KNO
Free Slack-native AI assistant that answers team questions from 800GB of web knowledge and your own sources.
Install KNO if your team lives in Slack and loses time context-switching to a search tab for technical facts — the install is three steps and the vendor states the tool is free, so the downside is a Slack app you can remove. It fits best as a lightweight layer in front of knowledge you already have, with the segue-to-a-human path covering the questions it answers inconclusively. It is not a knowledge management system: it has no verification or approval workflow, so if curated, versioned answers matter, look at Guru or Stack Overflow for Teams instead. Custom source training is on the vendor's own roadmap page as in-progress, so treat today's KNO as web-knowledge Q&A, not as a trained
Verified 10d ago · liveness 59/100 · cite: rightaichoice.com/tools/kno
- Support teams working entirely inside Slack
- Sales and solutions engineers needing fast product facts
- SaaS teams that want an answer bot without a formal knowledge base
- Slack workspaces whose admins allow app installs
- Teams that need approval or verification workflows on published answers
- Users expecting long-form reasoning or code generation
- Organizations that cannot install Slack apps
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Skip KNO if you need curated, versioned answers with approval workflows or source citations — it is a fast Slack Q&A layer that hands ambiguous questions to a person, not a knowledge base with governance.
The vendor's own FAQ says KNO is free to use, which puts it below paid knowledge platforms such as Guru or Stack Overflow for Teams on entry cost. Budget instead for the switching cost: if you later want the Alltius platform capabilities — Support Agent Assist, In-Product Assist, Teams, WhatsApp, widget and API channels — the site routes you to a sales conversation, so plan for a procurement cycle beyond the free Slack app.
In short
KNO — Free Slack-native AI assistant that answers team questions from 800GB of web knowledge and your own sources. Best for Support teams working entirely inside Slack, Sales and solutions engineers needing fast product facts, SaaS teams that want an answer bot without a formal knowledge base. Free to use.
What people actually say about KNO — is it worth it?
We scanned public community sources for KNO on Oct 2, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Only 1 of the posts we fetched could be positively tied to KNO. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
Viability Score
How well maintained and how widely used is KNO? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Slack-native Q&A in DMs and channels
- Default knowledge from OpenAI GPT-3 covering 800GB of web data
- Priority given to custom prescribed knowledge sources (vendor lists this as in development)
- Private conversations with the assistant
- Channel and shared-channel participation
- Segue to a human colleague when a conversation does not end conclusively
- Identity-free querying — questions are not tied to your identity
- No-code install via three Slack steps
- Install from the Slack app marketplace
- Multilingual answers via knowledge ingested in other languages
- Usage analytics and NPS tracking reported by the vendor
- Additional channels marketed at platform level: Microsoft Teams, WhatsApp, web widget
- API integrations marketed at platform level
About KNO
KNO is a Slack-native AI assistant that answers questions in the channel where your team already works. By default it runs on OpenAI's GPT-3 model covering roughly 800GB of publicly available web data, and it can prioritise answers from specific sources such as your own help resources. You install it in three steps — log into your Slack workspace, open the Browse Apps screen, search for KNO and start asking — then use it in a private DM or add it to a channel, including shared channels. KNO is built for support and sales teams who want a fast factual answer without leaving chat, and for in-product assist it hands off to a named colleague when a conversation does not end conclusively. Queries are identity-free: what you ask stays inside the algorithm and is not associated with your identity. Alltius reports a 9.4 NPS from users who tried KNO on messengers, 50% month-on-month user growth, and 86%+ of returning users asking at least one query per month. It is deliberately narrow — quick factual Q&A rather than long-form reasoning or code generation — and custom prescribed sources are something the vendor says it is still working on.
Behind the Verdict
KNO's real design decision is where it lives. Rather than a separate tab, it sits in Slack as an app you DM privately or add to channels, including shared channels. For a support or sales rep mid-conversation, that removes the tab switch that usually kills the habit of looking something up. What powers it is stated plainly on the product page: KNO is by default trained on OpenAI's GPT-3 model, which Alltius describes as covering 800GB of information, with general technical questions and AI/ML topics called out as its stronger areas. On top of that, KNO can prioritise knowledge from specific sources, such as your own help resources. Read that carefully before you plan around it — the same page's FAQ says training on specific topics is a feature the team is "working on" and invites you to email them to discuss. The vendor's broader product line (Support Agent Assist, In-Product Assist, Sales Rep Assist, Website Assist, plus Teams, WhatsApp and widget channels) is positioned as the paid platform, so treat the richer controls as an enterprise conversation rather than something you configure from the free Slack app. The privacy model is the second thing to understand. Questions stay walled inside the algorithm and are not tied to your identity, which is what makes it palatable in a shared channel. It also means KNO has no per-person memory of you — you are asking a knowledge engine, not building a profile. The honest weakness is the tail. KNO answers quick factual questions well and then hands you to a person; there is no verification workflow, no approval step, no source citation discipline described on the page. If your team needs answers that are auditable, Guru and Stack Overflow for Teams are the named alternatives worth pricing against. KNO is a fast front door, not a system of record.
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Real-world workflow fit
Concrete scenarios for the personas KNO actually fits — and what changes day-one when you adopt it.
Add KNO to the shared support channel on day one and let agents ask it troubleshooting questions in-thread instead of opening a new tab, with inconclusive threads escalated to a named engineer.
Outcome: Repetitive questions get answered in-channel and the handoff path keeps ambiguous cases with a human owner.
DM KNO privately during a live call to confirm a technical detail, using identity-free querying so the question is not tied to their Slack profile.
Outcome: Answer arrives mid-call without the customer seeing a search tab or a stalled demo.
Ask KNO basic product and AI/ML questions in a private DM rather than posting in a busy channel.
Outcome: Ramp-up questions get answered immediately without clogging team channels.
Use Cases
- Look up a product feature or troubleshooting step in Slack without leaving the conversation
- Give sales reps instant product and technical facts during a customer call
- Answer repetitive questions in a public Slack support channel
- Route inconclusive questions to the right colleague instead of guessing
- Answer multilingual questions using help content you have already translated
- Give new hires a place to ask basic technical questions anonymously
Models Under the Hood
as of 2026-10-08
Limitations
- KNO is a quick-answer assistant positioned for general questions rather than deep reasoning or writing support.
- On the vendor's own page, prioritising custom prescribed sources (such as your own help resources) is described with an invitation to talk to a use case owner, so treat full trainability on internal knowledge as not yet confirmed.
- The page states it is trained by default on OpenAI's GPT3 model covering 800GB of information but does not specify model version, context limits or update frequency, so accuracy expectations should be set by your own pilot.
as of 2026-09-28
Verification history
We have re-verified KNO 7 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 7 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published KNO tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
Slack teams and individual support or sales users who want instant answers from web knowledge without a budget line.
What this tier adds
Starting tier: Slack-native Q&A on the default GPT-3 web knowledge base at $0/mo, with identity-free querying.
Where the pricing makes sense
The company stage and team size where KNO's pricing actually pencils out — and where peers do it cheaper.
The vendor's own FAQ says KNO is free to use, which puts it below paid knowledge platforms such as Guru or Stack Overflow for Teams on entry cost. Budget instead for the switching cost: if you later want the Alltius platform capabilities — Support Agent Assist, In-Product Assist, Teams, WhatsApp, widget and API channels — the site routes you to a sales conversation, so plan for a procurement cycle beyond the free Slack app.
Setup time & first value
How long it actually takes to get something useful out of KNO — broken out by persona, not the marketing-page minute.
For a Slack user whose workspace allows app installs: three steps — log into Slack, open Browse Apps, search for KNO and select it — so first value is typically minutes, not a project. For an admin enabling installs and deciding channel policy, allow a short planning conversation about which channels KNO joins and who receives handoffs.
Switching to or from KNO
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From manual Slack searching: install KNO and start asking in a DM, then move it into the channels where questions repeat most.
- →From a shared 'questions' Slack channel: let KNO take first-pass answers and keep the channel for inconclusive threads it segues to a person.
- →From translated help docs: point KNO at sources in other languages if your Alltius engagement includes prescribed knowledge sources.
- ↗To Guru: move curated, verified answers into cards with approval workflows when auditability becomes a requirement.
- ↗To Stack Overflow for Teams: consolidate durable community answers into tagged questions when you need long-lived searchable knowledge.
- ↗To the wider Alltius platform: extend the same assistant to Teams, WhatsApp, widget and API channels through a sales conversation.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “KNO”, and we withheld 6: 6 could not be judged, because “KNO” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about KNO.
Official links
Tools that pair well with KNO
Common stack mates teams adopt alongside KNO, with the specific reason each pairing earns its keep.
Aurora AI
Aurora AI is an AI team workspace that grounds its answers in your own company knowledge and cites sources on every response.
Surfsite AI
No-code AI assistants that read your connected tools and files to answer questions in one unified context.
Autopilot for Slack
Dashworks answers your team's workplace questions in Slack by searching every connected app live, with citations and no data indexing.
Featured Head-to-Head Comparisons
Kno vs B Rokratt
For Estonian residents needing frictionless access to government services, Bürokratt is a unique, free, and secure tool. For global teams wanting a Slack-integrated knowledge assistant to reduce support tickets, KNO is the clear choice. There is no overlap in audience, so your decision hinges entirely on geography and platform.
Kno vs Chatlyn
For hospitality businesses needing a unified guest communication hub with PMS integration, Chatlyn is the clear choice. For Slack-centric teams seeking a quick AI Q&A assistant, KNO is lightweight and easy to deploy. Choose based on industry and platform needs.
Kno vs Hi Marley
Hi Marley is the right choice for P&C insurers needing a purpose-built SMS claims platform to reduce phone tag and cycle times, with deep insurance integrations. KNO is better for general Slack-centric teams wanting an AI assistant to answer questions from knowledge bases. If you're in insurance, choose Hi Marley; otherwise, KNO.
Alternatives to KNO
View all
Aurora AI
Aurora AI is an AI team workspace that grounds its answers in your own company knowledge and cites sources on every response.
Surfsite AI
No-code AI assistants that read your connected tools and files to answer questions in one unified context.
Autopilot for Slack
Dashworks answers your team's workplace questions in Slack by searching every connected app live, with citations and no data indexing.
Frequently Asked Questions
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