Conviction Intelligence™

AI Is Giving Every GTM Team 10X Activity. You Need 10X results.

The difference isn't more AI. It's what your AI, and your reps, run on. While everyone else is spraying 50 leads and hoping one sticks, ATC delivers a precise plan to close: the exact problem, the right person, and exactly what to do. Precision is how you earn conviction. Conviction is how you get 10X results.

Add ATC to Claude or ChatGPT in Minutes→Get Your First Account Attack Plan →
[no credit card required]
From the Field

“I'm getting the output of 10 salespeople. I'm never going back.”

Jim B.·Regional Sales Manager, AI Data Platform Company

Jim built an AI-orchestrated outbound system with ATC at the center. He feeds ATC with internal marketing data and account context, and ATC tells him exactly who to call, what problem they have, and how to solve it. The result? 10X reply rates and C-level engagement across the board.

Claude helps you go 10x faster. ATC lets you 10x your results.

Same prompt. Same model. ATC adds the buying center, active initiative, stack, and motion that make outreach worth sending.

Claude without ATC

Claude
Is Wells Fargo a good fit for Snowflake? Find the right contact and draft an outbound email I can send.
Claude is researching public sources...
Researching public sources...
  1. Researching Wells Fargo on the webLooking for broad data, cloud, analytics, and financial-services signals.
  2. Reading Wells Fargo press releasesFinding modernization themes.
  3. Inferring fitLarge bank plus governance needs suggests a possible Snowflake fit.
  4. Drafting outreachFocusing on data modernization
FIT FOR SNOWFLAKEBroad fit based on digital and AI adoption signal

Wells Fargo recently highlighted major digital banking milestones, including growth in mobile usage and AI-powered customer interactions. That creates a plausible need for governed analytics, customer-data infrastructure, and scalable AI/reporting workflows. However, public sources alone do not identify a specific buying center, active data-platform project, or technical pain.

SUBJECTData foundation for Wells Fargo’s digital growth?

Hi {first_name},

Congrats on Wells Fargo’s recent digital banking milestones, especially the scale of Fargo and mobile engagement.

As digital and AI usage grows, many financial services teams look for more governed ways to unify customer, product, and interaction data across systems.

Snowflake helps banking teams consolidate data, improve governance, and support analytics and AI workloads at scale.

Worth a brief conversation next week?

Likely true. Reasonably written. Still easy to ignore because it does not know the buyer, the system constraints, or the live business pain.

Claude with ATC

Claude
Is Wells Fargo a good fit for Snowflake? Find the right contact and draft an outbound email I can send.
ATC is building account fit from stack, org, contact, and initiative data...
Building ATC account plan for Snowflake...
  1. Scoring account fitStack, hiring, and relationship data point to a real Snowflake wedge.
  2. Mapping the buying centerTransaction Risk Strategy prioritized over generic enterprise data.
  3. Resolving the right contactNamed owner found for model governance and false-positive reduction. Name redacted.
  4. Finding active painGovernance modernization and model-refresh pressure surfaced as the trigger.
  5. Writing the motionGoverned risk telemetry layer without a full SAS or BI rip-and-replace.
FIT FOR SNOWFLAKEStrong fit: transaction-risk decisioning at Wells Fargo

ATC found a specific buying path: Transaction Risk Management is scaling risk decisioning across ATM, mobile, and branch channels while legacy analytics infrastructure creates concurrency, refresh-cycle, and false-positive pressure. Start with the Head of Risk Technology / CRO org, where Snowflake’s elastic compute can separate ingestion, model refreshes, and downstream analytics.

SUBJECTReducing false positives in transaction-risk queues

Hi [name redacted],

As Wells Fargo’s Transaction Risk Management org scales risk decisioning across ATM, mobile, and branch channels, it may face challenges managing risk without adding latency or review-queue noise.

The common bottleneck we see is concurrency. Risk teams need fresher model outputs, but ingestion, scoring, BI, and downstream analytics often compete for the same warehouse capacity. Governance issues can also arise while parts of the workflow still depend on SAS, Tableau extracts, and batch feature refreshes.

Snowflake can give risk-data teams isolated, elastic compute for high-volume scoring and analytics, so model refreshes do not slow ingestion or downstream reporting. Worth comparing notes on how Tier-1 banks are reducing false positives while keeping transaction-risk governance intact?

Specific buyer. Specific pain. Specific reason to answer.
Map the right buying center
Lead with the active initiative
Translate stack into motion

10X activity from AI is easy. 10X results require something different.

See It In Action
MCP demo
Rank the 100 Snowflake accounts worth calling first
A new Snowflake SDR inherits a book of 100 accounts and asks ATC through MCP which ones are hottest right now. ATC turns the territory into a ranked call list grounded in buying signals, account context, and a clear next move for where to spend the first hour.
What We Built

Conviction Intelligence™

“Intelligence synthesized to certainty: not just the activity signals within an account, but what's actually happening and exactly what to do about it.”

ATC's proprietary intelligence infrastructure spans ecosystem data, real-time signals, and machine learning processed through investment-research discipline to produce a single, account-centric directive: the problem your prospect faces, why they face it, and how you solve it. You don't improve your odds with Conviction Intelligence. You go in knowing.

We don't deal in signals. We deliver Conviction Intelligence.

10×
Reply rate improvement
with ATC intelligence
80%
Reduction in
meeting prep time
10×
Productivity multiplier:
one rep, the results of ten
20+
Years building
ecosystem intelligence
The Difference

Others give you a signal. We give you the full picture, and a precise plan.

Signal vendors give you suggestions. ATC tells you what's happening, why it matters, and exactly what to do about it.

— Signal Vendors
“Here are 50 accounts you might want to call.”
🔬
TIP · Snowflake activity detected
  • Intent Signal · Snowflake
  • Tech Stack Match · Redshift
  • Job Posting · Data Engineer
  • Website Visit · Pricing
50 leads to spray. No prioritization. No path to close.
vs
— ATC · Conviction Intelligence™
“Here's exactly what's happening, and what to do.”
ACCOUNT ATTACK PLANCrusoe Energy for Snowflake
01 / 04
Crusoe account plan problems most relevant to Snowflake's solution.
01
Problem thesis

AI infrastructure telemetry, data quality, and consolidation pains ranked by fit.

✓ Account thesis. Buying committee. Outreach ready.
Our Point of View

Without precision, more AI just means more of the wrong answers, faster.

The gap isn't between companies using AI and companies not using AI. It's between the ones running their AI on verified, account-specific intelligence, and everyone else running on generic signals and surface-level data. Precision isn't a feature. It's the foundation. Everything else flows from it: the plan, the outreach, the result.

The winners won't have the most signals. They'll have the precision to act with conviction.

How It Works

Three ways to 10X your results.

01
Way 01
Account Attack Plans

Start here. Get a structured Account Attack Plan for any target: exact problem, right person, precise approach. All before your first outreach.

Get your first plan →
02
Way 02
MCP / LLM Integration
ATC
→
Claude
→
Output

Level up. Ask your LLM which accounts to call this week, get a plan in 30 seconds, draft the outreach. ATC grounds every answer in verified intelligence.

Add to your LLM →
03
Way 03
Agentic Infrastructure
AI
AI
AI
AI
AI
AI

Scale it. Integrate ATC as the intelligence layer across your entire agentic stack. Every agent operates on Conviction Intelligence: precise, verified, ready to act.

Talk to us →
Why We're Different

Built by the team that decoded technology ecosystems for institutional investors.

Our founders spent two decades at Pacific Crest Securities where multi-billion-dollar decisions depended on their ability to predict where technology ecosystems were heading, before anyone else could see it. Trusted by Fidelity, J.P. Morgan, T. Rowe Price. We brought that same discipline to GTM. That's what makes Conviction Intelligence™ different from everything else out there.

Our full story →
1999

Pacific Crest Securities

Built a top tech-focused investment bank. Trusted by Fidelity, J.P. Morgan, T. Rowe Price.

2010

Ecosystem Research Discipline

Pioneered the ecosystem approach: mapping how technologies interact, not just what they do.

2023

ATC Launches

Brought investor-grade intelligence discipline to GTM. Same team. Same rigor. New mission.

Get Started

Ready to 10X your results?

Get an Account Attack Plan, plug ATC into your LLM, or build it into your agentic infrastructure. One platform. Three paths to 10X.

Get Your First Account Attack Plan →Add ATC to Claude or ChatGPT in Minutes →