Customer intelligence, powered by AI agents
Know every customer. Trust the right ones. Prioritize impact.
Personalize at scale. Prevent churn. Find more of your best—automatically.
Problem
- Customer data is fragmented across CRM, billing, product, support, and the open web.
- Teams can’t easily tell who to trust, who to prioritize, or what to do next.
- Fraud associations, leaks, and blacklist risks hide in noise.
- Retention and growth spend are guesswork without explainable signals.
Our solution
A B2B SaaS where a coordinated team of specialized AI agents ingests internal + external signals, builds an explainable profile for each customer, scores trust / value / fit, and acts by pushing next-best-actions into your stack.
The AI agent team
Trust & verification
- Data & behavior intake — parses submitted data and usage to set a baseline.
- Website & brand match — crawls the site; checks claims vs records.
- Document consistency — extracts entities; cross-verifies with sources.
- Social & reviews OSINT — collects profiles; flags risks.
- News & media reputation — links mentions, sentiment, topics.
- Darknet & leak intel — cross-matches identifiers against leak/fraud intel.
- Association graph — detects links to known fraud via shared identifiers.
- Blacklist & compliance — checks sanctions/PEP/industry lists; schedules refreshes.
Insight, growth & retention
- Priority & segmentation — ranks via Trust × Value × Fit.
- Personalization & next-best-action — suggests tone/channel/timing; drafts outreach.
- Churn sentinel — watches usage/tickets/payments; triggers save plays.
- Acquisition scout — proposes look-alike channels and campaigns.
Orchestration & governance
- Evidence & explainability — facts/actions have sources and confidence.
- Policy & privacy — consent, residency, RBAC/ABAC, audit trails.
What users get
- 360° customer profile with evidence cards and inconsistency map.
- Scores: Trust (0–100), Value, Fit → priority rank and segment label.
- Actions: next-best-actions and drafted outreach pushed to Salesforce/HubSpot/Zendesk.
- Acquisition: look-alike channel map, audience seeds, and campaign steps.
- Alerts: darknet hits, blacklist changes, association risk, churn signals.
How it works
- Resolve — link identifiers into a single entity.
- Verify — agents collect evidence, run OSINT/darknet, check blacklists.
- Score & segment — compute Trust/Value/Fit with explanations.
- Activate — push tasks, audiences, and content to your stack.
- Monitor — continuous refresh and re-scoring.
Why we win
Agentic automation
Insights become actions in your tools, not just dashboards.
Trust + growth
Fraud prevention pairs with revenue acceleration in one platform.
Darknet & associations
Uncovers hidden risk via shared identifiers.
Explainable by design
Every score and action cites sources with confidence.
Enterprise-ready
Residency controls, consent, audit, SSO/SCIM.
ROI snapshot
fraudulent signups and bad debt (90 days)
win rate on top-priority segments
logo churn on monitored cohorts
blended CAC via look-alike targeting
Measured via cohort-based A/B rollouts.
Data, integrations, and security
- Internal: Salesforce/HubSpot, Stripe/Adyen, product analytics, support, warehouses.
- External: websites/WHOIS, social, reviews, news/adverse media, registries, sanctions/blacklists, darknet/leak intel.
- Security: encryption in transit/at rest, RBAC/ABAC, consent/purpose binding, regional data boundaries, audit logs, SSO/SCIM, SOC2-aligned posture.
Business model & pricing
Growth
€1,490/mo
Up to 20k profiles, daily refresh, all agents, webhooks/audience export.
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