Your company's knowledge,
finally alive.
In most companies, knowledge lives in a few people's heads, scattered across Slack, Drive and Notion. Ragnight deploys a network of agents that capture that knowledge, fill the gaps, verify its consistency and spread it: automatically, on your base.
Knowledge that's concentrated, dependent, perishable
In people's heads
Critical knowledge rests on 2-3 experts. If they leave or are away, the team is stuck.
Scattered
Spread across tools and chats, never captured. We re-ask, redo, forget.
Perishable
Decisions contradict each other, documents age, and nobody notices.
Four roles, one network
Each agent has a precise job. Together they form a continuous chain: from captured knowledge to the answer delivered — and back.
Capture
Turn the ephemeral into documented knowledge.
Tribal Knowledge Miner
Mines chats for decisions, how-tos and unwritten facts.
Meeting → knowledge
Turns transcribed meetings into structured minutes.
Departure Interviewer
Before someone leaves, captures what only they know.
FAQ from chat
Spots recurring questions and turns them into FAQ entries.
Competitive Intelligence
Produces market & competitor reports on a schedule.
Fill
Measure the gaps and fill them intelligently.
Gap Filler
The pilot. Per gap: complete an existing doc, fill a template, or propose one — never inventing.
Answers Scorecard
Tests the base against your key questions and scores whether it can answer.
Verify
Keep the base consistent and fresh.
Contradiction Scout
Flags when two sources contradict — on analysis, and at the moment of a decision.
Freshness Curator
Spots long-untouched documents to confirm or archive.
Steer & spread
Put knowledge to work for the whole company.
Knowledge Director
The meta-agent: each month it reads the fleet's activity and computes the P&L of your knowledge.
The chat (assistant)
Spreads knowledge to everyone — and every unanswered question feeds the Gap Filler.
Not isolated bots — a self-improving organism
The agents don't work in silos. They hand off to one another: one's output becomes the next one's input.
Why this network exists nowhere else
Knowledge-first, not just “answer”
Most tools draw on your knowledge to answer. Ragnight works the knowledge upstream: it captures, structures, completes and measures it. The answer is just the tip.
A network that feeds itself
The agents are connected: one's output triggers the next. A self-learning loop — each conversation reveals a gap, each gap becomes a task, each task enriches the base.
Humans stay in control
Nothing is published silently. Every agent proposal lands in the Review Center — approve, fix, dismiss. Trust before automation.
It reuses before creating
Rather than piling up duplicates, it completes the existing document, proposes a template to fill, and detects drift — via semantic similarity and embeddings.
Consistency guardian at the source
The instant a meeting decides something, the agent checks it doesn't contradict established knowledge. Drift is caught on day one, not three months later.
Your company's memory,
for your AI assistants.
Knowledge that no longer depends on a few people, no longer scatters, and updates itself.
