On-premises. Installed in your own data center, under your security controls. Banks ask for this first, so every product is built for it.
TechMaju Knowledge Fabric
Enterprise knowledge, kept private. One governed layer for your people and your enterprise AI agents.
A private, on-premises AI knowledge layer for banks and regulated enterprises. Our team sets it up end to end, so employees and enterprise AI agents get permission-aware answers in Bahasa Indonesia and English.
At a glance
- Built for
- Banks and regulated enterprises
- Deploys
- On-premises first, or Indonesian cloud
- Setup
- Done end to end by TechMaju
- Answers in
- Bahasa Indonesia and English
- Works with
- AI Engine or your own AI tools
Spec sheet · Knowledge Fabric 9 facts: What it is · Built for · Setup · Answers and more View allClose
- What it is
- A private, on-premises AI knowledge layer that answers questions from your approved documents
- Built for
- Banks and regulated enterprises
- Setup
- Done end to end by TechMaju: vector database, embedding model, reranker and retrieval tuning
- Answers
- Grounded in your sources, with citations
- Permissions
- Answers draw only on sources the person or agent asking may see
- Languages
- Bahasa Indonesia and English
- Works with
- TechMaju AI Engine, or your existing chat and AI tools
- Deployment
- On-premises first, or managed cloud hosted in Indonesia
- Pricing
- Enterprise license, quoted after a discovery session
The intelligence layer
One trusted knowledge layer.
Your knowledge already lives in policies, procedures, handbooks and records.
TechMaju sets up the full pipeline inside your environment: the vector database, embedding model and reranker, configured with proven retrieval practices. Your teams get a working knowledge layer without having to build one. When deployed on-premises, embedding and reranking run inside your environment, so documents stay under your control.
How we set it up
From scattered documents to trusted answers. Four steps, done by our team inside your environment.
- 01
Map your knowledge
We work with your teams to identify the authoritative sources.
- 02
Build the layer
We deploy the retrieval pipeline in your environment and tune it to your content.
- 03
Apply access governance
Answers draw only on sources the person or agent asking may see.
- 04
Hand over and improve
Your team gets a working layer and documentation, and we keep tuning answer quality.
One layer. Two ways to use it.
Built for people. Ready for enterprise AI agents.
- 01Trusted answers for employees. Find the current, approved answer in seconds instead of searching shared drives.
- 02Grounded knowledge for AI agents. Agents get permission-aware context from enterprise sources, with citations.
- 03Ask in Bahasa Indonesia or English. The same sources answer in either language.
Question
What is the approval process for a new vendor?
Grounded answer
New vendors must complete legal, finance and security review before onboarding. Purchases above the approval threshold require executive approval.
Permission verified3 sourcesCurrent and approved
- 01Vendor Onboarding Policy
- 02Procurement Approval Matrix
- 03Information Security Review
Question
Bagaimana proses persetujuan untuk vendor baru?
Grounded answer
Vendor baru wajib melalui tinjauan legal, keuangan, dan keamanan sebelum onboarding. Pembelian di atas batas persetujuan memerlukan persetujuan direksi.
Permission verified3 sourcesCurrent and approved
- 01Kebijakan Onboarding Vendor
- 02Matriks Persetujuan Pengadaan
- 03Tinjauan Keamanan Informasi
Use it your way
With AI Engine, or on its own.
Knowledge Fabric serves your people and any AI that needs grounded answers.
Deployment and data
Runs where your data has to stay. On your premises or on cloud hosted in Indonesia.
Managed cloud in Indonesia. Operated by TechMaju on BytePlus infrastructure in Indonesia. Other clouds on request.
Bahasa and English. Every answer in Bahasa Indonesia or English, drawn from the same approved sources.
Questions
What buyers ask first.
01 How is Knowledge Fabric different from enterprise search?
Enterprise search returns a list of documents. Knowledge Fabric returns a grounded answer with citations, respects each person's permissions, answers in Bahasa Indonesia or English, and serves AI agents as well as people.
02 How is it different from building our own retrieval system?
Instead of assembling and maintaining a vector database, embedding model, reranker and retrieval tuning yourself, you get a working on-premises pipeline set up and tuned by our team.
03 What is TechMaju Knowledge Fabric?
A private, on-premises AI knowledge layer that turns your policies, procedures and documents into permission-aware answers for employees and enterprise AI agents. TechMaju sets it up end to end.
04 Can it run fully on-premises?
Yes. It is designed for on-premises deployment, with managed cloud hosted in Indonesia as an option.
05 Does it answer in Bahasa Indonesia?
Yes, in Bahasa Indonesia and English.
06 Who sets it up?
Our team. We deploy the vector database, embedding model and reranker, and tune retrieval to your content.
07 Do we need AI Engine to use it?
No. It works with TechMaju AI Engine or on its own with the tools your teams already use.
08 How does it handle permissions?
Answers draw only on sources the person or agent asking is allowed to see.
Start with a discovery session
Bring private AI knowledge inside your own environment.
Give your people and enterprise AI agents one governed place to find knowledge they can trust, set up by our team.
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