Which deals are most likely to close?
Score opportunities and surface the drivers behind the forecast.
Turn your company data into a prediction engine capable of predicting sales, churn, procurement and more.

Built with teams operating on high stakes decisions
Unlock unique business insights and competitive advantages with our advanced predictive capabilities
Score opportunities and surface the drivers behind the forecast.
Flag downside scenarios early and quantify exposure by segment.
Identify at-risk accounts before renewal windows close.
Spot upsell timing from product usage and relationship graph shifts.
Predict demand changes using internal performance + external signals.
Find where deals stall and what leading indicators predict slippage.
Securely integrate your CRM, spreadsheets, product usage, notes, and external sources. We handle ingestion with tenant isolation and governance built in.

We normalize and deduplicate entities, create a temporal context graph, train on your historical outcomes, and wire up the right research agents for your use cases.

We integrate with where you work—email, LinkedIn, Slack, CRM, and more—so insights and recommended actions show up in your daily tools.

Ask business questions or simply see ranked accounts, explanations, and next-best actions directly in your CRM, email, Slack, ERP, and dashboards.

Intelital is not just a System of Action that automates tasks. It determines what deserves attention before action is taken
Surface a prioritized list of accounts, initiatives, or risks based on predicted outcomes.
See the signals, relationships, and events driving each prediction with full traceability.
Attach outcome-specific scores and confidence levels grounded in historical results.
Suggest the best path to act: who to involve, what changed, and where intervention matters.
Dashboards describe the past. LLMs generate text. Intent tools chase noise. None of them learn your outcomes.
They summarize historical metrics. They do not model relationships, learn from outcomes, or rank what deserves attention next.
They flag activity, not probability. They use generic heuristics instead of models trained on your actual wins and losses.
They are excellent at producing text. They are not trained to predict structured business outcomes or model relational dependencies across entities.
LLMs complete tokens. They do not optimize for real-world outcomes.
We build a continuously updated graph of your entities, relationships, events, and decision history.
We train graph-native models on real outcomes like won deals, churn, expansion, and operational failure.
We score entities by predicted probability, with confidence scores and full traceability to drivers.
LLMs generate language. Dashboards summarize history. We model causality and predict what matters next.
Intelital helps you translate signals into ranked decisions across accounts and initiatives — with explainable drivers for every recommendation.
Prioritize outreach and focus on deals with the highest probability of closing.
Predict demand, attribute what moves outcomes, and allocate budget with confidence.
Detect churn risk early and trigger retention workflows with clear rationale.
Forecast workload and risk using connected operational signals, not stale reports.
Prioritize outreach and focus on deals with the highest probability of closing.
Predict demand, attribute what moves outcomes, and allocate budget with confidence.
Detect churn risk early and trigger retention workflows with clear rationale.
Forecast workload and risk using connected operational signals, not stale reports.
Intelital scales with the complexity of the decisions you model.
ntelital provides the insights, context and trends to help you decide what to do next
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