Raw PDFs, Notion databases, Salesforce records, Slack threads, legacy SharePoint — we ingest any source, normalize everything into a queryable knowledge base, and keep it live-synced. For regulated teams, the pipeline runs inside your infrastructure. No document touches an external service during indexing.
Source-only answers make it easier to verify what was used and catch an answer that does not have evidence.
✓ Included in every deploymentNo half-built proofs of concept. Every engagement ships to production with documentation, evals, and a handoff your team can maintain.
Production retrieval-augmented generation pipelines — embedding strategy, chunking, vector storage, hybrid retrieval, and a query interface your team will actually use. Built on your infrastructure, not ours. Shipped with evals.
Multi-step reasoning agents that orchestrate tools, call external APIs, and make decisions — not toy demos, but production workflows with guardrails, observability, and deterministic fallbacks baked in from day one.
End-to-end automation pipelines that replace manual processes with reliable, auditable AI workflows. From document processing and classification to report generation and customer-facing interfaces.
A regulated data platform, a desktop app for accountants, and a multi-tenant SaaS — each shipped end to end.
Conversational answers over a regulated data API — a three-stage pipeline that resolves, queries, and grounds so the model can never invent a number.
A private knowledge base for accountants — local indexing, local vector search, cited answers. The documents never leave the machine.
A multi-tenant RAG SaaS built and operated solo, from empty repo to paying users.
Start where you are. Scale when you're ready. Every engagement starts with clarity.
A structured week to understand your data, your use case, and what AI can actually do for your business. You get an honest assessment, an architecture recommendation, a feasibility verdict, and a scoped proposal — credited in full toward any build engagement within 30 days.
Book the Sprint →Full-stack AI engineering from data pipeline to production interface. Fixed price, fixed scope, no surprises. You own everything shipped — code, architecture, documentation, and a working system.
Discuss scope →Ongoing monitoring, retrieval quality improvement, model updates, and feature additions. Keep your system sharp as your data and requirements evolve. Pause or cancel anytime.
Learn more →We map your data sources, volumes, formats, and access patterns. No assumptions.
You receive a written architecture recommendation tailored to your stack and constraints.
Honest assessment: where AI adds value, where it doesn't, and what the risks are.
Fixed-price, fixed-scope proposal for the build — ready to sign or decline.
Book the $2,500 AI Readiness Sprint. Credited in full toward your build engagement within 30 days. No lock-in. Just clarity.
Book the $2,500 Sprint→Or email hello@ragstacks.com · Response <24h · NDAs welcomeThe Sprint tells you honestly. If the data isn't there, the use case doesn't justify the cost, or a simpler solution would serve you better — we'll say so in writing. That's the point of the week.
The founder — no handoffs to junior engineers, no agency markup, no project managers between you and the person writing the code. You're paying for direct access to someone who ships production AI systems.
After the Sprint: a written architecture recommendation, a feasibility verdict, a risk assessment, and a fixed-price scoped proposal for the build. NDAs are welcome before any call.