Knowledge search with citations
Find
Ask in plain language across your own documents. Answers cite their sources, and permissions decide what each person can see.
Enterprise AI that stays inside your boundary
Models, data and search run on your own infrastructure, on premises or in your private cloud. Every answer cites its source.
Trusted on systems that cannot fail
200+
Engineers
Across Hanoi, Aachen and Tokyo
93%
Client retention
Across all projects
12+
Years
Engineering for enterprise clients
15
Countries
Where we've delivered
The problem
Why enterprise AI stalls before production
The model is rarely the blocker. Data rules, evidence and permissions decide whether an AI pilot can go live.
- 01
Your data cannot leave the building
Contracts, designs and customer records cannot go to a public AI service. Useful pilots stop at the security review.
- 02
Answers without sources cannot be used
Engineers, lawyers and auditors trace every figure back to the original document before they act on it.
- 03
Every source has its own permissions
Knowledge sits across file shares, wikis and business systems, each with its own access rules. A shared index has to keep them.
What it does
Find, draft and act inside your boundary
Three kinds of work, one private platform. Your data, models and logs stay on your infrastructure.
Drafting from approved sources
Draft
Turn approved documents into reports, summaries and tables. Every figure links back to where it came from.
Agents with human approval
Act
An agent prepares the work and a person approves it before anything changes in your systems.
See agentic process transformation What we build
A private AI platform, built inside your site
Data, models and infrastructure stay under your control. Only sign-in reaches outside the boundary.
Enterprise-ready
Private, secure and yours to run
Private by deployment
Runs on premises, in your private cloud or fully air-gapped. Only sign-in leaves the site.
Your permissions on every answer
Roles from your corporate directory filter every query, so an answer only cites what that person can open.
Audit-ready from day one
Every question, source, answer and approval is recorded in your own logs.
Certified engineering
ISO 27001 and ISO 9001 certified. Every release is tested, scanned and signed before it reaches your site.
The workspace
What your teams work with
Answers that show their sources
Ask across the documents you can open. Every answer cites its sources and says what it could not find.
Key dates and obligations, extracted
Pick documents, then summarize, compare or pull out deadlines and risks, each linked to its clause.
Sources indexed where they live
SharePoint, file shares and wikis stay where they are. Each source keeps its own access rules.
Usage and limits per team
Admins see questions, model tokens and budget for each team, and set limits that apply on the next request.
Case study · Materials engineering
A knowledge hub with a source behind every answer.
Critical project knowledge sat across thousands of specifications, datasheets and research reports. Filename search could not find engineering meaning, and an answer without a source was not usable.
We built AmatriumGPT on Azure: one search index for the full library, cited answers engineers can verify, and format-preserving translation between English and Japanese.
Results
- Kickoff to production
- 5.5 mo
- Seats and document uploads
- Unlimited
- Less time on document queries
- 30-40%
- Sector
- Manufacturing, United States
- Engagement
- Project-based, 5.5 months
How we work together
Start with sizing. Scale from a working site.
- 01
Architecture and sizing
Deployment design, GPU and storage sizing, security review and a costed plan for your site.
Fixed price
- 02
Private AI build
Our project team builds and tests the platform, then installs it inside your boundary, milestone by milestone.
Fixed price per milestone
- 03
Managed run
We monitor, patch and release it, or hand it over to your team with a runbook and on-call support.
Monthly retainer
Certified, accredited and independently reviewed
Explore other services
All services FAQ
Frequently asked questions.
Something not covered here? Ask an engineer directly, no SDRs, no funnel.
Can it run fully air-gapped?
Yes. Models, search and applications run on hardware inside your site. In an air-gapped deployment nothing connects to the internet, and updates arrive as signed, tested releases through your own transfer process.
Which models can we use?
Models you are licensed to run on your own hardware, including open-weight models, sized to your GPUs. Where your policy allows it, a private cloud tenant can also host commercial models. We confirm the choice during architecture and sizing.
How are permissions kept in search?
Each source keeps its own access rules. The index records who may see each document, and every query is filtered by the person's roles from your directory, so an answer only cites what that person can open.
Who owns the platform and the data?
You do. You own all IP, including the code, the configuration and the specifications, and the platform runs in your environment. You also get direct access to our founders and board from kickoff.
How does this relate to Mekong OS?
Mekong OS is Eastgate's platform for agentic process transformation. When you move from answering questions to running governed workflows with human approval, it can run inside the same private boundary.
Contact
Let's Work Together
German engineering discipline meets private AI delivery. Send a short note and we'll reply within one business day, straight to an engineer, no SDRs, no funnel.
- Email[email protected]
- Phone(+84) 246.276.3566
- Response TimeWithin 1 business day