Live dashboards on all your data, in days, not months.
Knowi queries your SQL, NoSQL, REST APIs and documents where they live and joins them at query time. No warehouse or pipeline to build. Give your team answers in plain English and ship white-label analytics inside your product without burning your roadmap.
30 minutes with a solutions engineer, not a sales rep. No commitment.
Trusted by teams at
- Verizon
- Lockheed Martin
- AMD
- Autodesk
- Telstra
- Everbridge
- ConvergeOne
- Securitas
Rated 4.9 on G2
Your data is ready to answer questions. Your stack is not.
These are the four problems we hear most from SaaS and tech teams before they switch.
"Does it have reporting?" stalls deals
Customers want dashboards inside your product. Engineering burns roadmap time building them. Charting libraries and legacy embedded BI handle the visuals but leave querying, security and multi-tenancy to you.
Leadership runs on stale numbers
Data sits across Mongo, Elasticsearch, SQL and SaaS APIs. Someone exports CSVs and merges spreadsheets. The warehouse and ETL project meant to fix it stalls or gets too expensive.
One data person, every question
Every request queues behind the same analyst or engineer. Self-service BI was supposed to fix this, but it never reached the non-technical people who need answers.
"Chat with our data" gave wrong answers
An LLM guessing against raw tables returns confident mistakes. Months go into the pilot, and the team stops trusting the numbers.
Every one of these traces back to the same gap: tools that only work once your data has been moved, modeled and secured by hand. Knowi closes that gap.
Query in place. Govern once. Serve everywhere.
Most BI starts with "first, move your data into a warehouse." Knowi starts with the sources you already have, including the awkward ones.
Your sources, where they live
Knowi
Join at query time, govern in one semantic layerGoverned datasets, row-level security and private AI agents that work inside the rules you set.
Answers for everyone
No warehouse or pipeline to build
Knowi queries SQL, NoSQL, REST APIs and documents natively, then joins across them at query time. One dashboard, every source, live.
- Native MongoDB, Elasticsearch and Cassandra
- REST APIs and SaaS tools as first-class sources
- Live dashboards in days, not months
AI that answers from governed data
A semantic layer defines your metrics once. Knowi's AI agents run inside that governed layer, so plain-English questions return answers your team can trust.
- Governed datasets, not raw-table guessing
- Private AI: Knowi's own, not a third-party LLM
- Easy for non-technical users
Embed in a day, not a quarter
Put white-label dashboards in front of your customers with security and tenancy handled for you, so engineering gets the roadmap back.
- Multi-tenant by design, row-level security
- SSO via SAML, OAuth or JWT
- JS SDK or iframe embed, API-first provisioning
Why teams switch from the usual options
Charting libraries
Great visuals. You still build and maintain the querying, tenant security, row-level permissions and every new source.
Legacy embedded BI
Solves visualization, but querying, security and multi-tenancy are still largely left to your team.
Knowi
Native connectivity, query-time joins, governance, multi-tenancy and embedding in one platform. Deploy in managed cloud, VPC, on-prem or air-gapped.
See your own data stack working in Knowi
Not a slide deck. A live session with a solutions engineer, built around the sources and use case you bring. Here is what you get:
- A demo tailored to your stack. Your data sources and your use case, led by a solutions engineer, not a sales rep.
- Live native connectivity. MongoDB, Elasticsearch and REST APIs connected and queried on the call.
- AI agents at work. Plain-English questions turned into answers and dashboards.
- The embedding playbook. How teams ship white-label analytics in their own product, with multi-tenancy and row-level security.
- Pricing and deployment options. Cloud or on-prem, mapped to your sources, users and setup.
"Bring the sources you actually have, including the awkward ones. We connect one and answer a real question in the first session."From knowi.com
Teams that turned analytics into part of the product
From POS platforms to telecom monitoring to manufacturing, here is what changed after Knowi.
Volanté Systems · POS for institutional foodservice
"Knowi fundamentally changed how we deliver analytics. We went from being a POS company that offered reporting, to a platform that gives operators real-time, intelligent visibility into their business. It's no longer just a feature; it's a core part of our product identity."
Volanté Systems, on Volanté Insights, embedded with Knowi
intlx Solutions · Telecom monitoring
Dashboard loads went from 10-30 minutes to near-instant.
Knowi powers intlx360 and let intlx consolidate multiple expensive standalone monitoring tools.
"We're building things with Knowi no one else in the industry is doing."
intlx Solutions
Watch the intlx storyMacroFab · Electronics manufacturing
Chosen after a nine-way BI trial against Power BI, Domo and Sisense.
"My team tested various data visualization tools like PowerBI, Domo, Sisense and Knowi emerged as the top choice for its speed in creating useful dashboards and ease of use for non-technical users. Knowi's architecture models data thoughtfully, which I'd credit for enabling a collection of elegant features."
Phil Bryant, VP Business Intelligence, MacroFab
One PM replaced 16+ logins and manual Google Sheets with a single automated dashboard. "Knowi became my data engineering org without having a data engineering org."
Unified FileMaker, QuickBooks and CRM data instead of a $50,000 custom reporting build.
140+ dashboards and 60+ automated alerts, saving 4+ hours every week.
Source: knowi.com/customer-stories
- SOC 2 Type IIAudited controls
- HIPAAHealthcare ready
- GDPRPrivacy compliant
- 70+Native connectors
- Deploy anywhereCloud, VPC, on-prem, air-gapped
- 4.9 on G2Customer rating
What teams ask before the demo
We already use Power BI or Tableau. Why look at Knowi?
This is not a rip-and-replace pitch. Keep what runs. Knowi reads sources where they live and covers the cases warehouse-first BI handles badly: NoSQL data, REST APIs and analytics embedded in your own product.
Could we just build this in-house?
You could. Charting libraries solve visualization, but you still own the querying, tenant security, row-level permissions and every new data source. A typical in-house build takes 6-12 months. Knowi ships in weeks, and your engineers stay on your core product.
Our data is messy and spread across systems. Are we ready?
That is the reason to talk, not a reason to wait. Knowi connects natively to your sources and joins them at query time, so there is no warehouse project to finish first.
What about security and compliance?
Knowi is SOC 2 Type II, HIPAA and GDPR compliant. Deploy in managed cloud, your VPC, on-prem or fully air-gapped. Knowi uses private AI, so no third-party LLM sees your data.
What does it cost?
Pricing depends on your data sources, users and deployment. The team walks through options for your stack on the demo.
What happens on the demo?
A solutions engineer tailors a 30-minute session to your sources and use case. You see live connectivity, AI agents answering questions, embedding options and pricing for your setup. No commitment required.
Bring your messiest data source. Leave with a real answer.
- Every source joined in one live dashboard, with no warehouse or pipeline to build
- White-label, multi-tenant analytics in your product, embedded in a day, not a quarter
- Governed, private AI your non-technical team can actually use
30 minutes with a solutions engineer. Tailored to your stack. No commitment.