AI-powered data platform for embedded analytics
BI.P.EYE connects to any datasource, transforms it with no-code pipelines, and turns it into interactive dashboards you can embed in your own product. An AI assistant sits on top of the prepared data, so answers are exact and arrive in seconds.
Trusted by product and data teams
AI Assistant for Your Data Live
Use the AI assistant to analyze your data. Embed it in your website or app so your customers can analyze their own data with AI. The assistant reads a prepared, pre-aggregated layer rather than raw tables, which is why the numbers it returns match your dashboards exactly.
Everything below is designed to cut analysis time
Connect, transform, visualize, and share. No code required. Built for speed and scale.
No-code pipelines
Create data pipelines with no code. Join, filter, and transform with clicks.
No-code charts
Build beautiful charts in minutes. Share or embed anywhere.
AI assistants
LiveAsk questions in plain language. Get queries and insights instantly.
Chat with your data
Natural language to SQL. Explain results. Iterate quickly.
Smart recommendations
BetaGet suggestions for better visualizations based on your dataset.
Embed dashboards
Add dashboards to your app or website with a secure token.
Brand customization
Match fonts, colors, and layout to your product.
Scheduled jobs
Automate refresh with monitoring and progress tracking.
Permissions and caching
API keys, permissions and caching for fast, secure access.
Business intelligence, all in one platform
Most teams stitch together four tools: one to extract data, one to model it, one to visualize it, and one to embed the result. BI.P.EYE covers that whole chain. Data lands from your sources, moves through no-code transformations, gets pre-aggregated, and is served to dashboards, an AI assistant, or an iframe in your own product. Every step runs on a schedule you control, with progress tracking and alerts when a job fails.
Built for everyone, SQL lovers included
No code required. Use AI to draft queries, then refine with your own SQL if you like. Manage datasets, secrets, and workflows.
- • AI-generated SQL from your schema
- • No-code transforms with optional SQL overrides
- • Define run dependencies across tasks
- • Set up refresh schedules and event triggers
SELECT country, SUM(revenue) AS total
FROM sales
WHERE date >= CURRENT_DATE - INTERVAL '30 days'
GROUP BY country
ORDER BY total DESC;
Embed dashboards in your app
Ship dashboards customers love. Secure by design with token based access, permission layers, and caching for performance.
- • Turn your website into a data-driven product
- • Embed interactive dashboards
- • Dataset-level permissions
- • Define default values
Embed API
Generate signed, row-level-secured dashboard links from your backend and drop the returned URL straight into an iframe. Full reference in the OpenAPI docs.
https://api.bipeye.com/v1
View OpenAPI reference
X-API-Key:
<your-org-api-key>
/embed/link
Generate a signed embed URL. Optional expiry, currency override, and per-dataset row-level filters.
/dashboards/datasets
List a dashboard's datasets and fields, so you know which jsonPath values you can filter on.
/embed/apiKey
Update an existing key's expiry or row-level filters. Only the fields you send are changed.
/embed/apiKey
Revoke a key. Any iframe using it loses access to the dashboard immediately.
curl -X POST https://api.bipeye.com/v1/embed/link \
-H "X-API-Key: <your-org-api-key>" \
-H "Content-Type: application/json" \
-d '{
"organizationId": "org-uuid",
"dashboardId": "dashboard-uuid",
"expiresInDays": 30,
"restrictDatasetsData": {
"c3dcb641-72fe-458b-9fe5-1594ba69aff4": {
"filters": [
{ "jsonPath": "$.accountId", "type": "is", "value": "ac_123" }
]
}
}
}'{
"url": "https://api.bipeye.com/v1/embed/...",
"expiresAt": "2026-07-31T00:00:00.000Z",
"apiKey": "b1e2c3d4-..."
}
<iframe src="{url}" width="100%" height="600" frameborder="0"></iframe>Custom API integrations
The API connector collects data from any HTTP API. Pagination, auth, retries and nested payloads are handled for you.
Start free. Scale when ready
Create an account and connect your first datasource without a credit card. Pricing is usage based, so a small project stays small on the bill. When your data volume grows, or you move dashboards into your own product, you move up a tier. If you need an isolated warehouse or a dedicated integration, email us and we will price it directly.
Our agents
Short demos of the agents at work, from chat, to SQL, to embedded analytics.
Chat with your data
Ask a question in plain language and get an answer, chart or table back in seconds.
Chat to SQL
Turn a natural-language question into SQL you can review, edit and run.
Embedded AI agent
Give your customers a self-serve AI agent to explore their own data, right inside your product.
BI.P.EYE Orders Analytics for Shopify
Go beyond revenue and see what really drives your store. BI.P.EYE connects sales, returns, discounts, shipping and net sales. You can then drill from store KPIs down to products, variants, sizes, colors, SKUs, customers and orders, right inside your Shopify Admin.
- • One trustworthy view of gross sales, discounts, returns and net sales
- • Drill from store KPIs to product, variant, size, color, SKU, customer and order
- • Return reasons and notes, so you learn why items come back
- • Compare discount codes and promotions side by side
- • Break every metric down by country, channel, collection and tag
- • Filter, sort and export any report to CSV or Excel
From the blog
Notes on building trustworthy analytics, written by the people who build the pipelines. We publish what we learn from real data problems: where numbers drift, why two dashboards disagree, and what to check first.
How to Build a Data Workflow Across Multiple Sources
Orders in one database, ad spend in another, tickets in a third. Collecting the data is the easy part. Making it agree is the work.
Read article →
Why Your Shopify Store Analytics Might Be Misleading
Draft orders, parallel returns, and app after app quietly rewriting your data. Here is how to get to one number you can actually believe.
Read article →Meet the founder
The vision behind BI.P.EYE, from the person building it.
Oron Bendavid
BI.P.EYE is my creation. It represents the next generation of business intelligence platforms. My aim is to change how businesses work with data, by cutting the number of tools involved and putting BI in reach of everyone in an organization.
Modern data workflows are complex. BI.P.EYE uses agents to simplify the whole process: collecting data from APIs and databases, writing SQL, analyzing database structures, improving ETL pipelines, building dashboards, and generating insights.
The goal is simple. Reduce the need for multiple data tools. Make data accessible to everyone in the organization, not just data engineers or analysts.
I would like to connect with more businesses, understand the problems they face, and help solve them. If that sounds like you, reach out.
Frequently asked questions
Which datasources does BI.P.EYE support?
BI.P.EYE connects to a wide range of sources, and we add more all the time:
- Databases and warehouses: Postgres, MySQL, SQL Server (MSSQL), BigQuery, Redshift
- eCommerce and SaaS: Shopify, Stripe, Deel, Bubble, Mixpanel, SkuSavvy, currencyapi.com
- Google: Analytics, Drive, Sheets
- Cloud: AWS
- Any REST or HTTP API: pagination, authentication, rate limits, dependent requests, failure recovery and nested JSON are handled for you
Don't see your source? We build dedicated integrations on request. Reach out at [email protected].
Can I embed dashboards in my product?
Yes, in two ways. For a quick setup, generate a dedicated API key in the dashboard and drop our iframe snippet into your product. For full control, use the Embed API to generate signed embed links from your backend.
Access is protected by several permission layers. You can scope per user and per end-user, by API key, by IP address, by allowed domain, and by dataset-level rules. Each API key can also carry per-dataset row-level filters, so every customer sees only their own rows.
How does AI help?
You can chat with your data, generate queries, get chart recommendations, and ask for explanations. Under the hood we run specialized agents. They collect data from APIs, write and fix SQL, analyze database structures, improve ETL pipelines, build dashboards and surface insights. We keep adding more, so the AI helps across the whole workflow, not just at the chat box.
Why not just send my data to an LLM and get answers?
It comes down to money, performance and security. You cannot hand a language model millions of rows for every question. It is slow, and the bill climbs with each query. Shipping raw data to a third-party model is also a security and privacy risk. Models tend to make mistakes when they compute over raw data on the fly.
BI.P.EYE does the hard work before you ask. Your data is collected, validated, structured and pre-aggregated by a real BI engine. The AI then sits on top of that clean layer. You get exact numbers, answers in seconds, and a fraction of the cost, without exposing raw data to the model.
What about security?
We take the security of your data seriously. All data is encrypted in transit and at rest. Our infrastructure runs on trusted providers: AWS, MongoDB and Cloudflare.
Our application security practices have been validated with the ESOF AppSec ADA CASA certification. That covers secure development and ongoing risk management. We monitor, update and improve our systems continuously.
Can you build a full BI project for us?
Yes. Beyond the self-serve platform, our team can design and build a complete BI project for you: data modeling, pipelines, dashboards and embedded analytics. Reach out at [email protected] to scope it.
Where does my transformed data land?
You choose the destination. ETL results can be written to a dedicated warehouse or to other destinations, so your clean, transformed data lives where the rest of your stack can use it.
How granular are permissions?
Very. You can scope access per user and per end-user. You can lock embedded access down by API key, IP address and allowed domain, on top of dataset-level rules. Every consumer only sees what they should.
Can you add an integration that isn't listed?
Yes. Our API connector already covers most HTTP APIs. If you need a dedicated integration built, talk to us at [email protected] and we will add it.
Can my data run in an isolated warehouse?
Yes. You can run on an isolated warehouse for faster queries and stronger data isolation, keeping your workloads and data separate from everything else.
How fast is support?
Fast. Typical response time is a few hours at most. You can reach us at [email protected] any time.
Do you take feature requests?
Always. We build quickly and we like feedback. Tell us what you need at [email protected]. It shapes the roadmap.
Still have a question? Email [email protected] and we will get back to you within a few hours.
Contact
Questions about the platform, embedded analytics, or a custom BI project? Email [email protected]. We reply within a few hours on business days. You can also reach the team on LinkedIn.