Second brain as a service for the new agentic era
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Most RAG solutions give you one layer. Arcido gives you all five working together — so instead of wiring five services, you just use Arcido. Less cost, less effort, better context for every skill.
CITATION GROUNDINGPARALLEL RETRIEVALHYDE REWRITINGHYBRID EMBEDDINGSSEMANTIC CHUNKINGHeading-aware splitter that respects section boundaries, code blocks, and tables. Each chunk carries metadata for citation tracking, so every output traces back to its source.
OpenAI embeddings + BM25 keyword index, fused at query time. Catches both semantic similarity and exact-match terminology in one pass.
Haiku rewrites every vague query into a richer hypothetical answer, decomposes complex asks into sub-queries, and runs them in parallel.
pgvector HNSW + BM25 fan-out across all selected sources, with reciprocal rank fusion and per-source quality floors.
Faithfulness check on every output. Sources are XML-wrapped, hallucinations are flagged before they reach you, and every claim links back to the chunk that proves it.
Arcido is the first AI workbench where every team works off one shared memory — so skills, context, and outputs flow together instead of drifting apart.
Arcido decomposes any goal into a group-aware, parallel DAG of skills — automatically, in seconds.
Every skill that can run in parallel does. What used to take a week finishes in minutes.
Outputs from upstream skills flow into downstream ones automatically. No copy-paste, no stale context.
Arcido brings together everything modern teams need to run AI workflows at scale — in one workbench.
Drop Arcido into your stack with first-class TypeScript, Python, and REST clients. Wire skills into your own product in minutes.
All frameworksArcido already speaks Slack, ClickUp, Notion, Gmail, GitHub, and a thousand more — with shared auth and a single permission model.
All integrationsDrop-in skills across Sales, Product, Engineering, Marketing, Ops, and CX — all reading from the same knowledge base.
Ship your first workflow
Scale with your team
Run at company scale
See Arcido in action. Plug in your stack, run a real workflow, and ship something you can use today.