Disrupting Data Management
through Agentic AI

AI-Powered Data Engineering SDLC Agents

A team of autonomous agents that cover the entire data engineering lifecycle — from raw requirements to production-ready Snowflake & dbt code. Fully automated, independently validated, and versioned at every step.

Explore Our Agents See the Platform

Built on

Snowflake Cortex

Data Engineering SDLC

End-to-End Lifecycle Coverage

Six specialized agents work across every phase of the data engineering journey — so your teams move faster without sacrificing quality or control

OneData lifecycle coverage — Requirements, Design, Build, Test, Deploy, and Operate

Orchestrating agents

Engagement scenarios

Quality scoring dimensions

100%

Snowflake-native output

Core Agents

Six Agents, One Pipeline

Each agent owns a phase of the pipeline, brings deep domain expertise, and hands off through human-reviewed quality gates. Click any agent to see how it works.

📋

Phase 1

Requirements Generation Agent

Turns meeting notes, documents, and existing code into clear business requirements and a KPI catalog — every requirement traced back to its source.

RequirementsKPIsTraceability

Explore agent

🏗️

New

Design Agent

Turns approved requirements into the blueprint for your pipeline — the data layers, tables, and relationships needed to answer every business question.

Pipeline blueprintData modelDesign docs

Explore agent

✏️

Phase 3

STTM Generation Agent

Documents exactly how every field maps from source to target — the transformation rules behind each table — and hands your team a clean Excel sheet to review and sign off.

Source-to-target mapsFull lineageReview-ready

Explore agent

💻

Phase 4

Code Generation Agent

Turns the approved mappings into production-ready Snowflake code, generated in parallel and ordered correctly so everything runs the first time.

Production codeSnowflake-nativeFaster delivery

Explore agent

📦

Phase 5

dbt Pipeline Generator Agent

Packages everything into a ready-to-run dbt project, then adds reusable logic, business-ready data marts, and automated quality tests on top.

dbt projectBusiness martsQuality tests

Explore agent

🔄

Phase 6

Incremental Updates/Enhancements Agent

Detects what changed across inputs, manual edits, and change requests — then surgically updates only the affected entities, leaving the rest untouched.

Change detectionBlast radiusVersioning

Explore agent

View the full agent catalog

Quality Assurance

Independent Validation at Every Stage

Every deliverable is audited by a separate, read-only validator before it advances — no agent grades its own homework

✅

STTM Validation Agent

Structural closure, phantom-table detection, type compatibility, and semantic alignment against the BRD — with a clear PASS / WARNINGS / FAIL verdict.

🔎

Code Completeness Scoring

Every piece of generated code is scored against the approved specification across 10 quality dimensions — with evidence behind each score, never inflated.

🛡️