Relevance AI vs Viktor

A side-by-side look at Relevance AI and Viktor — pricing, features and where each one wins. Both are reviewed independently on Curata AI.

Relevance AIViktor
SummaryEnterprise platform for building, orchestrating and governing an 'AI workforce' of autonomous agents across sales, support, marketing and ops.AI employee that lives inside Slack and Microsoft Teams, handling outreach, pipeline, reporting and automations across 3,200+ connected tools.
PricingFreemiumFreemium
CategoryAI AgentsAI Agents
PlatformsWeb, APIWeb, Slack, Microsoft Teams
Key features
  • No-code/low-code agent builder
  • Multi-model routing (Claude, GPT, Gemini and others) by cost/performance
  • Multi-agent orchestration into coordinated workforces
  • Evaluation framework tracking live pass rates and drift
  • Real-time tracing, audit logs, human-in-the-loop approvals and cost visibility
  • 2,000+ integrations (Salesforce, HubSpot, Gmail, Slack, Databricks, Snowflake)
  • Lives in Slack & Microsoft Teams
  • 3,200+ tool integrations
  • Runs code on a cloud VM
  • Cross-task memory
  • Outreach & pipeline management
  • Automations & scheduled runs
  • Reporting & analysis
  • Internal app building
  • Shared team credits
  • Auto-topup spend caps
Pros
  • No-code/low-code builder with multi-model routing (Claude, GPT, Gemini) instead of vendor lock-in
  • Genuine free tier (200 Actions/month) — rare among enterprise-grade agent platforms
  • Real production governance: tracing, audit logs, human-in-the-loop approval and cost visibility
  • 2,000+ integrations cover most existing sales, CS and ops stacks
  • Enterprise trust signals — customers include Canva, KPMG, Databricks, Autodesk and Confluent
  • Works from inside Slack and Microsoft Teams, so there is no new dashboard to adopt — it acts where the team already communicates
  • One shared Team plan covers the whole workspace rather than per-seat licensing
  • Connects to 3,200+ tools and can run its own code, so tasks span outreach, CRM, reporting and small internal apps
  • Free $100 credit allowance with no credit card lets a team trial real work before paying
  • Credits map to actual model usage and roll over, with auto-topup spend caps to limit surprise bills
Cons
  • September 2025 pricing overhaul split billing into Actions + Vendor Credits, which reviewers say makes real cost harder to predict at scale
  • Action overages and retry billing have caught some teams off guard on their first high-volume billing cycle
  • Shared workspace model makes credential isolation difficult for agencies managing multiple client environments
  • Some users report slow or impersonal customer support response times
  • Real learning curve to build and maintain reliable multi-step agents
  • Credit-based pricing makes the monthly cost hard to predict — Viktor's own examples put 'full project' tasks at 2,000-5,000 credits each, so busy months can exceed the 40,000-credit Team allowance and need top-ups
  • No paid tier between the $100 free credits and the $100/month Team plan — light and solo users have no cheap entry point
  • The whole product is built around Slack and Microsoft Teams; teams that do not run one of those do not get the core experience
  • New in 2026 with little independent verification — the '4.9 on G2' figure and capability demos are vendor-supplied, and Viktor's reliability on real multi-step projects has not been independently tested

Which one should you choose?

Relevance AI

Best for: Sales, CS, marketing and ops teams that want multi-model, governed AI agents rather than a single-LLM chatbot.

Viktor

Best for: Slack/Teams-based sales and ops teams.

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Read the full Relevance AI review

Relevance AI markets itself as 'the home of the AI Workforce' — a platform for building autonomous AI agents that handle work across sales, customer success, marketing, customer support, operations, HR and research, rather than hiring additional headcount. A no-code/low-code builder creates specialist agents, multi-model routing sends each task to the most cost-effective LLM (Claude, GPT, Gemini and others), and orchestration coordinates multiple agents into a team for complex workflows. Production tooling includes an evaluation framework that samples live runs and tracks pass rates, real-time tracing, audit logs, human-in-the-loop approvals and cost visibility, plus a shared context layer for consistent tone across agents. It connects to 2,000+ integrations including Salesforce, HubSpot, Gmail, Slack, Databricks and Snowflake. A September 2025 pricing overhaul replaced a single credit system with two meters — Actions and Vendor Credits — across a Free plan (200 Actions/month), a paid Pro tier, a paid Team tier and a custom Enterprise tier. Notable customers include Canva, KPMG, Databricks, Autodesk, Confluent and Freshworks.

Read the full Viktor review

Viktor is an AI employee that works from inside Slack and Microsoft Teams — you @-mention it in the channels your team already uses and it takes the task end to end, from summarizing a thread and updating your CRM to shipping a small internal app. It connects to 3,200+ tools, runs code on its own cloud VM, and remembers past decisions across tasks. Rather than a separate dashboard you have to open, Viktor is designed to sit where work already happens: quick tasks (a Slack summary plus a CRM follow-up), complex workflows (push a website change ready for review), and full projects (build an internal deal-desk app wired to HubSpot and Stripe). It runs on a credit model that maps to real model usage across providers, with a free tier of $100 in credits and a shared Team plan for the whole workspace. Viktor is a new product (2026) and has not yet been broadly independently reviewed, so capabilities beyond the vendor's own demos are unverified.