Help every team understand more and decide better
Organizations are drowning in documents and starving for answers. AskOpenly turns your private knowledge into a trustworthy intelligence layer — one that reasons across every modality, cites its sources, respects who is allowed to see what, and runs where your data lives.
Private by default
Your knowledge is your advantage. AskOpenly runs on open models in your own environment — your data never leaves your walls and never trains anyone else's model.
Grounded, not guessing
Every answer carries citations, provenance, and a live agent trace. If the knowledge isn't there, the system says so instead of inventing — and a critic agent checks each citation.
Governed end to end
Source permissions mirrored into retrieval, document-level ACLs, PII redaction, and full audit trails — so AI over sensitive documents is something you can actually deploy.
Enterprise-ready by design
A deployable, multi-tenant, multi-replica product — run it in your own VPC, isolate every tenant at the database with row-level security, and scale horizontally with zero-downtime deploys.
A complete, governed RAG stack — not a chatbot wrapper
AskOpenly is a full platform, in production and enterprise-grade end to end.
Router, planner, retrieval, critic, synthesis and governance agents cooperate in a transparent, watchable workflow.
Dense + keyword signals fused with RRF, reranked and compressed, with query rewriting and optional knowledge-graph traversal.
PDFs, Office docs, spreadsheets, images, audio, video, web pages and code repositories — one governed pipeline.
Source ACLs are carried into retrieval so answers respect who can see what — managed connectors (Google Drive, SharePoint, Confluence, Notion, Slack, Jira) rolling out.
Grounded, cited answers where your teams already work — inside Slack and Microsoft Teams.
Turn answers into action: scheduled digests, notifications and multi-step workflows triggered on events.
Guided/constrained decoding for structured outputs, plus a built-in evaluation harness and an answer-feedback loop.
Open-model routing across models you control (Ollama / vLLM), self-hosted or in your VPC — no per-seat lock-in.
Why we built AskOpenly
The first wave of enterprise AI asked companies to ship their most sensitive documents to someone else's model and trust an answer with no sources. That's a non-starter for the teams who need it most — in finance, healthcare, legal, and engineering, a confident but wrong answer is worse than no answer at all.
We built AskOpenly on a simple conviction: the best knowledge assistant is one you fully control. It runs on open models you can host yourself, retrieves across dense and keyword signals, and puts a team of specialized agents — planning, retrieval, synthesis, and a critic that checks every citation — between the question and the answer. It is built to connect to the tools your teams already use, answers from Slack and Teams, and turns those answers into automated workflows.
And we built it to be run for real, not demoed. AskOpenly is a deployable, multi-tenant, multi-replica product: it lives in your own cloud, isolates every tenant at the database with row-level security, and scales horizontally behind your load balancer with zero-downtime deploys — the difference between an impressive prototype and software an enterprise can actually put into production.
The name says it plainly. Ask openly, and get an answer you can see straight through — grounded, cited, and governed.