Natural-language BI
Ask in plain language; the system writes SQL, runs it read-only and answers — alongside live KPI dashboards built on your own database.
- Trilingual: AZ, RU, EN
- Least-privilege, SELECT-only access
- Shows the SQL for every answer
Data & analytics AI
Ask your data a question. Trust the answer.
Business intelligence you can talk to, reading your databases in place through a read-only role and showing the SQL behind every answer — plus a master-data studio that turns messy, duplicated records into one governed source of truth.
Request a pilot on your dataThe problem
Why this matters
SQL required
Locked-away data
The answers are in your database, but only SQL-fluent people can get them out.
Weeks-long queue
Analyst bottleneck
Every new chart waits on an overloaded data team.
Dozens of spellings
Duplicate records
The same item is written many ways, so nobody knows how many distinct items exist.
Miscoded
Spend doesn’t roll up
Wrong-field values and inconsistent categories corrupt every downstream report.
What you get
Capabilities
AI master data management
Deterministic matching clusters and merges duplicate records; an LLM proposes fixes where rules fall short; your data steward approves.
- Standard taxonomy classification (UNSPSC)
- Quality tiers and a data-quality dashboard
- Reversible edits with full lineage
How it works
From input to outcome
- 1 Connect your database or data extract
- 2 Normalise, match and classify records
- 3 Stewards review and publish the golden record
- 4 Ask questions and build dashboards on clean data
- 5 Every answer and change is traceable
Deployment & trust
Yours to control
Self-hosted and read-only by design. Your data is queried in place, never copied to a third-party warehouse, and no AI proposal reaches the master without human approval.
- Hosting
- On-prem
- Languages
- AZ · RU · EN
- Data egress
- None
Who it’s for
Made for the people who use it
Executives
Top-line KPIs and trends without waiting on an analyst.
Analysts
Let the tool draft SQL you review and refine.
Data stewards
A workbench to review, correct and publish a master you can stand behind.
Procurement heads
Spend that rolls up by real category, with match health tracked for sign-off.
In oil, gas & energy
Where it applies on the asset
Materials & spare-parts catalogues
De-duplicate MRO item masters across sites and systems so inventory and spend are visible.
Operational reporting
Let managers query production, maintenance or HSE databases in plain language.
Vendor master clean-up
Merge duplicate supplier records before an ERP migration.
FAQ
Questions
Which databases are supported?
PostgreSQL out of the box; other sources are connected through extracts or replicas scoped during discovery.
Can the AI change our data?
No. Analytics runs through a SELECT-only role, and master-data changes are stored as reviewed overrides that can be undone.
Related
Source-to-pay AI
Supplier matching, tender monitoring, procurement-law guidance, contracts and invoices in one AI chain.
Custom AI development
Fine-tuned models, agentic workflows and complete AI products, built for your process and deployed privately.
AI strategy
Not sure where to start? A fixed-scope discovery sprint maps your use cases first.
See it on your own data
A pilot runs on your documents, calls or records — measured against criteria we agree up front.