Discera AI
Discera is a competitive intelligence and sales-call analysis platform that tracks competitors' key pages daily, flags meaningful changes, and keeps battlecards current with team-approved updates. It also analyzes Gong sales calls in plain English to surface buyer evidence like feature requests, pricing reactions, and win/loss drivers. Plans start at $29/month for call analysis and $99/month for competitor monitoring, with unlimited seats on every plan.
- Data & Analytics
- Artificial Intelligence
- Sales Technology
- Software Only
- Enterprise Software
- AI Agents
Funding
Founders
Founder details are not available yet.
Product
Problem
Go-to-market teams struggle to extract actionable intelligence from recorded sales calls because manual review is time-consuming, inconsistent, and rarely scaled across the full pipeline. Standard tools offer only keyword matching or per-seat access, leaving marketing, product, and sales leadership without a structured, repeatable read on buyer sentiment, objections, and competitive dynamics. Competitive intelligence without a dedicated CI team relies on spreadsheets, screenshots, and battlecards that are stale by the time they reach a rep.
Solution
Discera is a programmable call analysis and competitor monitoring platform that runs any question in plain English across every Gong call, automatically and on a schedule. Users define their analysis criteria—such as "competitive losses" or "pricing pressure"—and Discera's optimizer drafts the brief, filters by any HubSpot field, and evaluates each call individually before aggregating patterns across the set. The platform delivers recurring digests to Slack or email, tracking how metrics like feature demand, discount creep, and objection frequency shift over time. Additionally, Discera Intel monitors competitor websites daily, classifies meaningful changes (pricing, product launches, messaging), and maintains a dated history with before-and-after evidence that feeds into battlecards. Discera's win/loss module diagnoses each closed deal's outcome with verbatim prospect quotes, and its feature fit tool marks which buyer requests are met, planned, or not offered. Unlike surveys, Discera grounds every insight in real deal context, weighting buyer requests by deal size and outcome to separate revenue-critical gaps from background noise.
Target Audience
Primary customers are product marketing, demand generation, sales enablement, and product management teams at B2B companies using Gong and HubSpot, who need continuous, structured intelligence from sales conversations and competitor changes to inform positioning, roadmap priorities, and competitive strategy.
Features
- Plain-English query interface that eliminates prompt engineering, with an optimizer that drafts analysis briefs from simple angles like "pricing pushback" or "stalled enterprise deals"
- Competitor monitoring of up to 40 competitors across 25 key pages each, with daily capture, AI-based change classification (pricing, plan, launch, feature, messaging), and cosmetic noise filtering
- Battlecards that stay current: AI-drafted, with claims cited to evidence, checked nightly, and flagged for retirement or correction when a competitor change puts them in doubt
- Cohort filtering by deal stage, size, industry, rep, time, or any HubSpot field, supporting cohorts from 50 to 5,000+ calls
- Programmatic per-call evaluation that aggregates patterns across the set, processing 1,000 calls in 5 minutes
- Win/Loss module that diagnoses each closed deal's outcome (primary driver, root causes, sales execution, preventability) with verbatim prospect quotes as evidence, and avoids re-analyzing deals already in the corpus
- Recurring scheduled digests delivered to Slack or email on daily, weekly, or monthly cadences, with no manual work after setup; DOCX export supported
- Deal-outcome weighting that ties each buyer request or objection to revenue impact, distinguishing popular requests from deal-blockers
- Feature fit verification against the company's own product record, marking asks as "we ship this," "in beta," "planned," "not offered," or "fit unclear"