Key takeaways
- AI-native CRM platform built entirely around autonomous agent technology — agents find, engage, and manage prospects 24/7, with the CRM as the system of record for both human reps and AI agents
- Funded with a reported $10M Series A and total funding above $15M; rated 4.6/5 on G2 across 441 reviews as of June 2026
- Credit-based pricing with a free tier ($0, 100 credits/mo) up to Business at $150/mo — but credits expire monthly, and reviewers flag missing features, bugs, and no email warm-up infrastructure
FAQ
What is SuperAGI?
An AI-native CRM platform where autonomous sales agents work 24/7 to find and engage prospects. Combines prospecting, outreach, and pipeline management with contextual intelligence in one agentic platform — 25+ AI-native apps and agents in a single system.
How much does SuperAGI cost?
Credit-based tiers as of June 2026 — Free ($0, 100 credits/mo), Starter ($45/mo, or $30/user/mo annual, 500 credits), Business ($150/mo, or $100/user/mo annual, 2,500 credits), and custom Enterprise. Credits expire monthly with no rollover.
Overview
SuperAGI is an AI-native CRM platform built from the ground up around autonomous agent technology. Unlike traditional CRMs that add AI features as enhancements, SuperAGI treats AI agents as the fundamental unit of operation — agents that find, engage, and manage prospects 24/7. The company is distinct from (but shares heritage with) the well-known open-source SuperAGI agent framework; this profile covers the commercial sales/CRM product.
The platform combines autonomous agents, contextual intelligence, and unified GTM operations in one system — the company positions it as "25+ AI-native apps and agents in one single platform." Rather than acting as a passive database, the CRM actively executes: agents prospect, engage leads, follow up across email, phone, SMS, and web push, update records, and surface insights in real time.
As of June 2026 the company remains active and independent — no acquisition, shutdown, or pivot signals found. Funding trackers report a $10M Series A (March 2024) with total funding above $15M; investors include Kae Capital.
Key Capabilities
- SuperSales — the flagship AI SDR plus AI-native CRM: agents plan and prioritize sales activity, research and engage prospects, monitor deal health, and update the CRM; reps can add leads directly from LinkedIn and email or call them instantly
- System of record for humans and agents — the CRM tracks actions by both sales reps and AI agents
- Omnichannel automation — email, phone/dialer, SMS, and web push sequences in one platform, plus voice agents
- Lead database — a claimed 450M+ lead database with built-in enrichment
Pricing
Credit-based pricing scaling with activity rather than seats, as of June 2026 (per third-party review analysis):
| Plan | Monthly | Annual (per user/mo) | Credits |
|---|---|---|---|
| Free | $0 | $0 | 100/mo |
| Starter | $45 | $30 | 500/mo |
| Business | $150 | $100 | 2,500/mo |
| Enterprise | Custom | Custom | Custom |
Credit burn varies by action: email enrichment costs 1 credit, phone enrichment 10 credits, and voice agents 15 credits per minute. Credits expire monthly with no rollover.
Traction
SuperAGI holds a 4.6/5 rating on G2 across 441 reviews as of June 2026. Reviewers most frequently praise ease of use (273 mentions), the intuitive interface (181), customer support (179), and automation capabilities (105). Independent analysis pegs it as best suited to small ecommerce and D2C teams wanting CRM, marketing, and basic outbound bundled together.
Cautions
- Feature gaps at volume — missing features (72 mentions) plus limited features (39) lead the complaint list on G2; bugs and technical glitches total roughly 89 mentions
- No email warm-up or deliverability infrastructure — teams running cold outreach through the AI SDR get no warm-up engine, domain rotation, or IP control
- Credits expire monthly with no rollover, and voice agents burn 15 credits/minute, so effective cost is harder to predict than seat pricing
- Unverified data quality — the 450M+ lead database ships with no published accuracy benchmarks
- Sales-promise gap — some G2 reviewers report the delivered experience fell short of what was promised during the sales process, particularly around automated workflow setup
What Users Say
Review volume is substantial — 441 G2 reviews at 4.6/5 as of June 2026 — though little organic Reddit or Hacker News discussion of the CRM product was found (most community chatter still concerns the open-source framework).
"Customer Service is fantastic. Product is robust. Updates are frequent!" — 5-star G2 reviewer
On the critical side, third-party analysis of the review corpus concludes that teams with deal sizes above $5K and outbound as a real revenue channel will outgrow the bundled approach and need dedicated tools per layer, while smaller teams get strong value from the consolidation.
Competitive Position
Strengths: Fully agentic architecture (not bolted-on AI). Comprehensive GTM coverage — CRM, sequences, dialer, meetings, and support tooling in one bundle. 24/7 autonomous operation. Free tier and usage-based pricing lower the entry barrier.
Weaknesses: Less established brand than Salesforce/HubSpot. Closed-source. Missing deliverability infrastructure for serious cold outbound. Breadth-over-depth tradeoff versus dedicated point solutions.
Bottom Line
Recommended for: Small and mid-sized teams — especially ecommerce/D2C — that want CRM, marketing automation, and basic outbound consolidated into one AI-native platform at low cost, and outbound-focused teams comfortable supplying their own deliverability stack.
Not recommended for: Enterprises standardized on Salesforce/HubSpot ecosystems, or outbound-heavy teams with larger deal sizes that need best-of-breed depth (warm-up, domain rotation, verified data) in each layer.
Outlook: Stable and improving as of June 2026 — funded ($10M Series A, $15M+ total reported), actively shipping, and carrying a strong 4.6/5 G2 rating at meaningful review volume. The agentic-CRM thesis is increasingly contested ground (Salesforce Agentforce, HubSpot Breeze, and a wave of AI SDR startups), so SuperAGI's all-in-one positioning will be tested by both incumbents adding agents and point solutions adding breadth.
Research by Ry Walker Research