Company knowledge. Ready to use.
For teams working across documents, tools, and business data. We build search and AI workflows with source citations, evaluation, and a working interface — from your data to production.
30 minutes to discuss your use case, data, and next steps. Founder-led. NDAs welcome.
Built: RAGStem for accounting and tax professionalsLocal document indexing and search, with cited answers. Read how it works →A regulated data platform, a desktop app for accountants, and a multi-tenant SaaS — each shipped end to end.
A private knowledge base for accountants: documents are indexed and searched locally; only the question and selected passages go to the answer model. Answers include citations.
A multi-tenant RAG SaaS built and operated solo, from empty repo to paying users.
Conversational answers over a regulated data API — a three-stage pipeline that resolves, queries, and grounds with answers grounded in retrieved records.
No 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.
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 deploymentStart where you are. Scale when you're ready. Every engagement starts with clarity.
In 30 minutes, we’ll discuss your use case, your data, and what a sensible next step could look like. The $2,500 Sprint is a separate, scoped engagement — not a prerequisite for this conversation.
Book a discovery callOr 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.