Trusted by founders and growing teams

AI Dashboards & Intelligent Analytics Interfaces

We build dashboards with AI-supported analysis and near real-time data processing that support the analysis and interpretation of product, operational, and customer data — searchable, designed with transparency in mind, and connected directly to your business workflows.

We build dashboards with AI-supported analysis and near real-time data processing that support the analysis and interpretation of product, operational, and customer data — searchable, designed with transparency in mind, and connected directly to your business workflows.

Our dashboards are not static charts. We combine machine learning, semantic search, vector retrieval, and predictive models with clean, modern UI to build interactive analytics tools to support data-driven workflows for teams worldwide.

From internal BI systems to customer-facing dashboards embedded in your SaaS platform, we architect, design, and implement intelligent data experiences that scale.

What We Deliver

Real-Time Dashboards

  • Live performance metrics
  • Streaming data (events, logs, usage, IoT)
  • Operational dashboards for sales, marketing, or product teams
  • Role-based access and granular permissions
  • Multi-tenant dashboards for SaaS platforms
  • Automated alerts and anomaly detection

AI-Powered Insights

  • Semantic search across your business data
  • "Ask your data" interfaces powered by LLMs
  • Smart summaries, explanations, and insights
  • Conversational analytics (chat over numbers + charts)
  • Automated reporting & PDF generation
  • Insights delivered via email, Slack, or WhatsApp

Data Processing & Warehousing

  • ETL/ELT pipelines
  • Data modeling and transformation (dbt, SQL)
  • Warehouse setup (BigQuery, ClickHouse, PostgreSQL)
  • Supabase & vector stores integration
  • High-volume ingestion with queues and streaming

Predictive & ML-Driven Analytics

  • Forecasting models to support analysis of sales, leads, supply, demand, and churn
  • User behavior scoring
  • Lead qualification and routing
  • Recommendation systems
  • Time-series modeling and anomaly detection

Why Companies Choose Our AI Dashboards

Modern TypeScript-based stack (Next.js, React, Supabase, Prisma)
Insights designed with transparency and traceability, avoiding unnecessary black-box behavior where possible
Data handling designed to align with GDPR requirements and EU-based hosting
Performance-first engineering even on large datasets
Beautiful, clean, intuitive dashboard UI
Enterprise-grade architecture built for scale
Deep integration with your internal tools and CRM

When You Need AI Dashboards

This service is ideal when you need:

A modern BI dashboard your team will actually use
AI-powered insights instead of static reporting
A centralized analytics layer for company KPIs
An internal or customer-facing analytics tool
Predictive metrics for better decision-making
A scalable, maintainable pipeline for product data
To replace Excel sheets, outdated reports, or messy scripts

Tools & Technologies

Frontend & UI

Next.js, React, Tailwind, shadcn/ui, D3.js, Recharts

Backend & Data Layer

Supabase, PostgreSQL, Prisma, ClickHouse, BigQuery

ML & AI

OpenAI, local LLMs, embeddings, vector DBs, Python ML models

Pipelines

dbt, Airbyte, Airflow, Kafka/Redpanda, queues, ETL/ELT

Infrastructure

Vercel EU, Supabase EU, AWS EU, Docker, CI/CD

Process: How We Build AI Dashboards

Step 1 — Discovery & Data Audit

  • Identify data sources
  • Assess quality, structure, and gaps
  • Define KPIs and insight types

Step 2 — Data Modeling & Architecture

  • Warehouse or database setup
  • ETL/ELT pipelines
  • Vector search & semantic layers

Step 3 — Dashboard & UI Development

  • Interactive charts & tables
  • Filters, roles, permissions
  • Realtime data updates

Step 4 — AI Intelligence Layer

  • Semantic search
  • Insight summaries
  • Predictive models
  • Automated reporting

Step 5 — Launch & Optimization

  • Performance tuning
  • Access control & security
  • Ongoing improvements

Example AI Dashboard Work (Case Studies)

Real-time sales intelligence dashboard for a B2B company

Live metrics, forecasting, and AI-powered insights for sales teams

AI search interface over 2M+ documents

Semantic search and intelligent document retrieval system

Forecasting system for lead generation and revenue planning

Predictive analytics dashboard with ML-driven forecasts

Operational dashboard for a SaaS platform with multi-tenant support

Multi-tenant analytics with role-based access and real-time updates

IoT data analytics with anomaly detection and alerts

Real-time IoT monitoring dashboard with automated anomaly detection

Examples shown are illustrative analytics use cases and do not constitute guarantees of accuracy, performance, or business outcomes.

FAQ

FAQ

Yes — we build conversational analytics and "chat with your data" interfaces.

Yes — we work with ClickHouse, BigQuery, PostgreSQL, and streaming systems.

Systems are designed to support GDPR-aligned data processing and EU-based hosting, depending on configuration and use case.

Absolutely — we build customer-facing dashboards with role-based access.

Yes — forecasting, scoring, anomaly detection, behavior predictions, and more.

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AI dashboards for companies operating production analytics systems. We support organizations with AI-powered dashboards, analytics interfaces, and dashboard development based on the specific technical and regulatory context of each project. All services are delivered individually and depend on system requirements and constraints.