Five layers between your data and a decision
The platform doesn't replace your systems. It connects to them, builds a shared model of the organization and gives AI agents safe access to it. Every layer can be inspected, configured and deployed wherever your security policy requires.
How it's built
Bottom to top: from data sources to the people making decisions. The governance layer runs through every level.
Where people work
Executive console, web app, corporate chat, voice, and embedding into your own systems.
Who does the work
AI agents with a role, instructions and a set of permitted actions: find, calculate, draft, send for approval.
What connects to what
Objects and relationships: counterparty → contract → invoice → payment → owner. One source of truth for every department.
How data gets in
APIs, database replicas, exports and document processing. Synced on a schedule or in real time.
Your systems, unchanged
ERP and accounting, CRM, databases and data warehouses, documents, email, telephony, corporate chat, cameras.
The cross-cutting layer
Access rights, audit log, human approval, limits, masking of personal data.
Modules on one data model
We start with one module aimed at the most expensive problem. Later modules plug into the model that's already built, so each one ships faster than the last.
Executive
A leadership console: plain-language questions, a daily digest of deviations, tracking of directives, answers linked to their sources.
Operations
Agents for routine processes: reconciliations, requests, deadline tracking, drafting letters and reports, task routing.
Documents
Reading scans and PDFs, extracting key fields, checking contracts against a checklist, searching the archive.
Knowledge
A corporate knowledge base of policies, procedures and regulations. Staff get answers quoted from the source document.
Voice
Speech recognition and synthesis in several languages, including Uzbek. Voice agents for contact centers, hotlines and mobile apps.
Vision
Video analytics on your existing cameras: people counting, zone occupancy, process and safety monitoring.
An agent is an employee with instructions and limits
An agent isn't a smart chat. It has a role, access to specific data, a list of permitted actions and rules for when to ask a human.
- An agent's rights never exceed those of the user it acts for
- Actions that change data go through approval
- Every answer links to a document or record
- When data is insufficient, the agent says so rather than inventing an answer
- Quality is checked against a reference question set before every update
Frontier intelligence or sovereign models. Your choice.
The platform is model-agnostic. Choose frontier models through enterprise APIs, run open models trained on your own data inside your perimeter, or combine both. A model can be swapped without rebuilding the solution.
OpenAI, Anthropic and other leading models
Through enterprise APIs whose terms exclude training on your data. The strongest reasoning for analysis, documents and agents.
- Fastest to start
- Best general reasoning
- Data masked before it leaves
Local models trained on your data
Open models deployed on your servers or in an air-gapped network, fine-tuned on your documents, terminology and processes. Nothing leaves your perimeter.
- Fine-tuning on your corpus
- Our own security architecture
- Works with no internet access
The right model for each task
Routing sends sensitive or routine work to local models and hard reasoning to frontier models, within the rules your security team sets.
- Policy-based routing
- Cost control per request
- Full audit of every call
Four ways to deploy
The choice depends on data sensitivity, regulatory requirements and your IT policy. Platform functionality is the same in every option; what differs is which language models are available.
| Option | Where the data lives | AI models | Best for | Time to deploy |
|---|---|---|---|---|
| BlackGust Cloud | Data center in Uzbekistan | Cloud and local | Companies that want a fast start | Days |
| Private cloud | Your cloud account | Cloud and local | Companies with a cloud policy | 1–2 weeks |
| On-premises | Your servers | Local; cloud by agreement | Banks, large holdings | 2–4 weeks |
| Air-gapped | Isolated network with no internet | Local only | Government, critical infrastructure | 4–8 weeks |
Timelines cover platform deployment and depend on the client's infrastructure readiness.
Technical overview
A short brief for architects and CIOs. Full technical documentation is available under NDA.
See the platform on your own scenarios
A demo takes about an hour. Bring your IT and security leads.