An AI-native analytics platform that turns fragmented operational data into real-time business intelligence — built on a deliberate OLTP / OLAP split, surfaced through natural language.
Operational systems are built for transactions, not for analytical exploration. As companies scale, fragmentation, manual exports, and static dashboards leave teams answering what happened — rarely why, and almost never what to do next.
From the C-suite to the frontline, every role gets the slice of intelligence that matters to them — without waiting for the analytics team.
Revenue, margin, cost, customer, and operations dashboards in one place. Trends and exceptions surfaced automatically.
Self-serve analytics — no SQL, no manual pulls. Role-specific dashboards for sales, ops, finance, and leadership.
"Why did margins drop this week?" Narrative summaries and anomaly explanations generated directly from live data.
The platform is built around a deliberate OLTP / OLAP separation, so transactional reliability and analytical speed can both be optimized — without one starving the other.
Near real-time freshness without forcing the transactional system to carry heavy analytical load.
Apps, APIs, files, partner systems, internal DBs.
Operational events and workflow state stored in OLTP.
Sync into analytics-oriented schemas, continuously.
High-speed aggregations and drill-downs in ClickHouse.
Dashboards, alerts, APIs, and conversational AI.
AI isn't a superficial add-on. It's used to shorten the path from data to understanding — and from understanding to action.
Business users ask questions directly, in plain English.
Automated detection across metrics, segments, and time windows.
Sudden changes, emerging trends, and hidden drivers — surfaced.
What changed, where attention is needed — summarized.
Revenue, demand, operations, and performance planning support.
Recommendations grounded in your own operational data.
A combination of architectural choices and product posture that legacy BI and most modern dashboards don't share.
Growth-stage and mid-market companies with rising reporting complexity — operating across teams, products, geographies, or channels — who need visibility without building a large internal data stack.
Land with one painful visibility problem. Prove ROI fast. Expand across teams, departments, and use cases as the platform becomes embedded in decision workflows.
A staged evolution from reliable reporting infrastructure into a broader, AI-driven operating system for business decisions.
Data connectors, KPI dashboards, and role-based reporting across teams.
Natural-language AI assistant, anomaly detection, and smart alerts.
Forecasting, recommendations, workflow triggers, and industry-specific packs.
Trisandya Technology Solutions is building an analytics platform for companies that have outgrown fragmented reporting — and need faster, more actionable intelligence.
A dedicated OLTP layer keeps transactional systems responsive under load.
A ClickHouse-powered OLAP engine delivers near real-time depth.
From raw data collection to real-time, AI-assisted decision-making.
Walkthroughs, pilots, and partnership conversations welcome.