Maple

Layer 01 · Data Foundation

The Data Foundation.Where the agent's reality lives.

Without a unified, real-time, governance-ready data foundation, every agent above it hallucinates or stalls. We architect the golden record that makes your agents trustworthy.
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Most enterprise AI initiatives fail not because the model is wrong, but because the data is. Customer records are split across product, billing, support, and marketing tools. Identity resolution is a quarterly batch job. The truth an agent needs at the moment of reasoning is either stale, incomplete, or locked in a system the agent can't reach.

Maple builds the data layer first — Salesforce Data Cloud as the identity-resolved golden record, zero-copy integrated with Snowflake or Databricks for the analytics and ML side of your stack, and AWS for the broader data plane. Agents above this layer don't need to integrate with seven systems. They query one trustworthy surface.

Salesforce Data CloudSnowflakeDatabricksAWS

What We Deliver

Specifically, in an engagement.

  • Salesforce Data Cloud configured as the identity-resolved golden record across product, sales, support, and marketing systems
  • Zero-copy integrations connecting Data Cloud, Snowflake, and Databricks: no nightly ETL, no duplication, no stale joins
  • Real-time data triggers wired into the agent layer above (Data Cloud → Agentforce / Maven AGI / Anthropic on Bedrock)
  • Identity resolution rules tuned for your business: household, account hierarchy, anonymous-to-known conversion
  • Compliance and lineage baked into the architecture: HIPAA, SOC 2, GDPR-ready data flows from day one
  • Documentation + transfer-ready data model so your team can extend the foundation without re-engaging Maple

How it Changes by Industry

Same architecture. Different tuning.

B2B SaaS

Unify product telemetry (Databricks/Snowflake) with CRM, support, and billing in Data Cloud so agents reason on real product usage, not just CRM stages.

FinTech

Lock the trust boundary at the data layer: sensitive PII never leaves your cloud. Data Cloud + AWS keeps regulated data inside your VPC.

HealthTech

Health Cloud + Data Cloud + AWS HealthLake. PHI stays under your BAA. Agents above reason on de-identified or appropriately-scoped data.

How It Connects

The other layers in the stack.

Reasoning + Agents

Claude, Agentforce, and Maven AGI: the runtimes that take action on top of your data foundation.

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Experience Layer

Vonage, Service Cloud, and Headless 360: where the agent's work meets the customer.

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Agentic Governance

The monthly governance practice that keeps your data foundation healthy after the build.

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Ready to architect your agentic stack?

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