Platform

Everything your organisation needs
to trust its data

Six core capabilities built to work together from day one: connecting your data sources, ensuring quality, and putting natural language answers in the hands of every decision-maker.

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AI Chat Interface

Natural language · Multi-model

Ask any question about your organisation's data in plain English and receive an instant, sourced answer. [NAME] understands business context, not just database schema, so a CFO can query just as effectively as a data engineer.

All AI inference runs on UAE sovereign infrastructure. The same frontier models (Claude, Gemini, GPT-4) your teams would use elsewhere, accessed without your data leaving the country.

  • Claude Sonnet, Gemini Pro, and GPT-4 on UAE Vertex AI
  • Business context awareness: understands your org's specific metrics and definitions
  • Every answer includes source citation and confidence indicators
  • Query history, saved answers, and team sharing

Data Lineage

Visual · Interactive · Impact analysis

A visual, interactive map of how every data point flows across your systems. Know exactly where a number came from, which transformations it passed through, who made changes, and which downstream reports or decisions depend on it.

For regulated enterprises, lineage is not optional: it is required for audit. [NAME] generates it automatically from the moment you connect a source.

  • Automatic lineage capture across all connected sources
  • Column-level lineage, not just table-level
  • Impact analysis: what breaks if this field changes?
  • Audit-ready export for regulatory review

Smart Views

Auto-generated · Role-based

AI-generated dashboards built automatically for each team: Finance, Risk, Operations, Marketing, Compliance. Always current, always relevant. No BI developer required to create them, no analyst required to maintain them.

Smart Views learn what each team actually queries and surfaces the most relevant metrics by default. The Finance View for a bank looks nothing like the Operations View, because they shouldn't.

  • Automatic dashboard generation from query patterns
  • Role-based visibility: teams see what they need to see
  • Real-time data, not scheduled refreshes
  • Export to PDF and PowerPoint for board reporting

Context Catalog

Metadata · Ownership · Definitions

A living, searchable dictionary of your organisation's data assets. Every metric, table, field, and report is documented with its definition, data owner, upstream sources, and business context. This is what makes AI answers trustworthy rather than just fast.

  • Auto-populated from your connected sources
  • Business glossary: your definitions, not generic ones
  • Ownership assignment and change notifications
  • Search by business term, technical name, or owner

Data Quality Engine

Automated · Continuous · Alerting

Automated quality checks, anomaly detection, and cleaning pipelines running continuously across all your connected data. A data quality score is visible before any data is surfaced to users, so decision-makers never act on stale or broken numbers.

  • Automated profiling: completeness, uniqueness, freshness
  • Anomaly detection with configurable sensitivity
  • Data cleaning pipelines with audit trail
  • Quality alerts routed to data owners, not just engineers

300+ Connectors

No-code setup · Real-time sync

Native integrations with every major system used in GCC enterprises: core banking platforms, Oracle, SAP, Salesforce, Snowflake, AWS, Azure, PostgreSQL, and 290+ more. Most connections are configured in under an hour with no engineering work on your side.

  • Point-and-click connector setup, no code required
  • Real-time streaming and scheduled batch options
  • Core banking integrations specific to UAE market (Temenos, Finacle, Oracle FLEXCUBE)
  • Custom connector development for proprietary systems
Integrations

300+ data connectors.
Configured in hours.

PostgreSQL
Salesforce
Oracle ERP
Snowflake
AWS S3
MySQL
SAP
BigQuery
Databricks
Spreadsheets
290+ more integrations
Deployment

Live in 5 days.
Not 5 months.

Every step runs in parallel with your existing operations. No downtime, no data migration, no months-long project scoping.

01

Connect your sources

We configure native connectors to all your data sources using our library of 300+ integrations. Your team provides read-only credentials. Nothing else. Core banking, ERP, CRM, data lakes. All in, typically within a day.

02

Profile and clean

Our quality engine profiles every connected source: completeness, freshness, uniqueness, consistency. You receive a data quality report before anything is surfaced to users. Automated cleaning pipelines run on identified issues. No surprises in production.

03

Build the context catalog

We work with your subject-matter experts to define business metrics, data ownership, and terminology in the context catalog. This is what makes AI answers specific to your organisation rather than generic. A one-day workshop with your data leads is sufficient.

04

Deploy and hand over

Smart Views are generated for each team. Users are onboarded with a two-hour session. AI Chat goes live. Your data team receives full platform training. By day 5, the organisation is querying data in plain English and getting answers in seconds.

See the platform
on your data

Request a live demo using your actual data sources. We turn it around in 48 hours.