INTIGAL.AI
Democratising advanced analytics for the people closest to the problem.
We build Intigal AI so that a lender in Nairobi, a researcher in Accra and a CFO in Lagos can interrogate their own data with the same depth as a global bank — by asking a question.
Accuracy over eloquence
Every number the agent reports is computed, not narrated. Analysis is shown, methods are stated, uncertainty is quantified.
Built for our markets
Pricing, latency and data realities of every market — emerging and mature alike — shape the product, not a translated afterthought.
Sovereignty by design
Sensitive financial and research data stays isolated, with self-hosted and on-premise paths for regulated clients.
How we're building it
Phase 1 · MVP
Months 1–4
Launch on hosted inference for fast time-to-market: analytics agent, secure uploads, threaded analyses, subscriptions.
Phase 2 · Scale
Months 5–12
Introduce self-hosted open models for cost control and data sovereignty as usage crosses enterprise volume.
Phase 3 · Sovereignty
Year 2+
Fine-tuned specialist models for finance, research and SQL on dedicated infrastructure.
Talk to us about your data
Enterprise deployment, sovereignty requirements or a pilot for your team.