ATC's Account Attack Plan provides a full view of your account's priorities so you can start solving problems and stop selling products.
Example · Product: AWS SageMaker · Prospect: Nike
Product + prospect + ecosystem signals
3 high-probability problems surfaced from the account graph.
CURRENT NIKE BUSINESS PROBLEMS
YOUR PRODUCT SOLVES
Disjointed training + observability across custom AI Ops workflows.
Friction between high-performance data processing and scalable ML deployment.
RANKED ACCOUNT QUEUE
Nike's expansion into agentic AI and recent consolidation of technology into operations creates a prime opportunity to standardize fragmented machine learning workflows on SageMaker.
Anthropic and OpenAI investment (+)
Signals readiness for enterprise-grade foundation model deployment on a shared ML platform.
Fiddler and Databricks footprint (-)
Suggests existing MLOps and observability incumbents that ATC should position SageMaker against.
EMR and S3 data foundation (+)
Creates a low-friction path to standardize fragmented machine learning workflows on SageMaker.
(+) Tailwinds / (-) Headwinds
“We historically relied upon simple product signals to determine if an account was a good fit. ATC’s ability to provide a quick, comprehensive view of account has gotten my sales team focused on our best opportunities.”— Sales Manager
“ATC’s ability to identify my accounts’ problems that align with our solutions has been a game changer for cutting through the noise and getting meetings.”— SDR
“ATC’s Account Attack Plans have not only cut my meeting prep time by 80%, but also doubled my success rate in getting meetings.”— Account Executive
ATC’s leadership team first worked together in establishing Pacific Crest Securities (PCS) as a top technology-only investment bank. The firm was renowned among institutional investors, such as Fidelity, J.P. Morgan and T. Rowe Price, for providing forward-looking insights on the evolution of technology that contributed to consistent market outperformance.
Similar to his role as Chairman and CEO of PCS, Scott sets vision, strategy and priorities for ATC.
Steve focuses on managing project development, customer success and daily operations at ATC. He was Director of Research at PCS.
Ben leads product ideation and development for ATC. At PCS, he led the analysis and integration of data into PCS’s investment research.
Daniel leads product, application development, and AI initiatives at ATC. He served as Chief Data Scientist and CTO at PCS’s China research team, Pacific Epoch.
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