Catalyst vs Oliv AI (2026)

Catalyst

by Totango

Oliv AI

by Oliv AI

Pros

• ✓Salesforce-native architecture operates directly on Salesforce objects with bidirectional sync of health scores, expansion signals, notes and tasks, removing the reconciliation delays that affect platforms which sync into Salesforce rather than building on it.
• ✓Autonomous playbooks execute multi-step sequences of email sends, task creation and CRM field updates triggered by health score changes and expansion signals, with no per-action CSM approval required.
• ✓Security documentation is scoped to Catalyst rather than inherited from Totango, with its own ISO 27001 certification, GDPR and sub-processor disclosure, acceptable use policy, responsible disclosure policy and SaaS agreement.

Limitations

• –Salesforce is a hard requirement. Teams running HubSpot Sales Hub, Zoho, Pipedrive or any non-Salesforce CRM cannot use Catalyst at all.
• –Pricing is entirely quote-only with no published rate on any tier, and Catalyst, Totango and Unison AI are separately subscribed products, so platform cost can rise quickly across modules.
• –The Catalyst SOC 2 page names no report type, no report period and no auditor, stating only that Catalyst is a SOC 2 compliant organization, so this index cannot record SOC 2 Type II. G2 reviewers report an average time to implement of two months, and no free trial or self-serve signup exists.

Pros

• ✓Role-based pricing is published in full on one page: Converse at $19/mo, Sell at $49/mo and Grow at $79/mo, each per user, with each plan including the one below it. The vendor states there is no platform fee and that view-only seats are always free.
• ✓Super Agents (Olivia as Chief of AI Staff, Oliver as Chief GTM Engineer) plus a full execution-layer agent suite operate without per-action approval. Agents handle weekly summaries, churn flagging, expansion detection, CRM hygiene, deal driving, prospecting, and customer-facing onboarding in parallel.
• ✓Integration depth across eight published categories with bidirectional CRM sync means Oliv captures context from meetings, emails, calls, and CRM records automatically. Eight CRM platforms are supported natively, giving teams flexibility to connect without custom middleware.
• ✓Amplify seats carry no seat fee, so executives, product, engineering and operations teams can query customer context, review conversations and accounts, and build custom agents in plain language, paying only for the credits their agents use.
• ✓Conversation capture covers online meetings with or without a bot, in-person meetings through a mobile app, email and Slack, so account context reaches the CRM from more than video calls.

Limitations

• –The independent review corpus is thin, and the vendor's strongest outcome figures are its own case studies rather than third-party evidence. Product Hunt traction and four published customer stories provide supplementary but not independent validation.
• –The platform spans sales and customer success rather than being purpose-built for CS. Teams evaluating pure CS platforms like Gainsight Customer Success, ChurnZero, or Vitally may find the sales-side agents unnecessary overhead.
• –Missing native integrations with major support platforms (Intercom, Zendesk, Freshdesk) limits health scoring depth for teams that run separate support ticket systems alongside their CRM.
• –The Trust Center lists SOC 2 without naming a report type, reporting period or auditor, and publishes no report to request, so the depth of that attestation cannot be confirmed. Agent actions are billed separately as credits at $0.01 each, and the vendor estimates credit spend only during a proof of concept, so total cost cannot be worked out from the pricing page alone.
• –Oliv advertises multilingual meeting support but names no specific languages on any public page, so language coverage cannot be confirmed beyond English.
• –The terms of service license customer data for machine learning and model tuning used to improve Oliv's software, and grant perpetual rights to aggregated, de-identified data derived from it, with no opt-out published.