Smarter responses.
Powered by your internal knowledge — every answer backed by real sources.
The foundation for business AI
amber is the data layer between your knowledge and AI.
Connect scattered company data once. Let amber understand, structure, and govern it. Then give every search, assistant, and agent the precise context it needs.
✓ Permission-aware
✓ GDPR compliant
✓ No training on your data
Optimized context.
35–40% fewer tokens per request through intelligent retrieval and prompt engineering.
More with less.
Reduced compute costs, maximized output — real ROI on every interaction.
One shared foundation for the complete amber AI platform.
70+integrations across business systems
400+companies already using amber
1 layerfor search, assistants, and agents
Why the foundation matters
One data layer improves every AI use case.
Instead of rebuilding retrieval, permissions, and context for each assistant or agent, amber makes the foundation reusable.
Better answers through better context
amber understands meaning, relationships, versions, and ownership so the model receives the right information instead of an unsorted pile of text.
A shared foundation for every application
Search, assistants, agents, and future workflows all draw on the same governed knowledge base. Improve it once and the entire AI platform improves.
Company knowledge stays under control
Permission-aware retrieval, European hosting, GDPR alignment, and no model training on your company data protect the layer your AI depends on.
Lower cost per answer as usage grows
Knowledge is prepared once instead of rediscovered through multiple expensive search passes for every new request, assistant, or agent.
The architecture decides the outcome
The model is not the missing piece. The data layer is.
Business AI fails when the model receives the wrong context: stale files, missing relationships, duplicated content, or information the user should never see.
A
Build a shared data layer
Prepare knowledge once. Use it everywhere.
Understood company knowledge
→
Every AI application
- Semantic context is ready before each query
- Permissions and freshness stay synchronized
- Each new use case reuses the same foundation
B
Send everything to the model
Fast to demo, difficult to operate.
Large document dump
→
LLM
- High token usage on every request
- Constant re-uploads for new versions
- Access rights are easily lost
C
Search every system again
Many queries, inconsistent context.
Repeated live searches
→
LLM
- Quality depends on every source system
- Multiple retrieval passes add latency
- Costs rise with every question
How amber works
From scattered systems to AI-ready company knowledge.
amber creates a prepared, permission-aware representation of what your organization knows and makes it available to every AI experience.
1
Connect
Bring together documents, databases, intranets, collaboration tools, and business applications.
2
Understand
Resolve meaning, versions, relationships, ownership, and context beyond basic keyword matching.
3
Govern
Synchronize access rights, updates, and deletions so every result respects the source system.
4
Serve
Deliver precise context to amberSearch, amberAI, amberAgents, and external AI applications.
A foundation, not another isolated tool
Build business AI once. Extend it everywhere.
Every new AI use case becomes easier when it starts with a mature data layer instead of solving the knowledge problem from scratch.
amber data layerone governed knowledge foundation
amberSearchPrecise, contextual, permission-aware answers.
amberAIYour company GPT, grounded in internal knowledge.
amberAgentsActions and automation built on reliable context.
amberProjectsFocused workspaces with chat, history, and results.
Consistent knowledgeThe same current, permission-aware source supports every product and workflow.
Faster rolloutNew assistants and agents can focus on their task instead of rebuilding connectors and retrieval.
Safer automationAgents act on governed context, reducing the risk of decisions based on stale or inaccessible information.
Security and sovereignty by design
Your company brain should remain your company brain.
amber keeps the prepared knowledge layer under European control and maintains the access rules that already exist in your source systems.
✓Hosted under German and European sovereignty
✓GDPR compliant and ISO 27001 certified
✓No training on your company data
✓Permissions preserved end to end
Economics that improve with adoption
Prepare knowledge once. Spread the investment across every answer.
A data layer requires an initial foundation, but it avoids repeated retrieval work every time usage increases.
Cost per answer as usage grows
Data layer Search every time
Cost per answerAI usage across the company
1
Less repeated retrieval
The AI reaches prepared knowledge directly instead of searching every source in several passes.
2
Less unnecessary context
Better retrieval means fewer irrelevant tokens have to be sent to the model.
3
More value from each connector
The same connected knowledge supports every team, assistant, and agent.
Evaluate your AI foundation
Six questions every enterprise data layer should answer.
✓
Is company knowledge prepared once rather than searched from scratch for every prompt?
✓
Can AI retrieve the right context in one step without constant follow-up queries?
✓
Are meaning, relationships, versions, and ownership represented beyond keywords?
✓
Do employees, assistants, and agents draw on the same knowledge foundation?
✓
Does the prepared knowledge remain under European control with no model training?
✓
Are source-system access rights preserved throughout the entire path?