Turn Raw IoT Data Into Real-Time Intelligence
Connect directly to InfluxDB, MongoDB, TimescaleDB, Cassandra, and REST APIs. Join sensor streams with SQL and operational data in one query, with no ETL or data movement. Build live dashboards, trigger alerts when metrics drift, and automate delivery to Slack or email so teams can act fast.
TRUSTED BY TEAMS IN FINTECH, HEALTHCARE, MEDIA AND SAAS
How It Works
From IoT data to decisions in three steps
Skip ETL projects. Connect live data, unify sources, and deliver answers, dashboards, and proactive alerts in days.
Connect natively
Plug directly into InfluxDB, MongoDB, TimescaleDB, Cassandra, Elasticsearch, REST APIs, and dozens more. No drivers to install, no data to move. Knowi queries your IoT data where it lives.
Blend any data source
Join sensor streams with SQL data and APIs in a single query, with governed access and reusable query templates.
Visualize, automate, and embed
Build real-time dashboards and NLQ experiences, then push proactive alerts to Slack, Teams, or email. Embed via UI, go headless via API, or integrate into existing workflows under your brand.
Capabilities
Built for the complexity of IoT data
IoT data is high-volume, high-velocity, and split across systems. Knowi turns live telemetry into dashboards, alerts, and automated workflows teams can act on.
Agentic workflows (ask, automate, alert)
Turn device data into action. Ask questions in plain English, build dashboards, schedule reports, and send alerts to Slack, Teams, email, or webhooks when something changes.
Real-time data streaming
Query and visualize live sensor data with refresh intervals down to seconds for fleet-wide operational monitoring.
Anomaly detection and alerts
Automatically detect outliers in device telemetry and trigger alerts via email, Slack, or webhook. Catch equipment failures and safety hazards before they escalate.
Agentic natural language querying
Operations teams ask questions in plain English- show me devices with temperature above 90 in the last hour, and get instant visualizations. No SQL required.
Cross-source data joins
Combine time-series sensor data with customer records, maintenance logs, or ERP data in a single query. Join across NoSQL and SQL boundaries without moving data to a warehouse first.
Embedded analytics / white-label
Embed dashboards and Agentic analytics inside your IoT product, go headless via API, or push alerts into Slack or Teams. White-label and multi-tenant security ar built in.
The Data Agent for Your Stack
One Prompt. Full Analytics Workflow
Knowi's agents don't sit on top of your data. They live inside the query engine, schemas, and field types. One prompt handles the entire workflow: query, analyze, visualize, and alert.
Agents inside the data layer
Not CRUD wrappers calling your API ten times. Knowi agents understand schemas, data types, and relationships. They query directly and get it right the first time.
Private AI - No Data Leakage
Knowi runs its own AI. Not bolted on. Your data stays in your infrastructure. No third-party LLM sees your customer or patient data.
Ask questions in plain English
Users type questions against your live data. Agents query, compute, and return charts and summaries — no SQL, no dashboards to build, no training required.
Embedded agents in your product
Ship AI-powered analytics inside your SaaS platform or customer portal. Your end users get natural language data access under your brand, with row-level security enforced automatically.
Proactive alerts and anomaly detection
Agents monitor your data continuously and alert you in Slack or email when something changes. No manual threshold-setting. Anomalies are detected automatically.
MCP Enabled — works with Claude and more
Connect Knowi to Claude, Cursor, or any MCP-compatible tool. Query your data, build dashboards, and trigger workflows directly from your AI assistant.
Dashboard Examples
See how teams use Knowi for IoT
Monitor operations, reduce downtime, and make faster decisions with real-time IoT dashboards.
IoT Analytics Dashboard
Give operators a single pane of glass to monitor device capacity, throughput, and health in real time. Built-in anomaly detection flags irregular patterns — temperature spikes, traffic surges — so your team acts before issues become incidents.
See the dashboard
Fleet Management Dashboard
Track vehicle status, fuel consumption, and maintenance schedules across your fleet. Combine GPS telemetry with maintenance records to predict when servicing is needed — reducing unplanned downtime and extending asset life.
See the dashboard
Smart Cities Dashboard
Combine data from traffic sensors, cameras, and bike-share systems into one view. Optimize signal timing, identify high-risk intersections, and measure the impact of infrastructure changes — all in real time.
See the dashboardWhy Knowi
What other IoT analytics tools can’t do
Most analytics platforms force IoT teams into a warehouse-first build. Knowi connects directly to your IoT infrastructure and turns device data into dashboards, proactive alerts, and automated delivery, with cross-source joins and governance built in.
Go live in weeks, not quarters
Eliminate months of ETL and pipeline work. Connect live sources and ship dashboards and alerts in weeks. Your team stays focused on the product, not data plumbing.
Other tools require a warehouse. Knowi doesn’t.
Any data source. No warehouse required.
Connect directly to time-series, NoSQL, SQL, REST APIs, and files. Join across sources at query time with no ETL pipeline, no staging layer, and no waiting for batch loads.
Your IoT data doesn’t all live in Snowflake. Your analytics tool shouldn’t require it to.
Agentic monitoring and alerts
Operations and field teams ask questions in plain English, get instant charts, and set up monitoring so the right people get notified when devices drift out of range.
Your operations team shouldn’t need SQL to understand their own data.
Monetize with embedded analytics and agents
Embed white-labeled dashboards and NLQ in your product, go headless via API, connect AI tools via MCP, or push insights into Slack or Teams. Package analytics as a paid tier with per-customer isolation.
Stop giving away insights. Start charging for them.
See how teams monitor IoT operations with Knowi
Real companies using Knowi to unify IoT data and act on it in real time
How intlx Solutions powers intlx360 with Knowi
Replaced fragmented monitoring tools and slow dashboards with a unified operational intelligence platform. intlx360 connects alarms, incidents, assets, and analytics across telecom operations in a single view.
Verizon ThingSpace Intelligence
Knowi powers the embedded analytics layer inside Verizon's ThingSpace IoT platform, delivering real-time device monitoring, usage analytics, and anomaly detection across one of the world's largest connected device ecosystems.
Data Connectivity
Connect to everything. Join across anything.
Most IoT analytics tools require a warehouse. Knowi connects directly to your operational databases, APIs, and time-series stores.
Cross-source joins, no ETL required
Combine data from any of the above on the fly. A single dashboard widget can pull from InfluxDB and PostgreSQL in the same query. No warehouse. No staging tables. No waiting for a data pipeline.
Frequently Asked Questions about IoT Analytics
IoT data is distributed and disparate in nature. This means that to enable real-time IoT data streaming and analytics, you must have an efficient method of data ingestion or integration. The ingestion step usually involves automated data collection across different data sources, aggregating everything into a data warehouse or data lake. Depending on the nature of the data collected, the design of the ingestion process and storage will vary widely.
In data transformation, you merge or join the collected data as needed and run any additional operations to get it into the optimal format.
Gartner has predicted that by early in the 2020s, that more than half of major new business entities will incorporate some elements of IoT in their systems. The complexity of the vast volumes of data generated through these IoT systems creates a need for deep data analytics tools and skillsets. However, IoT data tends to be far messier than common business data, incorporating large streaming volumes of data that are often geospatial in nature. With such complex data, gleaning any insights or understanding from it will require an IoT specific analytics solution.
IoT analytics can be used to simplify that enormous volume of data into actionable insights and understandable dashboards.
See IoT analytics with your own data
Connect your IoT data source or send us a sample dataset. We'll build a working dashboard in your first call.