Head-to-head · AI SDR Software
Narwhal Labs Outbound vs SalesDeveloper AI SDR (formerly OmniSelling)
Narwhal Labs Outbound leads on 0 checks, SalesDeveloper AI SDR (formerly OmniSelling) on 0, and 6 are even. Who comes out ahead on the 6 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreNarwhal Labs Outbound · 7.9/10
- Free trialonly SalesDeveloper AI SDR (formerly OmniSelling)
- Most featuresSalesDeveloper AI SDR (formerly OmniSelling) · 5 of 5
Narwhal Labs Outbound scores higher on our rubric for ai sdr software: 7.9 against 7.8 out of 10; our editors rank them #5 and #7.
Narwhal Labs Outbound is the better fit for enterprises wanting omnichannel autonomous campaigns. SalesDeveloper AI SDR (formerly OmniSelling) is the better fit for small teams seeking email and LinkedIn SDR automation.
- Narwhal Labs Outbound fits best
Enterprises wanting omnichannel autonomous campaigns
- SalesDeveloper AI SDR (formerly OmniSelling) fits best
Small teams seeking email and LinkedIn SDR automation
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Side by side
| Feature | Narwhal Labs Outbound 7.9/10 Visit ↗ | SalesDeveloper AI SDR (formerly OmniSelling) 7.8/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 7.9 | 7.8 |
| Ranking | #5 in AI SDR Software | #7 in AI SDR Software |
| Best for | Enterprises wanting omnichannel autonomous campaigns | Small teams seeking email and LinkedIn SDR automation |
| Pricing model | Paid | Paid |
| Starting price | — | $20/user/mo |
| Free plan | — | — |
| Free trial | — | 30 days |
| Deployment | Cloud | Cloud |
| Platforms | Web | Web |
| Compliance | GDPR | SSO/SAML |
| Integrations | 16 integrations | 13 integrations |
| Built for | Small business, Mid-market, Enterprise | Solo, Small business, Mid-market, Enterprise |
| Features Narwhal Labs Outbound 4/5 · SalesDeveloper AI SDR (formerly OmniSelling) 5/5 | ||
| Autonomous prospect research | ✓ | ✓ |
| AI outbound email agent | ✓ | ✓ |
| Automated follow-up | ✓ | ✓ |
| Lead qualification | ✓ | ✓ |
| LinkedIn outreach | Not checked yet | ✓ (best) |
| Specs | ||
| Monthly contact capacity | Not checked yet | Not checked yet |
| Monthly email capacity | Not checked yet | Not checked yet |
| Our review | ||
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| Cons |
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| Our verdict | Narwhal Labs Outbound is a cloud-based AI sales-agent platform for businesses and agencies running outbound campaigns. Its agents pursue goals such as lead qualification, meeting booking, sales, nurturing and reactivation across voice,… Read the review → |
SalesDeveloper AI SDR, formerly OmniSelling, is a cloud-based sales development tool for solo founders, sales teams, and agencies. It finds prospects based on an ideal customer profile, researches company signals, then creates and runs… Read the review → |
Strengths and trade-offs
Narwhal Labs Outbound — where it wins
- Voice, SMS, email, WhatsApp and web-chat agents in one platform
- Goal-driven qualification, booking, nurturing and reactivation campaigns
- CRM, calendar, enrichment, retries, transcripts and outcome logging
Where it doesn't
- Usage rates are not stated as numeric amounts
- No free plan is available
- Cloud deployment may not fit on-premises requirements
SalesDeveloper AI SDR (formerly OmniSelling) — where it wins
- Researches prospects using company news, hiring, funding, and executive signals
- Automates personalized email and LinkedIn sequences with adaptive follow-ups
- Starter includes unlimited prospects, sequences, and replies
Where it doesn't
- Starter includes only SalesDeveloper and one other module
- Growth costs $99 monthly before extra users at $20 per user monthly
- Enterprise plan pricing is not stated
- Narwhal Labs Outbound7.9/10 · Paid
A broad, usage-priced AI SDR for autonomous voice, messaging and email outreach.
Visit Narwhal LabsFull verdict → - SalesDeveloper AI SDR (formerly OmniSelling)7.8/10 · 30-day trial
A modular AI SDR for teams that want automated research, outreach, reply handling, and scheduling.
Visit SalesDeveloperFull verdict →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update