RAIL

For scaling B2B revenue teams

Your GTM stack records revenue signals. RAIL acts on them.

RAIL watches every customer signal, understands what should happen next, and executes automatically—bringing your team in only when human judgment is required.

More pipeline, faster cycles, higher retention — from the stack and team you already have.

Live execution

Watching

  1. Pricing page visited

    WEB · 09:41:22

    Acme Corp identified

  2. Target account matched

    IDENTITY

    Tier 1 · account list: Enterprise North America

  3. Open opportunity found

    CONTEXT

    $84,000 ARR · Stage: Evaluation

  4. No AE activity in 17 days

    CONTEXT

    Last touch: security review follow-up

  5. 3 buying committee members active this week

    CONTEXT

    Economic buyer viewed docs twice

  6. Intent increased 73%

    INTELLIGENCE

    RAIL recommends re-engagement

  7. Account research completed

    AUTO-EXECUTED

    Brief prepared: what changed, who's active, why now

  8. Personalized message drafted

    AUTO-EXECUTED

    References the security review and new committee activity

  9. Waiting for AE approval

    HUMAN IN THE LOOP

    One click to send, edit, or dismiss

Built for scaling B2B revenue teams and AI-native startups

  1. 01Signals
  2. 02Identity
  3. 03Context
  4. 04Intelligence
  5. 05Action
  6. 06Revenue

The problem

Your GTM stack sees everything. It acts on almost nothing.

Every one of these signals happened somewhere in a stack like yours this week. Each one terminated inside a single tool — recorded, dashboarded, and never acted on.

Target account visits pricing 3×

Dies in: Web analytics

No action

Dormant enterprise trial reactivates

Dies in: Product analytics

No action

Champion changes companies

Dies in: Enrichment tool

No action

Opportunity idle for 21 days

Dies in: CRM

No action

Usage drops 41% before renewal

Dies in: CS platform

No action

Buying committee activity spikes

Dies in: Sales engagement

No action

With RAIL

Modern revenue teams don’t have a data problem. They have an execution problem.

RAIL connects those same signals across every system, resolves them to accounts, decides what should happen, and makes sure someone — or something — acts. Nothing falls between the tools, because RAIL sits above them.

How it works

From signal to action. Automatically.

RAIL is not another dashboard on top of your stack. It's an execution layer that runs across it — one pipeline, from raw signal to closed revenue.

Observe everything your stack already sees

RAIL watches activity across the systems you already run — nothing to rip out, nothing to replace.

  • Website & content
  • Advertising
  • CRM
  • Email & sequences
  • Product usage
  • Sales engagement
  • Customer success
  • Support & billing
  • Data warehouse
  • Enrichment

Inside RAIL

The execution layer is visible, inspectable, and accountable.

RAIL does not hide automation behind a black box. Teams can see the full system, inspect the evidence behind a decision, and understand exactly what the agents did.

The whole system

One map. Every revenue motion.

See the path from signal capture through identity, sales and marketing workflows, attribution, and the next-dollar decision. Every node opens a real operating surface.

RAIL workflow overview connecting foundation, marketing, sales, attribution, performance, and agency operations

Swipe to explore the full product view.

The in-product system map connects every operating surface and configuration path.

Attribution intelligence

See what creates pipeline—not just activity.

Compare attribution lenses, channel lag, funnel leakage, and marginal returns in one decision surface. RAIL makes model disagreement visible before budget moves.

RAIL Marketing Command showing funnel performance, channel lag, and pipeline credit across attribution models

Swipe to explore the full product view.

Representative data shown in the Marketing Command attribution lab.

Agentic execution

Agents work the queue. People make the calls that matter.

The morning brief explains what changed, cites the underlying evidence, and shows what agents completed overnight. High-stakes actions arrive prepared for human approval.

RAIL Growth Command morning brief with AI recommendations, trust score, and an agent shift report

Swipe to explore the full product view.

Representative data shown in Growth Command with human-in-the-loop actions.

Outcomes

One intelligence layer across the entire revenue lifecycle.

RAIL isn't organized around features. It's organized around the five moments where revenue is won or lost.

Acquire

Identify valuable accounts and buying signals.

  • Target account visits pricing three times — the owner knows within minutes
  • Anonymous research activity connects to a known account the moment they sign up
  • Emerging demand surfaces from content and campaign engagement, ranked by fit
  • High-intent accounts are prioritized before your competitors notice them

Convert

Turn interest and product behavior into pipeline.

  • Fourteen users on one enterprise domain become a single PQL, routed to the right AE
  • Product usage joins account context, so qualification isn't a guess
  • Nurture or outbound triggers at the moment intent changes — not next quarter
  • PLG and sales-led motions coordinate instead of colliding

Close

Prevent valuable opportunities from quietly dying.

  • A $126K opportunity stalls for 19 days — RAIL researches what changed and drafts the re-engagement
  • Missing stakeholders in the buying committee are identified before the deal slips
  • Engagement drops mid-cycle and the AE gets a brief, not a surprise
  • CRM stays accurate without anyone doing data entry on a Friday night

Retain

Identify risk before renewal problems become obvious.

  • Weekly active users drop 41% — a risk workflow starts months before the renewal call
  • A champion goes quiet and CS knows the same week, not at the QBR
  • Adoption problems and unresolved issues roll up into one account-health picture
  • Renewal workflows begin on signal, not on a calendar reminder

Expand

Identify accounts ready for additional revenue.

  • Usage grows 237% in 30 days — an expansion opportunity is created for review
  • A new team starts using the product and Sales hears about it that day
  • Accounts approaching plan limits surface before they hit the wall
  • New stakeholders and cross-sell signals are detected, scored, and routed

For AI-native startups

Scale revenue before you scale headcount.

Your first few sellers shouldn't need an entire operations organization behind them. RAIL gives growing companies the intelligence, process, monitoring, and execution layer that used to require a department.

The 2015 playbook — headcount compounds

  1. Founder

  2. AE

  3. AE + SDR

  4. AEs + SDRs + Sales Ops

  5. + RevOps + Marketing Ops + CS Ops + Analysts + Managers

Every stage of growth adds another layer of coordination — and every layer adds drag.

The AI-native revenue organization

Founder
Sellers
RAIL

One AE supported by RAIL operates with the instrumentation, process consistency, and leverage of several traditional sellers. Your next GTM hire shouldn’t always be another person.

Keep humans where humans create leverage. Automate everything else.

Built for AI-native startups

Always on

This is what RAIL is doing while your team is in a meeting.

Opportunities and risks don't wait for the Monday pipeline review. RAIL detects them as they happen and either handles them or hands them to the right person — with the work already done.

Executed automaticallyPrepared for approval

Opportunity feed

Live

  • Expansion

    Approval

    Customer usage increased 237% over 30 days.

    RAIL action: Expansion opportunity created for review.

  • PLG → SLG

    Auto

    14 users from the same enterprise domain activated advanced features.

    RAIL action: Created PQL and routed to the enterprise AE.

  • Pipeline risk

    Approval

    $126K opportunity inactive for 19 days.

    RAIL action: Researched account changes and prepared a re-engagement brief.

  • Opportunity detected

    Auto

    Target account pricing activity increased 4× this week.

    RAIL action: Updated account score and alerted the owner.

Operating philosophy

AI where software is better. Humans where humans are better.

Autonomy isn't all-or-nothing. RAIL draws a clear line between what runs on its own, what waits for your approval, and what belongs to people entirely. Nothing customer-facing sends itself without your say-so.

Auto-Execute

Low-risk, deterministic, operational

Work with a correct answer and no judgment required. RAIL just does it — continuously, without being asked.

  • CRM cleanup & deduplication
  • Enrichment & categorization
  • Scoring & prioritization
  • Account research & monitoring
  • Routing & assignment
  • Internal alerts
  • Workflow initiation
Human Approval

Drafted by RAIL, decided by you

Actions requiring discretion arrive fully prepared — context, reasoning, and a draft — waiting on one click. Nothing customer-facing sends itself without your say-so.

  • Strategic outreach
  • Important customer communication
  • Pricing conversations
  • Sensitive escalations
  • High-value account plays
Human-Owned

Where people create disproportionate value

RAIL clears the operational noise so your team spends its time where humans are irreplaceable.

  • Relationships & trust
  • Discovery
  • Negotiation
  • Strategy
  • Complex communication
  • Executive interaction

Automate operations. Amplify people.

Integrations

Your existing stack. Now intelligent.

RAIL doesn't replace your GTM systems — it sits above them, reading their signals and orchestrating their actions. Bring your CRM, or use the one built in.

Explore the ecosystem
  • Salesforce
  • HubSpot
  • Built-in CRM
  • Customer.io
  • Google Analytics
  • Google Ads
  • LinkedIn Ads
  • Apollo
  • Outreach
  • Salesloft
  • Gong
  • Segment

Revenue Leakage Assessment

How much revenue is hiding inside your existing GTM engine?

Complete the RAIL Revenue Leakage Assessment and receive a personalized Revenue Execution Score — with the specific places your funnel is likely losing deals.

12 questions · ~3 minutes · instant score

Your next revenue opportunity already left a signal.

RAIL makes sure someone—or something—acts on it.