Built by engineers from
Built once. Works for everything.
Pipes compute and write results into your datasource as ordinary tables. Everything downstream just reads.
Ask follow-ups in plain language
Headless, scheduled, embedded
Automated, scheduled
One view per role, same tables
governed write-back — deliberately deferred
Prebuilt intelligence packs
Forecasts, rankers, and detectors you switch on — packaged once, ready for every use case.
Demand Forecast
Density-routed weekly forecasts with walk-forward accuracy published alongside.
Churn Ranker
Who's drifting away, ranked by expected value of intervening — with the reason attached.
Anomaly Detector
Watches every metric that matters and writes the exceptions, not the noise.
Forecast Eval
The proof table: WAPE, bias, and coverage for every forecast the platform ships.
Your Use Case
Bring your own problem — we package it as a pack. Same contract as every other pack on the board.
Next-Best-Action
Recommends today. Executes when the governed write-back layer lands.
Ship analytics inside your product
Embed dashboards, AI querying, and custom reports in your SaaS app with our SDK. White-label ready. Your customers' PII stays protected automatically.
import { VibeDashboard } from '@4See.ai/sdk'
<VibeDashboard
token={userToken}
theme="dark"
dashboard="revenue-overview"
piiMasking={true}
onInsight={(data) => {
console.log('AI insight:', data)
}}
/>Connect Your Data Sources
Works with the databases, warehouses, and platforms you already use
Deploy your way
Cloud VMs or on-prem bundles — deployed per customer, fitting your infrastructure and compliance requirements.
Hosted (Cloud)
Managed SaaS with instant setup, auto-scaling, and SOC 2 compliance. Start in minutes, not months.
- Instant provisioning
- Auto-scaling infrastructure
- SOC 2 compliant
- 99.9% uptime SLA
Enterprise (On-Prem)
Self-hosted for complete data sovereignty. Air-gapped deployment for the most regulated environments.
- Full data sovereignty
- Air-gapped deployment
- Custom SLAs
- PII stays on your infrastructure
Add-ons
Extra credits for Starter, Pro, and Team. Packs expire after 90 days.
Purpose-built for your domain
Industry-specific intelligence — because the data problem is universal, but every domain needs its own answers.
Fraud Detection
Uncover hidden fraud patterns across transactions using entity relationship intelligence
Risk Analytics
Real-time risk exposure analysis across portfolios — no more week-old reports
Regulatory Reporting
Automated compliance insights with full audit trails and data sovereignty
Customer 360
Unify customer data across every touchpoint — without manual SQL joins
Trusted by data teams
"4See.ai's knowledge graph analytics helped us detect fraud patterns we couldn't see with traditional BI tools. 40% reduction in false positives."
"We moved from weeks-long report cycles to real-time insights. The multi-agent AI understands complex queries our team struggled to write in SQL."
"Embedded 4See.ai dashboards in our SaaS product in under a week. Our customers love the AI-powered querying."
"4See.ai's knowledge graph analytics helped us detect fraud patterns we couldn't see with traditional BI tools. 40% reduction in false positives."
"We moved from weeks-long report cycles to real-time insights. The multi-agent AI understands complex queries our team struggled to write in SQL."
"Embedded 4See.ai dashboards in our SaaS product in under a week. Our customers love the AI-powered querying."
"The columnar engine handles our 2B+ row datasets without breaking a sweat. Queries that took minutes now complete in milliseconds."
"Automatic PII masking gave our compliance team confidence. We run local LLMs for sensitive datasets — zero data leaves our infrastructure."
"Self-serve analytics finally works. Our business users ask questions in English and get accurate answers without involving the data team."
"The columnar engine handles our 2B+ row datasets without breaking a sweat. Queries that took minutes now complete in milliseconds."
"Automatic PII masking gave our compliance team confidence. We run local LLMs for sensitive datasets — zero data leaves our infrastructure."
"Self-serve analytics finally works. Our business users ask questions in English and get accurate answers without involving the data team."