Breaking
SAILEBOT 2 reports 130% jump in prospecting efficiency  ●  SERIES A $5.1M led by Lewis & Clark Ventures, Sept 2023  ●  Enterprise adoption: Staples, Wiley, Rogers Electric  ●  DIGITAL LABOR deployed across ~25-29 countries  ●  Selected for Comcast NBCUniversal LIFT Labs AI Accelerator  ●  Founded 2018 by Nick Smith, ex-CBS & iHeart  ●  SAILEBOT 2 reports 130% jump in prospecting efficiency  ●  SERIES A $5.1M led by Lewis & Clark Ventures, Sept 2023  ●  Enterprise adoption: Staples, Wiley, Rogers Electric  ●  DIGITAL LABOR deployed across ~25-29 countries  ●  Selected for Comcast NBCUniversal LIFT Labs AI Accelerator  ●  Founded 2018 by Nick Smith, ex-CBS & iHeart  ● 
The Profile · Company Dossier NEW YORK · KANSAS CITY  |  EST. 2018  |  AI · SAAS
Autonomous AI for Sales Prospecting

Sailes.

The AI that does your prospecting - hands-free. Sailes builds personality-driven "Sailebots" that research accounts, write outreach, and book meetings, so sales teams can be more human.

Category: AI · SaaS Enterprise Sales Digital Labor ~30 Employees
Sailes logo - Pure Prospecting Magic

Sailes' brand wordmark and "Pure Prospecting Magic" tagline. The infinity-loop mark nods to a prospecting cycle the company wants to run on autopilot.

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The Dispatch

The company that decided prospecting shouldn't be your job

Every B2B salesperson keeps a private list of chores they dread: research the account, find the right contact, verify the email, write the note, send the follow-up, log it all somewhere. Sailes, a New York and Kansas City company founded in 2018, looked at that list and asked a blunt question - what if none of it belonged to a human? Its answer is the Sailebot, an autonomous AI trained to run the full prospecting lifecycle on a rep's behalf, hands-free.

The distinction matters to founder and chief executive Nick Smith, who spent his early career in sales leadership at CBS Corporation and iHeart Radio before starting the company. Most tools marketed as "AI for sales" help a rep do the same manual work faster. Sailes was built on the opposite premise. "Rather than enable them to do more work, manually, it does all of the work for them - hands-free," Smith has said of the product.

To get there, Sailes did something unusual for a startup its size: it built and trained its own sales-focused AI model rather than stitching together third-party APIs. That model powers a system the company says can replace roughly a dozen separate prospecting point solutions - the tools sales teams normally buy for research, contact discovery, data validation, content generation, marketing automation, follow-up prompts, and revenue intelligence.

The result is pitched not as a copilot or an assistant but as "digital labor" - a word choice that tells you how ambitious the company intends to be. A Sailebot is designed to mirror the individual selling style and persona of the rep it works for, so its outreach reads like that person rather than generic automation. The company operates from hubs in New York and Kansas City with a distributed team of around 30.

2018
Founded
130%
Efficiency gain, Sailebot 2
$6.45M+
Total funding raised
~29
Countries deployed
Who It Serves · What It Fixes

Built for the sales teams that live and die by pipeline

Sailes sells to enterprise and mid-market sales organizations - the teams whose revenue depends on a steady flow of qualified prospects. Its named customers include office-supply giant Staples, publisher Wiley, and Rogers Electric, and the company reports Fortune 500 and Fortune 1000 adoption across real estate, heavy equipment, financial services, ESG, and manufacturing.

The problem it targets is old and expensive: sales development is slow, repetitive, and hard to scale. Reps spend a large share of their week on research and admin rather than conversations. Hiring more sales development reps is costly and inconsistent. Point tools multiply, budgets balloon, and data still goes stale.

Sailes' pitch is to collapse that stack into one autonomous system. Instead of enabling a rep to work through a longer list, the Sailebot works the list itself - identifying accounts, prioritizing them with data-driven signals, validating contacts, drafting personalized outreach, and following up. The company frames the payoff as time returned to reps for "meaningful human activities."

Because the product is positioned as measurable labor, Sailes leans on real-time return metrics rather than seat counts. Its Starboard platform surfaces "ROI Live" and "Digital Labor Live" views so buyers can watch bots work and track investment confidence - an answer to the perennial enterprise question of whether sales software actually pays for itself.

"Building something that can be more efficient, so your teams can be more human."
- Sailes company philosophy
Products & Services

One model, several surfaces

2019Core Product

Sailebot

A personality-driven autonomous AI that runs the full prospecting lifecycle - finding prospects, researching accounts, validating data, generating personalized outreach, following up, and booking meetings in each rep's own voice.

2024Next Gen

Sailebot 2

Adds deeper sales cognition, including referral identification and multi-layer AI intelligence. Sailes reports a 130% increase in prospecting efficiency over the prior generation.

2023Platform

Starboard

Described as the first CRM built to manage AI rather than people. Includes Digital Labor Live for real-time bot activity and ROI Live for return metrics.

2024Concept

Digital Labor

Sailes' framing for autonomous AI workers that absorb repetitive SDR tasks and prioritize prospects using data-driven revenue signals.

Under the Hood

AiQL

An AI query language built specifically for sales, used to surface and act on revenue signals across the prospecting workflow.

Proprietary Core

The Sailes Model

A sales-focused AI model trained in-house - the decision to own the hard core rather than assemble third-party tools is central to the company's approach.

Where It Fits

A crowded market, an unusual framing

Sailes competes in one of software's busiest neighborhoods: sales engagement and AI prospecting. Established players like Outreach, Salesloft, and Apollo.io built the modern outbound stack, and a wave of newer "AI SDR" startups - among them 11x, Artisan, and Regie.ai - are racing to automate the same work.

What separates Sailes is less a single feature than a posture. Where many tools sell software that helps a human prospect, Sailes sells labor that prospects on the human's behalf. That framing - "digital labor," not "assistant" - shapes everything from the product to the pricing conversation, which centers on measurable ROI rather than per-seat licenses.

The company also made an early, contrarian bet by training its own sales model in 2018, before general-purpose large language models made "AI for sales" a crowded pitch. Owning that core is how Sailes justifies consolidating a dozen point solutions into one system, and it is the moat the company points to when asked why a buyer should replace an existing stack.

The opportunity is large. One profile of the company pegged its addressable market at roughly $25 billion across hundreds of thousands of large firms. Whether Sailes captures a meaningful slice will depend on execution against deep-pocketed incumbents and a noisy field of AI-native challengers - but its Fortune 500 customer wins suggest enterprises are willing to test the premise.

The Money

Venture-backed, deliberately paced

Seed · Valor Ventures, KCRise Fund$1.35M
Series A · Sept 2023 · Lewis & Clark Ventures (lead)$5.1M

Series A syndicate also included Acronym Venture Capital and Tenzing Capital, with follow-on from KCRise Fund and Valor Ventures. Total raised: $6.45M+.

Timeline

From a contrarian bet to Fortune 500 desks

The Founder & The Details

Who built it, and a few things worth knowing

Nick Smith, Founder & CEO

  • Held sales leadership roles at CBS Corporation and iHeart Radio before founding Sailes in 2018.
  • Co-hosted "Common Ground," a WOR New York / iHeart radio program on business-labor dialogue.
  • Eagle Scout; two-time CBS New York "One to Watch."
  • Named among City & State magazine's "40 Future Leaders of New York Politics."
  • Conceived Sailes after recognizing AI could automate prospecting rather than merely speed it up.

Fun facts & achievements

  • Sailes brands its category as "digital labor" - not a copilot, an AI worker.
  • Tagline: "Pure Prospecting Magic."
  • Sailebots are trained to mirror each rep's persona instead of sending generic outreach.
  • Named a G2 Fastest-Growing and High Performer across sales-engagement categories.
  • Reported 130% year-over-year growth alongside the Sailebot 2 launch.
ai for salesautonomous aidigital labor sailebotb2b salesprospecting automation enterprise softwaresaasai sdr
Frequently Asked

The quick answers

What does Sailes do?

Sailes builds autonomous AI "Sailebots" that automate the entire B2B sales prospecting lifecycle - finding contacts, researching accounts, validating data, writing personalized outreach, following up, and booking meetings - so sales reps can focus on human relationships and closing.

Who founded Sailes and when?

Sailes was founded in 2018 by Nick Smith, its President, CEO, and Founder, who previously held sales leadership roles at CBS Corporation and iHeart Radio.

How much funding has Sailes raised?

Sailes has raised at least $6.45M in venture funding, including a $1.35M seed round and a $5.1M Series A led by Lewis & Clark Ventures in September 2023.

Who uses Sailes?

Enterprise and mid-market sales teams, including Fortune 500 and Fortune 1000 companies such as Staples, Wiley, and Rogers Electric, with deployments across roughly 25-29 countries.

How is Sailes different from other AI sales tools?

Rather than helping reps do manual work faster, Sailes trained its own sales AI to do the prospecting entirely hands-free, consolidating around a dozen point solutions into one autonomous, personality-driven system with real-time ROI tracking.

Go Deeper

Links, sources & watch

SOURCES: sailes.com · pulse2.com · PR Newswire · FinSMEs · Startland News · Comcast LIFT Labs · Crunchbase · Tracxn · CB Insights. Figures are drawn from public reporting and company materials; some metrics (efficiency gains, market size, country counts) are company-reported and approximate.