Cust (formerly AskToSell) vs Avanzai

Cust deploys AI Retention Agents that monitor your entire customer portfolio for churn risks and expansion signals. Each agent connects to your CRM, email, calendar, and data sources to deep-research accounts continuously. It drafts retention actions you can review and run in one click, from QBR briefs to renewal proposals. The product evolved from AskToSell, which originally focused on autonomous small-deal sales automation.

Where platforms like Gainsight and ChurnZero expect months of implementation and rigid if/else automation rules, Cust positions itself around adaptive, goal-based retention agents steered with plain language. The homepage contrasts legacy customer success platforms that need consultants and certification courses with one-click actions that go live the same day. You connect data and get a prioritized portfolio newsfeed rather than another dashboard with surface-level health scores.

Customer success managers and retention engineers who manage hundreds of accounts but can only give real attention to their top tier are the core audience. Cust targets teams trying to increase net revenue retention without hiring more CSMs per account. Plans scale from 100 protected customers on Foundation to 500 on Growth, with unlimited seats on every tier.

Avanzai builds AI workflows for financial research and analysis, letting funds chart market trends, screen instruments, and run risk models from public or private data. The open-source demo covers Russell 1000 equities, major indices, ETFs, commodities, currencies, and crypto with 20 free queries per month.

Generic chatbots can summarize headlines but struggle with production-grade factor models and cross-asset stress tests. Avanzai focuses on finance-specific workflows: macro regime analysis across thousands of assets, customizable screening criteria, and validated multi-factor risk decomposition. Enterprise teams connect Snowflake, Databricks, or custom pipelines through a Python SDK instead of pasting CSV exports into a chat window.

Quant researchers, fund analysts, and fintech data teams use Avanzai for macro analysis, instrument screening, and risk analytics. The free open-source tier handles public datasets; institutions book demos for private cloud deployments with their own reference and market data.