SkyGeni
SkyGeni: A deep revenue intelligence platform for teams analyzing pipeline history by segment. Ranked #8 of 33 in Revenue Intelligence Software by our editors (8.5/10); pricing: Pricing on request; best for teams analyzing pipeline history by segment.
At a glance
- Editor score8.5 / 10
- PricingPricing on request
- Best forTeams analyzing pipeline history by segment
- Free planNo
- AI forecastingYes
- Facts checked20 Sep 2026
Where it wins
- AI forecasting covers current and future quarters
- Reconstructs historical pipelines with an AI-powered Time Machine
- Analyzes trends across segments, geographies, products, and reps
Where it doesn't
- Pricing requires contacting sales
- No free plan is available
- Web-only access and a focused integration set limit platform fit
Our verdict on SkyGeni
SkyGeni is a revenue intelligence platform for CROs, RevOps, CFOs, and revenue teams at high-growth B2B companies. It brings together pipeline, conversion, coverage, win rates, cycle times, and related go-to-market data to identify revenue risk and project attainment for current and future quarters. Its strongest fit is for teams that need to examine pipeline history by segment while connecting forecasting with recommended corrective actions.
SkyGeni’s analytics cover a broad set of revenue-management workflows. Teams can monitor pipeline creation and progression in real time, receive deal and pipeline risk alerts, and analyze trends across segments, geographies, products, and reps. The AI-powered Time Machine supports historical pipeline reconstruction, while customizable dashboards, filters, benchmarks, and reporting help tailor analysis. Personalized alerts, recommended corrective actions, and AI-powered cross-sell and upsell recommendations extend the platform beyond reporting. Integrations include Salesforce, HubSpot, Gong, Mindtickle, and Google Sheets, giving it a multi-source data foundation for CRM, conversation intelligence, learning, and spreadsheet systems.
The published pricing model is contact sales, with paid access and no free plan. That approach suits organizations looking for a tailored revenue-intelligence purchase, but gives buyers less immediate pricing clarity than self-serve software. SkyGeni is available on the web, and its listed integrations cover several relevant systems without presenting the breadth of a larger ecosystem. Choose it when historical reconstruction, segmented trend analysis, forecasting, risk alerts, and corrective actions are central requirements. Teams seeking public plan details, a free starting point, broader platform coverage, or wider integration choice should consider alternatives.
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SkyGeni pricing
SkyGeni fact sheet
| Free plan | No |
|---|---|
| Paid from | Not verified |
| Deal risk alerts | Yes |
| Pipeline trend analysis | Yes |
| AI forecasting | Yes |
| Recommended actions | Yes |
| Forecast customization | Not verified |
| Connected data sources | Multi_source |
| Historical data import | Not verified |
| Deployment | Cloud |
| Platforms | Web |
| Compliance & security | SOC 2, GDPR |
| Support | |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 5 integrations: Salesforce, HubSpot, Gong, Mindtickle, Google Sheets |
| Pricing | Pricing on request (source) |
| Website | skygeni.com |
| Facts checked | 20 Sep 2026 |
SkyGeni integrations
SkyGeni lists 5 integrations on its own site.
- Salesforce
- HubSpot
- Gong
- Mindtickle
- Google Sheets
Alternatives to SkyGeni
- WeflowWeflow covers forecasting, deal health, pipeline analytics, and conversation capture in one platform.9.4
- Gong ForecastA mature forecasting workspace for teams that need governed submissions, rollups, and deal risk signals.9.2
- Ebsta ForecastingA relationship-aware revenue intelligence suite for CRM-centered sales forecasting.9.0
See all SkyGeni alternatives →
SkyGeni vs the competition
- SkyGeni vs Weflow
- SkyGeni vs Gong Forecast
- SkyGeni vs Ebsta Forecasting
- SkyGeni vs People.ai Forecasting
- SkyGeni vs Aviso AI
- SkyGeni vs ValueOrbit
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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