Valence

Predictable revenue velocity for enterprise sales leaders

Enterprise sales leaders constantly miss quarterly revenue commitments because pipeline visibility relies on reps' optimistic manual CRM updates.

Valence automatically ingests multi-channel buyer telemetry, email momentum, call sentiment, and stage duration to calculate objective win probabilities for every active deal. The platform highlights hidden deal slippage, flags stalled buyer engagement, and triggers automated remediation playbooks directly inside Salesforce and HubSpot. By eliminating rep guesswork and inaccurate commit forecasts, revenue organizations increase forecasting precision to 95% and shorten average sales cycles by 22%.

Valence is building the autonomous telemetry infrastructure that will dictate how modern enterprise revenue teams forecast and scale revenue.

COMMENTS — Community Discussion

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Problem

When I lead a B2B sales organization during quarterly forecast reviews, I want to accurately predict closed-won revenue, but sales reps manually input inflated deal stages and unreliable close dates into the CRM.
Why Now: Economic headwinds have made B2B sales cycles 35% longer while executive boards demand zero-margin forecast errors on quarterly commit metrics.
When I review mid-stage pipeline velocity with RevOps, I want to identify stalled deals before they slip, but manual CRM audit reports are always 3 weeks behind real buyer engagement.
When I allocate executive resources to high-value enterprise deals, I want to confirm true buyer intent, but reps obscure single-threaded buyer risks until the final week of the quarter.
Existing Alternatives: Static CRM pipeline dashboards, weekly manual forecast spreadsheets, and subjective 1-on-1 manager pipeline scrub calls.

Solution

High-Level Concept: Valence is Palantir for B2B sales pipelines, analyzing real-time deal signals to guarantee predictable revenue output.

Autonomous buyer velocity scoring that continuously calculates deal health by tracking email response latency, multi-threading depth, and stakeholder sentiment.
Automated pipeline remediation playbooks that alert account executives to decaying buyer momentum and automatically draft targeted re-engagement sequences.
Executive commit forecast engine that combines historical rep close rates with real-time signal velocity to project quarterly revenue with 95% statistical accuracy.

Distribution

Early Adopters: Series B to Series D B2B software RevOps Directors and VPs of Sales with 20+ account executives struggling with pipeline visibility.
Guerrilla outreach targeting revenue leaders on LinkedIn who post about missed quarterly targets or sales operations hiring challenges.
Free pipeline diagnostic audit tool distributed in RevOps Slack communities that benchmarks deal velocity against industry averages.

Pricing

Value Ladder: Free Tier for 5 reps with basic deal velocity scoring, Professional tier at $120 per rep monthly for full CRM integration and automated playbooks, and Enterprise tier at $50k annual contract with custom forecasting models.
One Metric That Matters [OMTM]: Percentage reduction in quarterly forecast variance across active paid accounts.
Market Sizing: SAM of 15k mid-market B2B software companies with 20+ reps representing $360M TAM, targeting SOM of 200 accounts in Year 1 yielding $1.2M Annual Recurring Revenue.

Scale Costs

Enterprise CRM API rate limits and high-frequency webhook data processing pipelines across Salesforce, HubSpot, and Microsoft Dynamics.
SOC2 Type II compliance audits and enterprise security certifications required to process confidential commercial email threads and customer deal terms.

Expert Opinions

Avg: 9.5

world-famous Chief Revenue Officer and RevOps strategist with $200M+ scaled ARR
9.6
leading SaaS venture capitalist and B2B growth architect
9.4
former VP of Global Sales Engineering at enterprise CRM scale-up
9.5

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