Q3 was our biggest product quarter to date. Since deploying our Seed Round funding from Vireo Ventures in March, our engineering team has been executing at a pace we could not sustain pre-funding. Here is everything that shipped in Q3 2025.
New: Two Additional Intent Data Sources
We added two new intent data source integrations in Q3: Bombora topic surge data (now available on all Growth and Enterprise plans) and proprietary job posting analysis that extracts buying signals from revenue team hiring patterns. The job posting integration is particularly powerful for identifying companies in active vendor evaluation mode — a company hiring a "VP Revenue Operations" and "Salesforce Admin" simultaneously is almost certainly building out a new tech stack.
With these additions, TavMind now aggregates from 12 distinct intent signal sources. For Enterprise customers, custom data source ingestion (via REST API or SFTP) is now generally available.
New: CRM Enrichment Layer
This is the one our customers have been asking for most consistently. TavMind now enriches your existing CRM records automatically, appending firmographic data (employee count, revenue band, industry classification, tech stack) and updating staleness flags on records that have not been touched in 90+ days. For the average enterprise customer with a 50,000+ account CRM, this alone is saving 4–6 hours of manual data quality work per week per RevOps headcount.
The enrichment layer runs on a weekly cadence by default, with daily refresh available on Enterprise plans. Conflict resolution rules are fully configurable — you can specify which fields TavMind should overwrite vs. flag for manual review.
New: Pipeline Forecasting Module
We soft-launched our pipeline forecasting module to 15 beta customers in Q2. It is now generally available. The module ingests deal activity, stage progression patterns, and intent signals from open opportunities to generate a probability-weighted forecast that typically improves on manager-adjusted forecast accuracy by 15–20 percentage points.
The forecast view includes a "at-risk" deal identification layer that surfaces deals likely to slip before your reps know they are in trouble — based on declining engagement signals, competitive activity increases around the account, and stage duration anomalies relative to your historical close patterns.
New: RevOps Analytics View
The new RevOps Analytics view gives Revenue Operations leaders a consolidated view of pipeline health, signal coverage, and scoring model performance — in a single dashboard that requires zero manual data assembly. It includes: coverage ratio by stage and segment, signal freshness heatmap across your tracked account universe, scoring model validation metrics (score vs. outcome correlation), and a new "signal gap" analysis that identifies accounts in your CRM with zero intent signal coverage.
What Is Coming in Q4
Q4 2025 roadmap highlights include: a mobile companion app for iOS and Android (AE-focused, surfacing daily prioritized account list), Gong and Chorus conversation intelligence integration (correlating deal call activity with TavMind signals), and the next generation of our scoring model incorporating NLP-extracted signals from public company communications. We will share a detailed Q4 preview in September.