Building AI Infrastructure
for Revenue Teams

DataShield is an AI infrastructure company focused on one problem: helping revenue teams close more deals with fewer tools, less manual work, and better intelligence.

Our Mission

Revenue teams are drowning in tools. The average B2B sales organization runs six or more disconnected platforms — CRM, sales engagement, conversation intelligence, intent data, enrichment, and forecasting. Each one solves a narrow problem. Together, they create a tangled mess of data silos, broken integrations, and administrative overhead that actively prevents reps from selling.

DataShield GTM exists to end that. We built a single, AI-native platform that does what those six tools do — but unified, intelligent, and at a fraction of the cost. Not by stitching APIs together. By building it from scratch with AI at the core.

What Makes Us Different

AI-Native Architecture

Most CRMs add AI as a feature — a chatbot here, an auto-complete there. DataShield GTM was designed around AI from day one. Our intelligence engine runs as a background daemon, continuously processing every record in your database. It enriches contacts, detects buying signals, scores opportunities, and surfaces insights without any human intervention. This isn't a prompt-and-wait experience — it's always-on intelligence.

Model Context Protocol (MCP)

We built on the MCP standard — the emerging open protocol for connecting AI agents to business applications. Our 39 MCP tools let Claude, GPT, or any compatible AI assistant directly interact with your live pipeline data through natural language. This means your AI workforce doesn't need custom integrations. It just works.

MEDDIC-First Pipeline

We didn't hack MEDDIC onto a generic CRM with custom fields. Pipeline management in DataShield GTM natively tracks Metrics, Economic Buyer, Decision Criteria, Decision Process, Identify Pain, and Champion for every opportunity. Stage progression is validated by AI against these criteria, and the win/loss learning engine uses MEDDIC patterns to predict outcomes and recommend actions.

Radical Cost Efficiency

A 25-person revenue team typically spends $187K/year across their GTM tool stack. DataShield GTM Professional for 25 users costs $44,700/year. That's not a marginal improvement — it's a fundamental restructuring of where your GTM budget goes. We can offer this because one unified platform is inherently cheaper to build and maintain than six separate ones.

The DataShield Platform

DataShield GTM is part of a broader enterprise AI infrastructure platform. Our technology stack includes:

  • Centralized Identity (Auth) — SSO across all DataShield services via Google, GitHub, Microsoft Entra, Okta, and SAML. RS256-signed JWTs with key rotation.
  • GTM Engine — AI-native CRM, pipeline management, multi-channel outreach, and revenue intelligence.
  • Knowledge Library — Enterprise knowledge management with AI-powered search and document intelligence.
  • Workbench — Multi-session development environment with integrated terminal management and project orchestration.

Security & Compliance

Enterprise sales data demands enterprise-grade security. DataShield GTM is built with security as a foundational requirement, not an afterthought:

Authentication: SSO via Google, GitHub, Microsoft Entra, Okta. RS256-signed JWTs with JWKS-based key rotation.
Authorization: Role-based access control — founder, admin, worker, viewer. Granular permissions per resource.
Encryption: AES-256-GCM for credentials at rest. TLS 1.3 for data in transit.
Audit: Full audit logging across all operations. Immutable event trail for compliance reporting.

Ready to Learn More?

Book a 30-minute demo and see DataShield GTM on your use case.

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Or email us directly: support@myorg.ai