Pricing
Priced to the accounts you want covered
Every deployment starts with the accounts that matter and the teams that own them. We scope from there, so you are not paying for seats or accounts you are not working.
Three ways teams start
All three include unified account context, interpreted signals and recommended next moves. They differ in scope and depth of support.
Pilot
01Scoped proof of value
One team, one product and an agreed set of Named Accounts over a fixed period, with success measures set before we start.
Team
02One motion, in production
A full revenue team on one Q product, integrated with your CRM and account-planning workflows, with onboarding and enablement included.
Enterprise
03Multiple motions and regions
Several products across sales, marketing and account management, with security review, SSO, custom integrations and a named success team.
What determines your price
No public per-seat list price. These are the variables we quote against.
Accounts in scope
The number of Named Accounts you want kept current, rather than your total CRM database.
Teams and users
How many revenue teams are working those accounts, and which products each team uses.
Products
KAM Q, Sales Q, ABM Q and Events Q are licensed individually, with multi-product pricing when combined.
Integrations
Standard CRM connections are included. Bespoke systems and data sources are scoped separately.
Support model
Standard onboarding, or a named success team with quarterly reviews and enablement for larger rollouts.
FAQ
Common questions from revenue leaders
What is Q-Pilot and how does it help B2B revenue teams? +
Q-Pilot is an Applied AI platform that helps B2B revenue teams understand accounts, prioritize opportunities, engage the right stakeholders, and take the right next action. It combines external market signals with your CRM, account context, and company capabilities to answer four critical questions: Where should I focus? Why now? Who should I engage? What should I do next?
Who is Q-Pilot built for? +
Q-Pilot is built for B2B revenue teams across Sales, Strategic Accounts, Marketing, and Revenue Operations. It helps sellers research and prioritize accounts, helps leaders identify opportunities and guide execution, and gives Marketing and RevOps teams richer account context for targeting, planning, and orchestration.
What problems does Q-Pilot help revenue teams solve? +
Q-Pilot helps reduce the manual work required to understand an account and decide what to do next. Teams can use it for account prioritization, account research, opportunity discovery, stakeholder intelligence, Meeting Prep, personalized outreach, Sales Playbooks, Pitch Decks, and strategic account planning. The goal is simple: spend less time finding and interpreting information, and more time acting on it.
What data sources does Q-Pilot use to generate account intelligence? +
Q-Pilot can combine multiple external and internal sources, including company news, financial filings, earnings commentary, leadership changes, hiring activity, intent signals, technology signals, market developments, and other relevant business information. It can also incorporate your CRM data, sales collateral, case studies, product information, account plans, opportunities, and customer context. This allows Q-Pilot to interpret external signals through the lens of what your organization actually sells.
How does Q-Pilot triangulate internal context and external signals? +
Q-Pilot evaluates signals together rather than treating each one in isolation. For example, a leadership change, rising intent, new hiring activity, and a strategic initiative mentioned in an earnings call may become significantly more meaningful when combined with an existing CRM opportunity and a relevant capability your company offers. Q-Pilot connects those signals to help determine why something matters, where an opportunity may exist, and what action to take next.
How accurate and current is Q-Pilot’s intelligence? +
Q-Pilot is designed to improve confidence by using multiple signals, supporting evidence, and source context rather than relying on a single data point. Different sources refresh at different frequencies, so Q-Pilot can distinguish between fast-moving events such as leadership changes and news, and longer-term strategic context such as transformation initiatives. The objective is to provide evidence-backed intelligence that sellers can confidently use in customer conversations.
Can I verify the sources behind Q-Pilot’s recommendations? +
Yes. Where source information is available, Q-Pilot can surface the evidence behind an insight or recommendation. This gives users greater transparency into what Q-Pilot found, where the information came from, and why it influenced the recommendation. That traceability helps sellers validate important insights before using them in outreach, meetings, or account strategy.
How is Q-Pilot different from ChatGPT or other general-purpose AI tools? +
General-purpose AI tools are designed to answer a broad range of questions. Q-Pilot is purpose-built for B2B revenue workflows. It combines external account intelligence with your CRM context, company capabilities, sales content, and go-to-market priorities. So instead of simply answering, “What is happening at this company?” Q-Pilot helps answer, “What is happening that matters to us, who should we engage, and what should we do next?”
How is Q-Pilot different from traditional sales intelligence, intent, and contact data platforms? +
Traditional sales intelligence platforms typically surface individual signals such as contacts, intent, company data, or recent events. Q-Pilot connects those signals with your CRM context, account priorities, and what your organization sells to explain why something matters and what to do next. Instead of stopping at “this account is showing intent,” Q-Pilot helps teams understand what may be driving it, where an opportunity exists, who to engage, and how to act.
How do sellers use Q-Pilot in their day-to-day workflow? +
Sellers can use Q-Pilot throughout the sales cycle, from deciding which accounts to focus on to preparing for executive conversations. Typical workflows include account research, opportunity discovery, stakeholder intelligence, Meeting Prep, personalized outreach, Sales Playbooks, Pitch Decks, and account planning. Q-Pilot is designed to reduce research and preparation time while helping sellers enter every interaction with stronger context.
Does Q-Pilot integrate with our CRM and existing revenue technology stack? +
Yes. Q-Pilot is designed to work alongside the systems your revenue team already uses. CRM data such as opportunities, contacts, products, account history, and deal stages can provide additional context to external signals, helping Q-Pilot generate more relevant recommendations. Depending on the deployment, Q-Pilot can also support APIs, MCP-based connectivity, and other enterprise integration approaches.
How quickly can our team get started with Q-Pilot? +
Teams can begin with a focused set of target accounts and priority workflows rather than implementing everything at once. Q-Pilot can incorporate your existing sales content and account context first, with CRM and additional integrations introduced as needed. This makes it possible to validate value quickly, then expand across more accounts, teams, and use cases over time.
How does Q-Pilot pricing work? +
Q-Pilot pricing is based on the scope of your deployment and how your team plans to use the platform. Factors can include account coverage, users, intelligence refresh requirements, Meeting Preps, Pitch Decks, specialized workflows, integrations, and overall program scale. Customers can start with a focused use case and expand as adoption grows. Contact our team for pricing based on your accounts, teams, and revenue objectives.
How does Next Quarter protect our data, and is our information used to train public AI models? +
Q-Pilot is designed with enterprise data security and governance in mind. Customer data is handled within the agreed deployment and access model, with controls that can include authentication, permissions, data separation, encryption, and integration governance. Next Quarter can also work with Security, IT, Legal, and Procurement teams to review data handling, AI usage, retention, architecture, and applicable compliance requirements before deployment.
Can we validate Q-Pilot on our own target accounts before a broader rollout? +
Yes. Q-Pilot can be evaluated using the accounts your team already knows and cares about. A focused evaluation allows sellers to assess whether Q-Pilot uncovers relevant intelligence, identifies the right stakeholders, improves Meeting Prep and outreach, and recommends useful next actions. This gives your team a practical way to validate value before expanding Q-Pilot across additional accounts, teams, and revenue motions.
Your first account is on us
See what Q-Pilot can uncover. Your first account is on us.
We will use your real accounts to show the context you already own, the signals you are missing and the next moves your teams could be acting on this quarter.
Thank you.
We will reply within one business day to set up your working session.