Compatible with leading models. Integrations only; no partnership or endorsement is implied.
- OpenAI
- Anthropic Claude
- xAI Grok
- DeepSeek
- Z.ai
- Qwen
- Your local models
TechMaju AI Engine
Enterprise AI agents, built for your business. Governed from the start.
Configure production-ready enterprise AI agents with your company's data, tools and permissions. Run on any leading model or on local AI inference in your own environment, deploy on-premises, and work in Bahasa Indonesia or English.
At a glance
- Models
- Any leading model or your local models
- Deploys
- On-premises or Indonesian cloud
- Chats in
- Bahasa Indonesia and English
- Controls
- Permissions, execution modes, full trace
- Grounded in
- Knowledge Fabric or your own data
Spec sheet · AI Engine 10 facts: What it is · Built for · Models · Controls and more View allClose
- What it is
- A platform for building governed enterprise AI agents with your context, tools and permissions
- Built for
- Operations, IT, security and support teams in regulated enterprises
- Models
- Compatible with OpenAI, Anthropic Claude, xAI Grok, DeepSeek, Z.ai and Qwen, or local inference clusters
- Controls
- Permissions, execution modes such as read-only, pre-run limits and a full trace of every action
- Knowledge
- TechMaju Knowledge Fabric, or your own documents and data
- Work types
- From single questions to multi-step agentic workflows
- Languages
- Bahasa Indonesia and English
- Deployment
- On-premises in your data center, or managed cloud hosted in Indonesia
- Onboarding
- Onboarding, implementation and enablement by TechMaju
- Pricing
- Enterprise license, quoted after a discovery session
Domain-ready by design
No generic copilot. A configured specialist.
Every agent is assembled from three things you control. Operational AI that does work with your tools, not just answers questions.
- 01
Context
Ground it in context
Business data, documents and instructions keep each agent grounded, so every answer reflects how your company actually works.
Business dataDocumentsInstructions
- 02
Skills
Equip it with skills
Tools and workflows are configured for the work each role needs to do, from document review to platform operations.
ToolsWorkflowsDoc reviewPlatform ops
- 03
Control
Set the boundaries
Permissions and execution modes define exactly how far each agent can go, before it ever runs.
PermissionsExecution modesPre-run limits
Model gateway
One gateway. AI orchestration across every model.
Swap providers centrally, including a local cluster in your own data center, and every agent picks up the change.
Every modality. Text, vision, image and video models from one control point.
Example patterns
Where agents help first.
Shown for illustration. Agents assist your employees and never reply to customers directly.
Help desk research. Researches ticket history so L2 staff diagnose issues faster. Internal only.
Security investigation support. Helps blue teams investigate endpoints and draft reports, read-only, in an isolated workspace.
Governed AI, with a full trace. Permissions and execution modes wrap every interaction, with a full trace of conversations, outputs and usage.
From quick asks to agentic workflows. Ask a question, or hand off a multi-step workflow that plans, acts and verifies across tools.
Deployment and data
Runs where your data has to stay. On your premises or on cloud hosted in Indonesia.
On-premises. Installed in your own data center, under your security controls. Banks ask for this first, so every product is built for it.
Managed cloud in Indonesia. Operated by TechMaju on BytePlus infrastructure in Indonesia. Other clouds on request.
Sovereign local AI inference. Run models on local inference clusters in your own environment, so model processing stays under your control.
Questions
What buyers ask first.
01 How is AI Engine different from a general-purpose AI chat assistant?
A general assistant works without your context or controls. AI Engine agents are configured with your data, tools and permissions, run in modes such as read-only, keep a full trace of every action, and can use local models on-premises.
02 Is AI Engine tied to one model provider?
No. It is model agnostic, so you can switch or mix providers centrally without changing any agent's workflow.
03 What is TechMaju AI Engine?
A platform for building governed enterprise AI agents with your company's context, tools and permissions, using any leading model or your own local models.
04 Which AI models does it support?
It is model agnostic and compatible with models from OpenAI, Anthropic (Claude), xAI (Grok), DeepSeek, Z.ai and Qwen, configured from one gateway.
05 Can it use local models on-premises?
Yes. It connects to sovereign local inference clusters, so model processing stays in your environment.
06 Does it support Bahasa Indonesia?
Yes. Agents chat in Bahasa Indonesia and English.
07 How do you control what an agent can do?
Each agent has permissions and an execution mode, such as read-only, set before it runs, and every action is traced.
08 Can it use our company knowledge?
Yes. Pair it with TechMaju Knowledge Fabric, or ground agents in your own documents and data.
Start with a discovery session
Put governed, production-ready AI agents to work.
Build enterprise AI agents for guardrailed, agentic workflows, on the models and infrastructure you choose.
To[email protected]
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