Dernière mise à jour 07-24-2026
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DataBackfill
DataBackfill is a boutique AI and data delivery studio. Senior engineers, architects, and product designers build, integrate, and operate production AI systems for companies that need working software, not consulting slide decks.
The studio covers four practice areas: Claude implementation and integration, RAG and knowledge systems, agentic workflows and automation, and data infrastructure and analytics. Engagements follow a discover, build, and operate model, from scoped discovery sprints through production delivery and optional ongoing retainers.
Shipped work includes DataBackfill Sync, a GA4-to-BigQuery backfill SaaS with 1,400+ successful syncs and 99.9% uptime, plus client products like Tempo (cycle-aware fitness app on the App Store) and AssetOS (special situations investing platform with seven specialized AI agents).
Production Claude deployments integrated with your existing stack, including prompt engineering, evals, and guardrails
Custom RAG pipelines over proprietary data with vector databases, embedding pipelines, and hybrid search
Multi-step agent systems with tool use, function calling, and workflow orchestration
GA4, BigQuery, and data warehouse architecture with ETL and reverse-ETL pipelines
DataBackfill Sync for historical GA4 backfills into BigQuery with 1,400+ successful syncs shipped
Senior operators staff every engagement rather than junior consultants.
Ships working software into production, including Claude, RAG, and agent systems.
Offers a productized GA4-to-BigQuery backfill tool with 1,400+ successful syncs.
Custom engagements require a conversation before pricing is set.
Focused on production builds rather than self-serve software you can try instantly.
What does DataBackfill do?
DataBackfill is a boutique AI and data delivery studio. The team builds production AI agents, RAG and knowledge systems, Claude integrations, and data infrastructure, including GA4-to-BigQuery pipelines, for companies that need working software.
How is DataBackfill different from a typical AI consulting firm?
Every engagement is staffed by senior operators who have shipped this kind of work before. DataBackfill ships into production rather than handing off a roadmap and disappearing.
Can DataBackfill integrate Claude into an existing product?
Yes. DataBackfill designs and deploys production Claude implementations integrated with your existing stack, including prompt engineering, evals, guardrails, and tool use for agentic workflows.
Does DataBackfill build RAG systems for proprietary data?
Yes. The studio builds custom retrieval pipelines over proprietary data sources, including vector databases, embedding pipelines, hybrid search, and document ingestion.
How long does a typical engagement take and what does it cost?
Most build engagements run 6 to 12 weeks and are priced on scope, not seats. A 2-week Discovery Sprint is available first if you need a technical plan and estimate before committing to a full build.