Demand generation, on one platform — instead of thirteen.
Discover right-fit accounts. Learn what makes them buy. Engage them with the right message at the right time. Three phases on one data model — replacing the typical five-to-ten-tool ABM stack with a single skills-first platform.
13 skills · 8 categories · 19 connectors · 3 runner modes
The lifecycle
The architecture
Three phases. One data model. Every operation a skill.
Each phase is a coherent surface in the product, not a separate tool. Data flows forward — from Discover into Learn into Engage — without exports, ETL, or CSV gymnastics.
Find right-fit accounts using ICP scoring, intent signals, technographic match, and firmographic filters.
- · Account scoring (ICP fit + intent + engagement)
- · Intent signal aggregation (Bombora, 6Sense, custom signals)
- · Look-alike account discovery
Enrich with multi-source provider waterfall, generate research dossiers, map buying committees.
- · Multi-source enrichment waterfall (Apollo + ZoomInfo + Clearbit)
- · Research dossier generation per account
- · Buying-committee mapping
Multi-channel personalization, sequence orchestration, response handling, attribution.
- · Personalized sequence generation
- · Multi-channel orchestration (email, LinkedIn, ads via Influ2)
- · Reply detection + classification
What's in each phase
13 skills, mapped across the lifecycle.
Phase 01 · Discover
Find right-fit accounts using ICP scoring, intent signals, technographic match, and firmographic filters.
- Account scoring (ICP fit + intent + engagement)
- Intent signal aggregation (Bombora, 6Sense, custom signals)
- Look-alike account discovery
- Technographic + firmographic filtering
- Disqualification rules
- Continuous re-scoring on signal changes
Skill chain
Phase 02 · Learn
Enrich with multi-source provider waterfall, generate research dossiers, map buying committees.
- Multi-source enrichment waterfall (Apollo + ZoomInfo + Clearbit)
- Research dossier generation per account
- Buying-committee mapping
- Trigger event detection (funding, hiring, news)
- Persona-level firmographic enrichment
- Champion + economic-buyer identification
Skill chain
Phase 03 · Engage
Multi-channel personalization, sequence orchestration, response handling, attribution.
- Personalized sequence generation
- Multi-channel orchestration (email, LinkedIn, ads via Influ2)
- Reply detection + classification
- Meeting booking + handoff to sales
- Account-level attribution
- Engagement-velocity scoring
Skill chain
The execution layer
Three runner modes. Same skills.
The same skill — research.account, for instance — runs in three different shapes depending on the job. That flexibility is why one platform replaces a stack.
Bulk-process accounts. Score, enrich, classify in batch. Handles tens of thousands of records per run.
Single account, deep work. Research dossier generation, buying-committee mapping, custom analysis with multi-step reasoning.
Output of step N feeds step N+1. Chain enrichment → scoring → dossier → personalized sequence end-to-end.
When
Live in private beta. GA in six months.
Private beta is open today for design partners. CRM bidirectional sync and native LinkedIn engagement are the next two milestones.
- Private beta open
- 13 skills · 8 categories · 3 runner modes
- Discover/Learn/Engage live
- Apollo, ZoomInfo, Bombora, 6Sense, Influ2 connected
- Bidirectional CRM sync (HubSpot, Salesforce)
- Native LinkedIn engagement
- Slack-based account alerts
- Custom signal connectors
- General Availability
- Skill marketplace
- Multi-language sequence support
Integrations
The data sources demgen actually needs.
Live connectors and what's coming. Adding a provider is entering credentials, not a migration project — skills adapt to whichever providers you have.
Intent & enrichment
CRM
Communication
Infrastructure
Why us
Five things you won't find next door.
One platform, three phases.
Discover, Learn, Engage on one data model. Replaces five-to-ten-tool stacks with one system and clean attribution.
Skills-first architecture.
13 atomic skills you can configure, override, chain, and remix — not 13 frozen workflows.
Multi-source provider waterfall.
Apollo + ZoomInfo + Clearbit hit in series with smart fallback. Enrichment quality stops being a single-vendor bet.
Agentic on a single account.
For high-value accounts, the system can run a 30-step research loop — competitive landscape, hiring signals, exec movements, news — and produce a dossier a human SDR would take 4 hours to write.
Built-in attribution.
Account-level attribution across all channels and skills, native to the data model. No CDP middleware. No marketing-mix shenanigans.
Who built it
Built by jolved.
The demgen platform shares the same Skills Engine, multi-tenant isolation, and AI execution layer as GTM Manager. Built collaboratively with Claude Code as a core part of the development workflow. One architecture, three domains.
FAQ
What you'd ask in the demo.
Replace the stack. Keep the data.
Beta access is open for ABM and PLG teams running 50+ active accounts. We onboard manually. We listen. The platform improves weekly.