| Full Audit & Governance | Limited | Yes | Yes |
| Predictable Costs | Pay per token | High | Low |
| Time to Deploy | — | 12–18 months | <1 week |
| Maintenance & Updates | — | High | Low |
| Scalability | Good | Poor | Good |
Common Questions
Tagflow AI protects your data with either TEE-encrypted cloud deployment or a private deployment on your own machine or server. Your prompts, documents, responses, and model weights stay protected, with access limited to your authorized users.
Yes. Tagflow AI supports OpenAI-compatible APIs for chat, embeddings, and responses, so most existing OpenAI-style applications can connect by changing the base URL and API key. We also provide SDK support for Python and JavaScript.
Blocking AI often creates shadow usage. Tagflow AI gives employees a secure AI workspace while giving your company control over data access, usage visibility, governance, and deployment.
Tagflow AI can run on cloud GPUs, existing on-premise GPU infrastructure, dedicated private servers, or local machines depending on your workload. Air-gapped and private deployments are supported.
No. Tagflow AI is designed for business and technical users. Employees get a familiar AI assistant experience, while IT and security teams manage infrastructure, access, monitoring, and compliance controls.
Tagflow AI supports secure chat, document Q&A, PDF and OCR processing, embeddings, RAG pipelines, code generation, agent workflows, multimodal inputs, and tool integrations such as MCP.
Tagflow AI gives you control over the stack, so you can adjust retention rules, audit logs, access controls, model policies, and deployment settings as requirements change.
Tagflow AI provides platform updates, security patches, and support for new models. You decide when updates are deployed, and they run within your chosen environment.
Get in Touch
Discover how our custom-built AI solutions can transform your operations and elevate customer interactions with a live demo. Experience firsthand how seamless data labeling, model fine-tuning, and synthetic data generation can be when powered by intelligent automation.
Tagflow AI, Inc — San Francisco, CA
Our partners: Antler, NVIDIA Inception, Web Summit.