Fragmented signals
Sales sees pipeline. CS sees health. Marketing sees engagement. Nobody sees the account as one story, so decisions happen on partial data in separate tools.
Native Salesforce GTM engine
Your GTM motion: perceiving, deciding, acting as one engine.
Atomic sees every signal across sales, CS, and marketing. It reasons in your business vocabulary. It acts on the Salesforce data layer - on a dial you control.
Start with a 30-day diagnostic: zero writes, full visibility, and a clear record of what Atomic would have done.
GTM control plane
Account 360 timeline
Signals captured
Pipeline movement8
Customer health9
Campaign engagement10
Data hygiene11
Recommended action
Route enterprise expansion risk
Account health dropped, champion engagement slowed, and renewal date is inside 60 days. Proposed T2 action: create task and notify account owner.
Policy
Approve
Trace
Full
3-5
point solutions replaced over time
~30 min
AppExchange install
0 writes
starts in observation mode
The problem
Every team has tools. Nobody has the full picture.
The problem is not missing data or missing AI. It is that nothing connects perception to action without a human in the middle.
Manual everything
Field updates, routing, task creation, churn flags, and pipeline hygiene still fall back to RevOps. Every new tool adds integration overhead without removing the mechanics.
AI that suggests but does not do
The dashboard says champion risk is rising. Then someone still has to open Salesforce, decide what should happen, and make the change before the value disappears.
Atomic connects signal, judgment, and execution inside the Salesforce layer your GTM teams already run on.
The engine
One engine that sees, thinks, and acts across your entire GTM motion.
The architecture is the proof, not the pitch. What matters is that signals become context, context becomes decisions, and decisions become governed Salesforce actions.
01
Signals
02
Perception
03
Context
04
Reasoning
05
Action
06
Governance
The longer it runs, the less your team has to reconcile. Governance feeds context, context improves reasoning, and the next pass starts with a better picture.
Perception
See everything on one timeline
Field changes, stage movement, emails, meetings, campaign touches, silence, and intent signals land on one account-anchored timeline before the AI touches them.
Context
Context that compounds
Atomic builds a knowledge layer around your vocabulary, domains, and playbooks. Corrections feed future evaluations, so day 90 is sharper than day 1.
Reasoning
Two brains, not one
Deterministic rules handle scoring, routing, deduplication, and attribution. AI handles judgment calls using the same structured context.
Action
Actions, not suggestions
Atomic updates fields, creates tasks, routes leads, flags churn, and notifies teams on the Salesforce data layer - not in a separate overlay.
Governance
Self-governing
Every decision stores its prompt, context, trace, and outcome. When accuracy drops or overrides appear, the engine throttles itself.
The dial
You control the dial. Always.
Every possible action is grouped by risk. You choose the policy for each tier, and the engine keeps a trace of every decision it makes.
Action risk
T1Data operations
Update a field, enrich a record
T2Internal comms
Create a task, Slack a channel, route a lead
T3Customer-facing
Send a customer email, update a visible status
T4Destructive
Convert a lead, delete a record
HumanNever automated
Close Won, Close Lost
Policy setting
Off
Propose & Approve
Auto & Notify
Full Auto
Diagnostic default
Atomic begins at zero writes. It earns trust before you move any tier from observation to action.
Week 1
Install. Diagnostic mode. Atomic watches the org and shows what it would do without doing it.
Month 1
T1 data ops go live. Fields get cleaned, records enriched, and hygiene stops eating the calendar.
Month 3
T2 goes live. Tasks, routing, and Slack alerts fire when the signal matters.
Month 6
The open RevOps req does not get backfilled because the mechanics are already running.
Who it is for
Built for teams running real GTM on Salesforce.
RevOps leaders
Your team is buried in pipeline hygiene, routing, field updates, and tool reconciliation. Atomic handles the mechanics so RevOps can operate at the strategic level.
CROs / VP Sales
You need pipeline velocity, deal visibility, and churn prevention without adding headcount or another dashboard your team has to remember to check.
GTM operators
You are running several tools and still spending hours on data quality, attribution, and cross-team coordination. Atomic consolidates the work into one engine.
The math
The math works at every level.
Cost is not the hero, but it is useful proof. Atomic replaces overlapping tools while freeing the RevOps hours those tools still require.
| What you are paying for | Typical annual cost | What Atomic replaces |
|---|---|---|
| Attribution tool | $18K-$35K | 7 attribution models, closed-loop learning |
| Data quality / enrichment | $15K-$40K | Dedup, identity resolution, field hygiene |
| Lifecycle / pipeline tracking | $20K-$45K | Dimension-scoped lifecycle engine |
| AI signal / intent platform | $25K-$55K | 23 insight types, 10 detection categories |
| Action / orchestration layer | $20K-$40K | 6 action types, 5 tiers, Slack integration |
| Typical 3-5 tool stack | $85K-$255K/year | |
| Atomic | $15K-$72K/year |
The average mid-market RevOps team spends 30+ hours/week on operational mechanics that Atomic is built to handle autonomously.
Pricing
Simple pricing. No per-seat. No consumption traps.
Every tier starts with a 30-day diagnostic. Atomic observes your org and shows what it would do before any policy writes to Salesforce.
Starter
$15,000/year
For teams ready to put data operations and lifecycle visibility on rails.
- Up to 500 accounts
- 1 dimension
- T1-T2 action tiers
- 3 attribution models
- Standard audit
- Email support
Common path
Growth
$36,000/year
For GTM teams ready to coordinate sales, CS, and marketing signals.
- Up to 2,000 accounts
- 3 dimensions
- T1-T3 action tiers
- 7 attribution models
- Full audit + confidence tracking
- Priority support
Enterprise
$72,000/year
For mature Salesforce orgs that need custom policies and full governance.
- Unlimited accounts
- Unlimited dimensions
- All action tiers
- 7 attribution models + custom
- Full audit + custom policies
- Dedicated CSM
The architect's case
You have been asked to enable AI. Your systems are not ready. This one is.
Atomic is the system you would build if you could start from scratch with AI as the operating assumption - not bolted on after the fact.
Signal capture is foundational
Every change becomes a scored, categorized event on one account-anchored timeline. The AI reasons over a perception layer, not raw SOQL.
Context is typed and scoped
Your ontology defines vocabulary, domains, and scoring. Past evaluations and corrections compound the knowledge base.
Execution respects the platform
FLS on queries, CRUD on writes, governor-limit compliance, Named Credentials for API keys, and no external infrastructure.
Governance is architectural
Confidence decay, reversal detection, recency-weighted scoring, audit traces, and readiness gating are part of how the engine runs.
Atomic is not an AI feature on top of a system that cannot handle it. It is the system built to handle it.
How it works
Live in 30 minutes. Earning trust in 30 days.
01
Install from AppExchange
Standard Salesforce package install. No integration project, data migration, or external infrastructure.
02
Point it at your data
Choose the dimensions to activate. The ontology builder configures vocabulary, ICP, stage definitions, and priorities.
03
Run diagnostic mode
For 30 days, Atomic captures signals and shows exactly what it would do without writing a record.
FAQ
Direct answers for skeptical operators.
I have been asked to enable AI across our GTM stack. Can I point leadership at Atomic?
Yes. Atomic ships with a full audit trail for every AI decision: prompt, context, reasoning, outcome, and success tracking. It is the difference between turning on an AI feature and running a measured AI operation.
Is Atomic safe to run in my production Salesforce org?
Yes. Every query respects field-level security, every action respects CRUD permissions, and diagnostic mode lets you verify the engine before any writes happen.
What if the AI makes a bad decision?
Governance tracks accuracy per action type. If success drops below threshold, that action escalates to human approval even if it was previously automatic.
Does this work alongside Gong, Clari, or my existing tools?
Yes. Atomic consumes signals from systems that write to Salesforce. You can run it alongside existing tools and phase out overlap as coverage becomes clear.
How is this different from Agentforce?
Agentforce is a platform for building agents. Atomic is an opinionated GTM engine you install, configure, and govern without designing agents or prompts from scratch.
What is the minimum Salesforce edition?
Enterprise Edition or above. The package requires Platform Events, Custom Metadata Types, and Named Credentials.
Waitlist
See what Atomic would do with your data.
Join the waitlist for the diagnostic. If the recommendations are not valuable, you have lost nothing but the install time.
Join the waitlist
Or reach out: hello@atomicgtm.org
30-day diagnostic
Zero writes
Full visibility