aiDE™ is your enterprise AI data engineer — purpose-built for governed, production-grade pipeline delivery. With governance, CI/CD, and QA built in.
Enterprise data teams are held back by manual, error-prone processes — not because the problems are hard, but because the tooling forces everything to be repetitive.
aiDE™ eliminates the repetitive work — so engineers focus on architecture, strategy, and business value.
Every capability works together as a single, governed pipeline — not a collection of disconnected tools.
Generate production-ready ETL pipelines from a spec, Jira ticket, or plain-language description. Governance applied automatically on every build.
Pull Jira tickets automatically, analyze impact, implement changes, and update documentation end-to-end — without manual handoffs.
Restructure and optimize existing pipelines to meet updated governance policies and platform best practices. Automated and fully audited.
Auto-generate and execute test scripts. Evaluate code quality, correctness, and compliance before promotion to production.
Visual source-to-target lineage with intermediate transformation steps — generated automatically on every build, zero manual effort.
Comprehensive code docs covering approach, best practices applied, and governance policies enforced — written automatically, every time.
aiDE™ integrates natively with your existing data stack. No data movement, no new infrastructure required.
aiDE™ meets your infrastructure requirements — cloud, on-premises, or hybrid. Every option is fully governed and auditable.
aiDE™ runs in Systech's managed cloud environment. Fastest path to go-live.
Deployed within your AWS, Azure, or GCP environment. Your infrastructure, your control.
Fully air-gapped deployment via Dopplr™ — Systech's sovereign AI infrastructure product. Ideal for regulated industries requiring maximum data sovereignty.
Governance is not a feature you turn on — it is embedded in how aiDE™ generates every line of code.
Upload your enterprise data policies once. aiDE™ applies them automatically to every generated pipeline — 100% coverage, zero manual checks.
Every agent action is logged — which policy was applied, where, and why. Audit-ready output on every build, by default.
Enterprise Single Sign-On and Role-Based Access Control — integrates with your existing identity provider for seamless, secure team access.
Deploy in your environment — customer cloud or on-premises via Dopplr™. Your data never leaves your perimeter unless you choose cloud-hosted.
Compliance and audit checklists ingested as Knowledge Base inputs. Every build verifies against your specific regulatory requirements.
Automated rollback and diff tracking on every change. Full version history maintained in your Git repository — nothing is irreversible.
All code is inspectable, editable, and owned by your team. aiDE™ generates — your engineers review and approve before production promotion.
Model-agnostic architecture. Use your preferred LLM provider — including private models hosted within your own environment.
Key performance benchmarks from aiDE™ deployments in production data engineering environments.
aiDE™ is not a generic code assistant. It is purpose-built for enterprise data engineering — the difference shows in every capability.
Covers governance, CI/CD, testing, documentation, and lineage — not just raw code output. One agent loop, fully automated from spec to production.
Enterprise policy KB baked into every agent — compliance is automatic, not an afterthought. A full audit trail is generated on every single build.
Generates idiomatic code for Snowflake, Databricks, dbt, and Azure Fabric — without retraining or reconfiguration. Your platform, your choice.
"aiDE™ handled the heavy lifting — engineering teams focused on architectural strategy and performance optimization instead of repetitive coding."
Tell us about your data environment. We will show you what aiDE™ delivers — and what the timeline looks like.
Drop in your enterprise data policies and platform standards. aiDE™ learns your rules once and applies them automatically to every build.
Link Git, Jira, and your target data platforms — Snowflake, Databricks, dbt — in minutes. No complex setup required.
Submit an ETL spec or Jira ticket. aiDE™ generates production-ready code, tests, lineage, and documentation automatically.
Talk to a Systech data architect today for a personalized demo using your own data and environment.
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