From fragmented data to the intelligent answer.
How Timestamp designs, deploys and operates modern data & AI platforms — from semantic architecture to 24×7 managed services in production.
In large organizations, data lives on islands.
ERP — SAP · Oracle · Infor
- Financial management
- HR · Procurement · Logistics
Cloud Data Platform
- Business apps · CRM
- Customer analytics · BI
System events
- Online behaviour · IoT
- Operational signals · APIs
Same real data, different identities. The ERP speaks in codes, digital in events, operations in transactions. Reconciling them takes weeks.
AI is only as solid as the data under it.
Put a model on top of unreconciled data and you get a confident answer nobody can defend. The foundation is the product.
A three-layer knowledge model.
AI chat, BI or APIs
Everyone queries the same model. Every tool returns the same answer.
Product, Customer, Sale, Relationship — defined once
The shared translator so all technology speaks the same language.
SAP, data lakes, streaming, apps
We extract data without modifying or migrating the original systems.
Business knowledge stays in the company — not buried in each system's code. Any tool you connect afterwards already understands how it works.
How a data point travels the platform.
Raw data
SAP, cloud warehouses, streaming and apps — each in its own language.
Arrives in order
Continuous, orchestrated, reliable ingestion — without touching the source.
Gains meaning
The brain: every system speaks the same business language.
Reasons over it
Semantic intelligence and retrieval-augmented generation with real context.
Reaches the decider
Natural language, trusted BI or APIs — the same truth for everyone.
“Which assets in segment X have high turnover in one region and low digital conversion in Q1?” — answered in seconds, no SQL and no data meetings.
ARGOS connects, governs and serves your data.
A self-hosted platform that integrates virtually any source, catalogs and governs every data point, and makes it ready for apps and AI.
ready-made connectors to replicate data from almost any system — without touching the source.
Integrable sources
- Databases, SaaS, APIs and files
- Replication without touching the source
- Incremental, scheduled ingestion
Knowledge of every data point
- Catalog, glossary and end-to-end lineage
- Quality, profiling and PII detection
- An MCP server: the catalog accessible to AI agents
Data ready to build on
- Managed PostgreSQL with REST & GraphQL APIs
- Auth, row-level security and S3 storage
- pgvector — vector search for AI / RAG
A business question, answered.
Ontology
Translates “segment”, “turnover”, “conversion” into real concepts.
Knowledge graph
Joins sources that never spoke before — no manual SQL.
AI engine
Reasons with business context and drafts the answer.
The same answer for leadership, analytics and any connected app — because everyone queries the same semantic model.
Two hours with our technical team.
Free, no commitment. We audit your current data architecture and identify concrete quick-wins.