01Problem
Disconnected Data Ecosystem
Multiple systems operate without unified governance.
Trust Score48%
Hover to exploreTap to exploreEnterprise AI starts with data you can trust.
Solutions
How we govern your AI estate end to end
Three integrated layers — foundation, interface, engine. Each one shown the way we actually pitch it: the problem, what we do about it, and how you check that it worked.
Data Governance
01 — Foundation
01 — FoundationEvery asset catalogued, every lineage drawn.
Data catalog, business glossary, stewardship workflows and automated lineage across 170+ connectors.
Explore data governance02Solution
Unified Data Governance
Discover, catalog and govern enterprise metadata.
Connected Sources12
Hover to exploreTap to explore03Proof
Trusted Enterprise Data
Reliable data ready for analytics.
Governance Score99%
Hover to exploreTap to exploreAI Orchestration
HAVAA02 — Interface
HAVAA02 — InterfaceOne agent, every channel, held to policy.
Omnichannel AI across Telegram, WhatsApp, web, mobile and email — in Azerbaijani, English and Russian.
Explore AI orchestration01Problem
Every Channel at Once
Messages arrive faster than a team can answer them.
On-Time Replies31%
Hover to exploreTap to explore02Solution
One Governed Agent
Drafts a reply, checks it against policy, escalates to a human.
Channels Live5
Hover to exploreTap to explore03Proof
Zero-Backlog Support Desk
Every reply logged with its policy and approver.
Answer Rate99%
Hover to exploreTap to exploreData Lakehouse
03 — Engine
03 — EngineAnswers from the lake, not from a copy.
Federated analytics on Trino and Apache Iceberg — querying 50+ sources where they already live.
Explore the data lakehouse01Problem
A Chain of Copies
Every question means another extract, load and rebuild.
Data Freshness52%
Hover to exploreTap to explore02Solution
Query It Where It Lives
Federate every source with no copy and no pipeline.
Sources Federated50
Hover to exploreTap to explore03Proof
Answered From the Lake
One query, live data, nothing copied.
Live Data100%
Hover to exploreTap to exploreAI governance framework
A layered system — each pillar builds on the one before it. Start with AI Inventory and build outward from there.
01
AI Inventory
Know every AI system running in your organization.
A live register of every model, agent and tool — with shadow-AI detection, risk scoring and a named owner for each system.
02
Data Lineage
Trace where data comes from and where it flows.
Source-to-dashboard tracing: origin, every transformation, the pipeline map, and impact analysis in both directions.
03
Data Quality
Ensure the data feeding your models can be trusted.
Validation rules, duplicate detection, freshness and schema checks that catch bad data before a model ever sees it.
04
Data Security
Protect data at rest, in transit, and in use.
Encryption, anonymization, threat detection and immutable secure storage across data at rest, in transit and in use.
05
Access Control
Make sure only the right people reach the right systems.
Role-based access, strong identity, multi-factor authentication and least-privilege policies at every decision point.
06
Human Oversight
Keep people accountable for what the AI decides.
Decision review, escalation rules, bias monitoring and output validation that keep a named person accountable.
07
Compliance Tracking
Map your controls to the regulations that apply.
Your controls mapped to the EU AI Act, GDPR and ISO 42001, with the evidence kept continuously audit-ready.
08
Audit Logs
Keep a durable record of who did what, and when.
A tamper-evident record of every access, change and query — who did what, and exactly when.
How mature is your data estate?
Twelve minutes, scored live against the framework we are audited on. No sales call required to see your number.
Start the assessmentScored against ISO 42001
Use cases
Three layers, governed end to end
The solutions above, shown by what each one puts into production — foundation, interface and engine, all under one governance framework.
170+
Every asset catalogued and traced
Data catalog, business glossary, stewardship workflows and automated lineage drawn source to dashboard across 170+ connectors.
5 channels
One governed agent, every channel
Omnichannel AI across Telegram, WhatsApp, web, mobile and email — in Azerbaijani, English and Russian, each reply checked against policy before it sends.
50+
Answers straight from the lake
Federated analytics on Trino and Apache Iceberg across 50+ sources — no copies, no pipelines to maintain.
ISO 42001
Governed against the standard
An eight-pillar framework mapped to the EU AI Act, GDPR and ISO/IEC 42001 — the standard we are certified on.
From the Journal
On AI governance, lakehouse architecture and what the ISO 42001 audit actually asks for.
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Sovereign AI means running AI entirely under your own legal and physical control. What that requires technically, what it costs, and why…
Read the postEnterprise AI in Azerbaijan: Adoption, Barriers and What Actually Works
What enterprise AI adoption looks like in Azerbaijani banks and government: the real barriers, the use cases that reach production, and the…
Read the postWhat Is AI Orchestration? Agents, Workflows and the Enterprise Control…
AI orchestration is the layer between your models and your business systems: routing, tool access, state, permissions and audit. Why an LLM…
Read the postDeploying LLMs On-Premise: Architecture, GPU Sizing and Real Costs
A practical guide to running large language models in your own data centre: the hardware you need, how to size it, what…
Read the postPartners
The platforms we deliver on
We build on a small number of platforms and know each one to the depth an audit requires. Hover a logo to see what it covers.
