SaaS Platform
AI-powered automation, end to end.
Intrigues's SaaS platform unifies fragmented commercial data into one intelligence layer — so your team can predict demand, personalise at scale, and close faster. Built for businesses that move at the speed of their customers.
Traction
Proof,inthenumbers.
faster insights
prediction accuracy
to ROI
Platform
Theintelligenceplatform.
Three layers — signals, prediction, action — wired into the systems your team already runs.
Consumer Signal Aggregation
Unify signals from CRM, web, transactions, and 200+ third-party sources. Every contact enriched in real time — no manual imports, no stale lists.
Predictive Demand Forecasting
ML models trained on your 24-month history surface demand shifts 30–90 days in advance. Accuracy improves automatically as more data flows in.
Commercial Workflow Automation
Trigger actions in your CRM, ERP, or marketing stack the moment a signal fires. From lead assignment to contract renewal — automated.
How it works
Fromdatatodecisioninminutes.
Connect, enrich, predict, act. Four steps from API key to your first surfaced signal.
Connect
Plug in your CRM, ERP, web analytics, and data warehouse via pre-built connectors. Most customers are live in under 2 hours.
Enrich
Every contact, account, and opportunity is enriched with firmographic, behavioural, and intent data from 200+ external sources.
Predict
ML models trained on your data surface demand signals, churn risk, and upsell opportunities — ranked by impact.
Act
Trigger automated workflows: assign leads, alert reps, launch campaigns, or update forecasts — all from a single decision layer.
The problem
Fragmented data keeps your team a step behind the buyer.
Signals live in a dozen disconnected tools — CRM, web, billing, support, spreadsheets. By the time someone stitches them together, the moment to act on a churn risk, a buying signal, or a stalled deal has already passed.
- Signals scattered across CRM, ERP, web and third-party tools that never talk to each other
- Insights that land days late — after the deal has already cooled
- Manual roll-ups and stale lists that burn analyst hours every week
- Forecasts built on gut feel, because the numbers were never trustworthy in time
The solution
One intelligence layer that turns scattered data into action.
Built for teams that move at the speed of their customers.
Intrigues unifies every commercial signal — CRM, web, transactions, and 200+ external sources — into a single decision layer. Predictive models surface demand, churn, and upsell before they show up in the numbers, and automated workflows fire the moment a signal does — so your team acts while it still matters.
Map the platform to your dataClient outcomes
Resultsthatspeakforthemselves.
Applications
Builtforeverycommercialteam.
Sales, marketing, RevOps — same platform, different lens. Each team gets the signals they actually act on.
Sales Intelligence
Prioritise deals, enrich contacts, and surface next-best actions. Your CRM data + external signals = a pipeline that manages itself.
- Lead scoring
- Contact enrichment
- Next-best-action alerts
Marketing Precision
Dynamic segments that update as behaviour changes. Target the right accounts with the right message at the right moment.
- Behavioural segments
- Intent targeting
- Campaign attribution
Revenue Operations
One dashboard for pipeline health, forecast accuracy, and revenue attribution. No more manual roll-ups across disconnected tools.
- Forecast accuracy
- Pipeline health
- Revenue attribution
Connects with your stack
See your commercial data come alive.
Schedule a 30-minute session with an Intrigues deployment specialist. We map the platform to your exact data sources, team structure, and commercial goals.
Common questions
Asked,andanswered.
Most customers complete initial setup in under 2 hours using pre-built connectors for Salesforce, HubSpot, SAP, and Snowflake. Full enrichment and model training typically takes 48–72 hours once data starts flowing.
Our ML models are trained on your historical data from day one and retrain continuously as new signals arrive. Customers typically see prediction accuracy improve by 8–15% within the first 90 days as the model adapts to your specific commercial patterns.
All data is encrypted in transit and at rest, and customer data is never used to train models for other customers. We build on established cloud security practices and will work to your organisation's specific security requirements during onboarding.