Intelligence engine · system map
- 01
Model the seller product
Capabilities, positioning, ecosystem, proof - 02
Understand the prospect
Stack, initiatives, problems, people - 03
Build the account plan
Fit, wedge, practitioner, decision maker, message
How ATC works · Built for software GTM
Know where your software can win — and why.
ATC models your product — what it does, how it is positioned, the ecosystems it fits, and the problems it can solve. It intersects that product intelligence with each prospect's stack, initiatives, organization, and people to produce a precise plan.
About 30 seconds · No credit card required
10 millionsoftware products curated
100 million+customized to your product
96%technology initiatives and categories
10+ yrsadoption + sentiment history
The intelligence engine for software GTM
Deep product intelligence meets account ground truth.
Three layers connect how technical products are built, adopted, and positioned with what is changing inside a specific prospect.
Curated data
Map how software is built and adopted.
ATC integrates developer and enterprise behavior to understand product ecosystems, not just isolated intent signals.
- Open-source activity + developer discussion
- Enterprise adoption + product momentum
- Hiring, employee expertise + org structure
- Products, initiatives + historical sentiment
Modeling framework
Reason from the product being sold.
ML applications analyze the prospect through the seller product's capabilities, positioning, ecosystem, and historical outcomes.
- Seller capabilities + technical positioning
- Product ecosystem + prospect stack
- Relevant people + buying-center mapping
- Business problem + timing + likelihood
Modeled for the product you sell
Decision-grade output
Show exactly where the product can help.
The output is a reasoned plan your software GTM team or AI can act on immediately — with every step traceable to evidence.
- Account priority + active problem
- Practitioner, champion + decision maker
- Technical wedge + reason to act now
- Role-specific message + next move
Every judgment is specific to both sides of the equation: the product being sold and the account being pursued.
The platform
Three inputs. One decision layer.
ATC's models, your AI, and your own revenue data resolve into one plan every team can work from.
ATC
- Developer, hiring, and initiative signals
- Prediction models
- 10+ years of adoption history
- Problem inference
- Buying-committee intelligence
Your AI
- The universe of publicly available information
- Reasoning applied on top of ATC's forecast
Your enterprise data
- CRM and contact data
- Pipeline and opportunity history
- Product context
One decision layer
Ideal Customer ProfileAccount Attack Plan
Workflows
Where teams start
Start with ICP. Grow into the whole motion.
A maturity model — most teams begin with ICP work, but you can enter at any stage.
- 01
ICP & account targeting
Define who to sell to, from your data and ATC's models.
- 02
Account prioritization
Rank accounts by strength of need for your product.
- 03
Account attack plans
A company-specific plan: the problem, the people, and the message.
- 04
Sequence generation
Multi-channel outreach written from the account's real problems.
- 05
Meeting preparation
Call prep grounded in the account's stack, problems, and people.
- 06
Expansion & pipeline planning
Find lookalikes of winning accounts and build pipeline where urgency is highest.
The Conviction Intelligence process
Where your software can solve a live prospect problem.
ATC models product truth and account truth together. That intersection reveals the strongest fit, the technical wedge, the people who own the problem, and the message most likely to earn a response.
Two truths, modeled together
Seller intelligence
The product you sell
A deep model of what the software does, where it fits, and the problems it can credibly solve.- Capabilities + architecture
- Positioning + proof
- Integrations + ecosystem
- Win/loss patterns
Account intelligence
The account you pursue
A current view of the prospect's technical reality, active priorities, organization, and people.- Stack + developer activity
- Initiatives + business problems
- Org structure + relevant people
- Adoption + timing signals
ATC product × account model
ML-driven ecosystem analysis
Product-specific conviction
ML-driven ecosystem analysis identifies where this product can solve a live problem at this prospect.
- Fit + timing
- Technical wedge
- Owning team + buying path
Product intelligence×Account intelligence
Sales-ready action
How one account plan gets built.
Prioritize
Rank accounts by product-specific need and evidence strength.
Diagnose
Name the live problem your product is positioned to solve.
Map
Find the practitioner, champion, and decision maker.
Engage
Shape the message to the person, problem, and product wedge.
The last mile
Find the people who own the problem your product can solve.
Product-specific account intelligence resolves the owning team, distinguishes the people who feel the pain from the people who fund the fix, and adapts the message to each role.
Practitioner
Feels the workflow friction and can validate the technical problem.
Champion
Connects the technical pain to an active initiative and internal urgency.
Decision maker
Owns the outcome, budget, risk, and reason to act now.
Owning teamTransaction Risk Strategy
Practitioner
Champion
Decision maker
Message shaped by role + live account problemHead of Risk Technology
“Reduce false positives without slowing transaction-risk scoring.”
One engine, many motions
One product-aware engine. Every software GTM motion.
Because ATC understands both the software being sold and the account being pursued, every team works from the same evidence-backed opportunity thesis.
Sales
Know which accounts deserve attention, who to call, and what to lead with.
Marketing
Build campaigns around real technical problems and active initiatives.
ABM
Coordinate account plays around one evidence-backed buying path.
Strategy
See how product ecosystems, adoption, and market structure are shifting.
Put prospect intelligence to work
- Score accounts against your product
- Build company-specific attack plans
- Connect ATC to Claude or ChatGPT via MCP
Create a free attack plan
Free account with credits that never expire · No credit card required.