Artie GTM brain

category

market profile

• text: Production database changes must reach warehouses quickly enough for fraud detection, customer analytics and AI features.
• text: Teams can replace batch pipelines or self-managed CDC with a managed service, but must evaluate connectors and reliability.

personas

• title: Head of data engineering
  pains:

  • Stale warehouse tables undermine operational analytics.
  • Engineers spend time maintaining replication and resolving schema changes.
• title: Platform engineering lead
  pains:

  • Running Kafka brokers and upgrades creates on-call load.
  • Production integrations need observable, reliable delivery.
• title: Analytics or fraud engineering lead
  pains:

  • Delayed Postgres data weakens real-time fraud decisions and customer-facing dashboards.

icp

• text: Companies with production Postgres, MySQL or MongoDB and a cloud warehouse or lakehouse such as Snowflake, BigQuery or Databricks.
• text: Growing software and financial services teams whose products or decisions depend on fresh operational data, from lean data teams to governed enterprises.

message pillars

• text: Stream production changes into analytics destinations with low latency.
• text: Reduce the burden of operating data infrastructure.
• text: Price replication around synced rows and avoid charging for backfills.

objections

• objection: Can a managed pipeline meet production reliability requirements?
  response: Evaluate latency, delivery guarantees, monitoring and uptime terms against a representative pipeline.
• objection: Will costs rise unexpectedly as data volume grows?
  response: Model billable rows using the pricing calculator and compare annual and monthly plans.
• objection: Can it support our governance and network requirements?
  response: Check Enterprise deployment, PrivateLink and connector coverage for the specific environment.

competitors

• name: Fivetran
  why: Managed data integration alternative with overlapping database replication.
• name: AWS Database Migration Service
  why: AWS service used for database replication and migration.
• name: Debezium
  why: Open-source CDC alternative that teams can operate themselves.

influencers

• name: Jacqueline Cheong
  url: https://www.linkedin.com/posts/jacqueline-cheong_artie-helps-companies-put-data-to-work-faster-activity-7163548782108897280-GQYo
  why: Co-founder shares funding and company story.

keywords

• real time CDC
• Postgres to Snowflake replication
• database change data capture
• managed Kafka
• Fivetran alternative
• streaming data warehouse

voice

• Technical and direct
• Operationally pragmatic
• Confident about simplicity

signals

• text: A team is moving from batch ingestion to real-time fraud or customer-facing analytics.
• text: A company is adopting Snowflake or BigQuery while struggling with database replication maintenance.

stack

• PostgreSQL
• MySQL
• MongoDB
• Snowflake
• BigQuery
• Kafka

hiring

• Product Engineer
• Senior Software Engineer
• Enterprise Account Executive
• Solutions Engineer

pricing

motion

channels

• SEO
• Developer documentation
• LinkedIn
• Cloud marketplaces
• Sales demos

confidence

Founders

• name: Jacqueline Cheong
  title: Founder
  role: Founder
  bio: Co-founder and CEO at Artie. Building the real-time data streaming platform for AI. We give companies the kind of streaming pipelines and deep observability that Netflix, DoorDash, and Instacart built in-house - without hiring 10+ engineers and spending 1-2 years on platform work. Artie automates the entire data ingestion lifecycle, from capturing changes to merges, backfills, and observability, and scales to billions of change events per day.
• name: Robin Tang
  title: Founder
  role: Founder
  bio: CTO @ Artie. Software engineer with a background in distributed systems.