# Varveta

> Varveta provides IT services in data engineering, analytics and AI implementation. Connect business systems, improve reporting and automate everyday work.

Varveta implements data pipelines, stabilizes existing workflows, modernizes data platforms, integrates generative AI, and provides ongoing engineering support. Scope, milestones, pricing, and responsibilities are agreed before implementation. Project work and handover happen in client-controlled systems.

The design library and workflow demos are illustrative designs with fictional data, not client case studies or measured production results. Enquire for a project-specific quote; form budget ranges are not service prices.

## Services
- [Data Engineering](https://varveta.com/services/data-engineering): Pipelines, platforms, stabilization, and ongoing support
- [Artificial Intelligence](https://varveta.com/services/artificial-intelligence): Production AI integration for defined business workflows
- [Data Analytics](https://varveta.com/services/data-analytics): Dashboards, business metrics, and automated reporting
- [Analytics & Automated Reporting](https://varveta.com/services/analytics-and-reporting): Turn business data into clear dashboards and reporting your team can use
- [Data Pipeline Implementation](https://varveta.com/services/data-pipeline-implementation): Build dependable data movement from source systems to usable, monitored destinations
- [Airflow & Data Pipeline Stabilization](https://varveta.com/services/pipeline-stabilization): Reduce recurring failures and make existing Airflow and data workloads easier to operate
- [Data Platform Modernization](https://varveta.com/services/data-platform-modernization): Move fragmented or aging data infrastructure toward a maintainable production platform
- [Production AI & RAG Integration](https://varveta.com/services/production-ai-integration): Integrate generative AI and retrieval-augmented generation (RAG) into business workflows with evaluation and human review
- [Ongoing Engineering Support](https://varveta.com/services/ongoing-engineering-support): Keep delivered systems reliable and make planned improvements after initial implementation

## Reference designs
- [SAP HANA sales analytics and company AI](https://varveta.com/designs/sap-hana-sales-intelligence): Interactive fictional distributor workflow, showing order follow-up reporting and source-backed assistant answers. Not a client deployment.
- [A clearer view of every order](https://varveta.com/designs/order-visibility): Bring order updates into one view for operations Illustrative reference design.
- [A clearer view of every order - Markdown brief](https://varveta.com/designs/order-visibility/brief): Proposed approach, decisions, and checks before release.
- [Company answers, with sources](https://varveta.com/designs/company-knowledge-assistant): Help employees find answers in the information they can access Illustrative reference design.
- [Company answers, with sources - Markdown brief](https://varveta.com/designs/company-knowledge-assistant/brief): Proposed approach, decisions, and checks before release.
- [Invoices ready for review](https://varveta.com/designs/invoice-review): Extract invoice details. Put exceptions in front of the right person Illustrative reference design.
- [Invoices ready for review - Markdown brief](https://varveta.com/designs/invoice-review/brief): Proposed approach, decisions, and checks before release.

## Resources and delivered project stories
- [Resources](https://varveta.com/resources): Guides, articles, reference designs and reusable templates.
- [Company-document AI evaluation worksheet](https://varveta.com/resources/templates/document-ai-evaluation-worksheet): Plan checks for grounded answers, conflicting documents, access boundaries and missing evidence before releasing an internal AI assistant.
- [Pipeline recovery runbook template](https://varveta.com/resources/templates/pipeline-recovery-runbook): A reusable worksheet for recording impact, safe replay, validation evidence and ownership during a data-pipeline incident.
- [Your Airflow task succeeded. Is the reporting data ready?](https://varveta.com/articles/airflow-success-data-validation): Separate task completion from data readiness with checks for missing records, duplicate keys, freshness and business totals.
- [How to recover a failed Airflow data pipeline](https://varveta.com/guides/airflow-pipeline-recovery-checklist): A practical Airflow recovery checklist: identify affected data, check rerun safety, validate results, and document a repeatable recovery procedure.
- [What to check before building AI over company documents](https://varveta.com/guides/company-document-ai-readiness): Plan a company-document AI assistant with a defined workflow, source ownership, document permissions, answer evaluation, and a clear handover.

## Delivery and contact
- [About Varveta](https://varveta.com/about): Services, delivery approach, reference materials and company contact information.
- [How we deliver](https://varveta.com/delivery): Scoping, milestones, deployment, documentation, and team handoff.
- [Workflow demo and handover samples](https://varveta.com/proof): Scripted workflow and sample operating documents.
- [Discuss a project](https://varveta.com/contact): Share requirements and request a scoped proposal.
- [Sitemap](https://varveta.com/sitemap.xml): Canonical public pages.

## Optional
- [Privacy](https://varveta.com/privacy)
- [Terms](https://varveta.com/terms)