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FAQ

Common Questions

Everything you need to know about ALTAI, from our technology to implementation and security.

Getting Started

Any open-source model: Llama 3, Mistral, Gemma, Phi, Qwen, and more. We continuously add new models as they are released. You pick the model that fits your use case — we handle the infrastructure.
No. ALTAI is 100% no-code. If you can upload a file and click a button, you can train and deploy a custom AI model. No ML engineers, no data scientists, no DevOps team required.

You can use a wide range of data sources:

  • Documents: PDFs, DOCX, spreadsheets, text files — upload your raw files directly.
  • Structured datasets: Bring your own Q&A pairs or instruction sets.
  • Synthetic data: Our AfterImage engine can generate training data from your unstructured documents automatically.

Data & Security

No. ALTAI supports fully on-premise and VPC deployment. For high-security environments, the platform runs in air-gapped mode with zero internet connectivity. Your data never leaves your firewalls.
Yes. All data processing happens locally on your infrastructure with encryption for data at rest and in transit. ALTAI helps organizations maintain full data sovereignty and comply with strict data protection regulations.

Training & Deployment

AfterImage analyzes your raw documents and automatically generates thousands of high-quality Q&A pairs and instruction sets needed for fine-tuning. You upload your documents, AfterImage structures them into training-ready data. No data preparation or data engineers required.

You choose the deployment architecture that fits your security and performance needs:

  • On-Premise: Run on your own physical servers behind your firewall.
  • Private Cloud (VPC): Deploy in your isolated cloud environment.
  • Air-Gapped: Zero internet connectivity for maximum security.
  • Public Cloud: Use managed cloud infrastructure for flexibility.
Yes. After training your model, you can create AI agents with custom instructions, connect them to your internal systems, and deploy them across your organization — from customer support to internal knowledge bases to domain-specific copilots.

Pricing & Support

Predictable subscription pricing. No token-based charges, no hidden API costs. Because we use optimized open-source models, inference costs are 10-50x cheaper than commercial LLM APIs like GPT or Claude.
Depending on your data size, you can go from raw documents to a deployed, fine-tuned model in hours — not months. Upload your documents, let AfterImage generate the training data, click train, and deploy.