Sector

Sales Software

For companies trying to run sales as a repeatable process rather than guesswork: CRM, quoting, contracts, dialling, coaching and pipeline tools compared side by side.

55 businesses

TRACKx

Chicago, Illinois, United States

Komrz is transforming the partnerships between buyers and suppliers across the full contract life cycle - from authoring to…

4.3 2 reviews

Aviso

Redwood City, California, United States

Aviso delivers agentic AI that turns insights into autonomous actions, giving GTM teams precision, speed, and control to drive…

4.2 383 reviews

Q for Sales

Palo Alto, California, United States

Uniphore is the business AI company. Our sovereign, composable, and secure AI platform connects enterprise data, fine-tunes AI…

4.2

VYPER

San Francisco, California, United States

Zendesk powers exceptional service for every person on the planet. As a leader in AI-powered service, we offer the zendesk…

4.2 467 reviews

Zendesk Sell

San Francisco, California, United States

Zendesk powers exceptional service for every person on the planet. As a leader in AI-powered service, we offer the zendesk…

4.2 467 reviews

Cliently

San Antonio, Texas, United States

Cliently is the first truly AI-based sales engagement application. Create custom recipes (views) to understand the entire sales…

4.1 15 reviews

Acuity3D

Cambridge, Massachusetts, United States

Our mission is to help businesses like yours to realize the upside®, by empowering customer-facing teams with sales and service…

4.0 1 reviews

Certinal eSign

Wilmington, Delaware, United States

Certinal is redefining digital transactions for enterprises worldwide. With 200+ clients across 5+ continents, it is the #1…

4.0 1 reviews

DocJuris

Houston, Texas, United States

Review and markup contracts in minutes. Docjuris’ AI contract review software cuts cycle times, drives consistency, and delivers…

4.0 1 reviews

KaizenPrice

Atlanta, Georgia, United States

Kaizen is an insights, data, and consulting products and services company that provides clients unmatched speed to achieving…

2.8

AdeptID

Boston, Massachusetts, United States

Adeptid uses AI to get millions of people into better jobs, faster. We do this in two ways: 1. We license best-in-class talent…

Unrated

Advanced Pricing Logic

Seal Beach, California, United States

Apl is a SaaS provider of performance-based pricing, promotion, kits, and competitive insight for retailers and distributors. Apl…

Unrated

Advata

Bellevue, Washington, United States

Advata provides advanced data analytics software to improve decision-making and optimize administrative efficiencies in…

Unrated

Base+

Atlanta, Georgia, United States

Revenue analytics transforms complex data into a competitive advantage. As a leader in AI-powered revenue and margin…

Unrated

BrainX

Thousand Oaks, California, United States

Joyai combines AI and intelligent automation to prospecting and selling. It’s like pairing your prospectors and salespeople with…

Unrated

Globality

Palo Alto, California, United States

In this new era of the autonomous enterprise, globality empowers leading global companies to achieve substantial savings and…

Unrated

GrowByData Market Intelligence

Lexington, Massachusetts, United States

Growbydata offers market intelligence to brands & agencies to gain visibility where it matters: holistically across Google…

Unrated

include.ai

Stanford, California, United States

(formerly serif) Include.AI is building powerful AI agents for customer service. Automate almost any repetitive, mundane, and…

Unrated

LawGeex

New York, New York, United States

The lawgeex AI-powered platform automates and accelerates contracting, enabling legal teams to offload routine work and refocus…

Unrated

Nowigence

Ballston Lake, New York, United States

We develop AI SaaS downstream applications that do not require software engineers or data scientists to implement. We automate…

Unrated
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These are the vendors that build the tools sales teams use to actually run a deal: logging calls and emails against an account, moving an opportunity through defined stages, generating a quote, turning that quote into a contract, getting it signed, and reporting on what's in the pipeline versus what's likely to close. Bring one of these in and the concrete change is that a rep's next action, and a manager's view of the business, comes from a system rather than a spreadsheet, a shared inbox, or memory. Some of these tools also sit on top of that data — dialling numbers automatically, listening to calls, arming reps with competitor talk tracks — so the work of prospecting and objection-handling gets faster or more consistent rather than left to individual skill.

People go looking for this when the selling process has outgrown ad hoc tracking: deals are being lost or forgotten because nobody can see where they stand, quotes take days to turn around because pricing lives in someone's head, contracts sit unsigned in email threads, reps spend more time on data entry and paperwork than talking to prospects, and forecasts to the board are really just guesses because the underlying data in the CRM is stale or incomplete. Often there's already a CRM in place and it isn't the problem being solved so much as the thing everything else needs to connect to.

The providers split roughly into full platforms that try to own the whole process — CRM, quoting, contracts and e-signature bundled together — and specialists that do one part of it well and expect to plug into whatever CRM you already run. Some compete on breadth (one system of record for the whole revenue team), others on depth in a single job, like contract redlining or auto-dialling logic, or on the AI layer they add for call analysis and coaching. When comparing them, look at how deeply they integrate with your existing stack rather than requiring you to replace it, whether pricing is per seat or per document/transaction, how much setup and admin time they demand before a rep sees any benefit, and whether the vendor is built for self-serve SMB use or for the procurement and customisation cycle of a larger enterprise deal — the wrong fit on that last point shows up quickly as shelfware.

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