Karthik Gurram
Founder & CEO
S
SentiniumAI
SentiniumAI provides an enterprise digital twin platform that continuously merges internal data from systems like CRM and ticketing with external market signals into a live Context Graph. The platform delivers real‑time insights, scenario simulations, and AI‑ranked action recommendations, giving product, customer success, and executive teams a single source of truth for monitoring business health and making data‑backed decisions.
- Artificial Intelligence
- Data & Analytics
- Enterprise Software
Updated 6 months ago
Funding
Funding rounds are not available yet.
Founders
Prashant Jain
Co-founder & CTO
Product
Problem
Product, customer success, and leadership teams rely on multiple isolated systems—CRM, ticketing, competitor tracking, market research—each providing only a fragment of the business reality. This fragmentation prevents a holistic view of internal performance and external market dynamics, leading to delayed or uninformed decisions.
Solution
SentiniumAI offers an enterprise digital twin platform that continuously fuses internal business data with external market signals into a live Context Graph. By connecting sources such as Salesforce, Jira, competitor intel feeds, and revenue data, the platform surfaces real‑time insights, simulates strategic scenarios, and generates prioritized action recommendations. The unified intelligence layer replaces dozens of disconnected dashboards, enabling product and CX teams to see emerging opportunities, threats, and customer intent as they happen and act on them with evidence‑backed playbooks.
Target Audience
Primary customers are product managers, customer success leaders, and enterprise executives who need a single source of truth to monitor business health, anticipate market changes, and drive data‑backed actions.
Features
- Real‑time ingestion and correlation of internal systems (CRM, ticketing, project management) with external market signals (competitor moves, revenue trends, news)
- Daily “My Day” briefing that surfaces critical fires, opportunities, and contextual information for each user
- Scenario simulation engine that war‑games product or customer decisions across the entire ecosystem to forecast impact and risk
- AI‑driven recommendation engine that ranks actions by impact and confidence, providing traceable evidence chains and stakeholder playbooks
- Context Graph data model that maintains a living, queryable representation of the enterprise’s reality for ad‑hoc analysis
- Integration layer that operates as infrastructure, not a traditional analytics tool, allowing seamless data flow without custom pipelines