Automated Data Architect

ADAM

Automated data engineer. Orchestrated by humans.

Data architecture is complex, slow and error-prone. ADAM turns weeks of manual modeling into minutes — generating production-ready dbt projects, enforcing governance, and supporting every major cloud data platform.

Start with ADAM
  • Weeks → minutes from raw source to production dbt project
  • 8-stage governance pipeline, human-in-the-loop at every gate
  • Snowflake · BigQuery · Redshift · Databricks · PostgreSQL

Every organization sits on valuable data, but turning raw sources into governed, analytics-ready assets still takes weeks of profiling, hand-written transformations, manual test scaffolding and endless review cycles — before a single analyst can query the data.

Not autopilot — the architect still owns the decisions.
Not a code generator that hands you scaffolding without tests.
Not governance bolted on after — it's enforced at every stage.

Human decisions. AI execution.

ADAM connects to your platforms, profiles your schemas, and generates complete architecture artifacts — while you keep approval authority at every gate. Nothing deploys without your sign-off.

What You Get

Architect-led, AI-executed, governed by default.

Four load-bearing capabilities — what the human owns, what the AI executes, where it runs, and how it stays safe.

Human Architect

  • Selects the architecture pattern (Medallion, Data Vault 2.0, Kimball)
  • Reviews and approves generated models at every gate
  • Defines business rules and data classifications
  • Validates PII detection and security governance

AI Execution Engine

  • Profiles schemas, detects relationships and PII automatically
  • Generates complete dbt projects with tests and documentation
  • Builds Bronze / Silver / Gold transformations end-to-end
  • Enforces naming conventions, test coverage and security rules

Multi-Platform Support

Connect to any major cloud data platform and generate architecture artifacts natively.

Snowflake BigQuery Redshift Databricks PostgreSQL

Governance Built In

Automated classification, lineage and compliance from the start — not bolted on after.

PII Detection Data Classification Lineage Tracking
90%
Faster than manual architecture
5+
Cloud platforms supported
100%
Test coverage on generated models
8
Governance pipeline stages
Quality & Governance

Every artifact passes through an 8-stage pipeline.

ADAM doesn't just generate code — it enforces data quality, security classification and architectural standards at every stage, with human approval before anything reaches production.

Governance pipeline
  1. 01 Source Profiling & Schema Discovery
  2. 02 Relationship Detection & Join Analysis
  3. 03 PII Detection & Data Classification
  4. 04 Architecture Pattern Selection
  5. 05 dbt Model Generation (Bronze / Silver / Gold)
  6. 06 Test Generation & Quality Rules
  7. 07 Documentation & Lineage Mapping
  8. 08 Human Approval & Deployment

Approval Gates

Human-in-the-loop at every critical decision point. Nothing deploys without explicit sign-off. Reject, request changes, or approve — ADAM adapts.

Quality Gates

Automated enforcement of naming conventions, mandatory not-null and uniqueness tests, referential integrity checks and freshness constraints on every generated model.

Security Classification

PII, PHI and PCI detection with sensitivity labels from Public through Restricted. Classifications flow through lineage so downstream consumers inherit protections.

What Ships to Your Team

Production dbt. Not scaffolding.

Every generated model arrives with tests, documentation, lineage and security controls already in place — ready to commit, review and deploy.

models/silver/customers.sql
-- generated by ADAM · medallion pattern · silver layer
WITH source AS (
  SELECT * FROM {{ ref('bronze_customers') }}
),

cleaned AS (
  SELECT
    customer_id,
    TRIM(email) AS email,
    -- PII: hashed before downstream propagation
    SHA2(ssn, 256) AS ssn_hash,
    created_at
  FROM source
  WHERE customer_id IS NOT NULL
)

SELECT * FROM cleaned

What's in every output

  • Complete dbt project — models, sources, seeds, project config
  • Tests — not-null, uniqueness, referential integrity, freshness
  • Auto-generated docs — descriptions, column lineage, source mappings
  • Naming conventions — enforced consistently across every layer
  • PII handling — masking, hashing and classification baked in
  • Lineage — full upstream/downstream visibility, ready for catalogs
Getting Started

From connection to production-ready architecture in days.

Connect your sources, pick your pattern, approve at each gate. ADAM generates everything your team needs to deploy with confidence.

01 Day 1

Connect & Discover

Connect ADAM to your data platform. Automatic schema discovery profiles every table, column and relationship across your sources.

02 Day 2–3

Architect & Generate

Select your architecture pattern. Review generated models, transformations and tests. Approve, reject or request changes at each gate.

03 Day 4–5

Test & Deploy

ADAM hands over a complete dbt project with tests, documentation and lineage. Your team deploys to production with confidence.

04 Ongoing

Evolve & Scale

As new sources arrive or requirements change, ADAM generates incremental architecture updates — maintaining consistency and governance automatically.

Ready to automate your data architecture?

Tell us about your sources and target platforms — we'll send back a scoped ADAM engagement: connections, patterns, governance, timeline.

Start with ADAM