raytec
ID
03

AI Solutions

Applied machine intelligence and automation layers that adapt products to individual intent in real time.

AI is most valuable when it removes real work. We start from the process — the documents, decisions, and hand-offs — and apply the simplest model that reliably improves it.

Every system we ship includes evaluation, human review where it matters, and monitoring, so you can trust the output and see the impact.

Close-up of an AI chip

What we deliver

  • AI assistants

    Chat and voice assistants grounded in your own knowledge base, with citations and access control.

  • Document automation

    Extracting, classifying, and validating data from invoices, forms, and contracts.

  • Workflow agents

    Multi-step automations that take actions in your systems with approvals and audit trails.

  • Predictive analytics

    Forecasting and scoring models built on your historical data.

  • AI integration

    Adding AI features to existing products safely, with cost and latency budgets.

  • Evaluation & guardrails

    Test sets, red-teaming, and monitoring that keep quality high after launch.

How an engagement runs

  1. Use-case discovery

    We rank opportunities by value, feasibility, and risk.

  2. Prototype

    A working proof of concept on your real data within weeks, not months.

  3. Productionise

    Security, evaluation, monitoring, and integration into your systems.

  4. Improve

    Feedback loops and regular reviews to keep accuracy and costs on track.

Tools we use

  • Large language models
  • Retrieval-augmented generation
  • Vercel AI SDK
  • Python
  • PyTorch
  • scikit-learn
  • Vector databases
  • OCR & computer vision

Frequently asked questions

Is our data used to train public models?

No. We use providers and configurations that do not train on your data, and we can deploy on infrastructure you control when required.

Which models do you work with?

We are model-agnostic and pick per use case — from hosted frontier models to smaller open models — balancing quality, latency, and cost.

How do you measure whether AI is working?

We define success metrics and an evaluation set up front, then track them in production alongside human feedback.

Can AI work with documents in Bahasa Indonesia?

Yes. We design and evaluate for Indonesian and English content, including mixed-language documents.

Let's scope your AI Solutions project.

Share a few details and we will come back with a plan, a timeline, and a budget range.

Talk to us