Handler's answer

Handler is currently early, so we are not publishing customer names yet. The product is built for app founders, consumer app teams, growth marketers, and agencies working on TikTok-based app growth.

DataPortia's answer:

• PCS-Engineering Oy (Finnish automation integrator and reseller partner)

DataPortia is an early-stage product currently used by industrial automation companies in Finland. Our reseller partner PCS-Engineering Oy deploys DataPortia for their industrial clients. We are actively expanding to energy plants, district heating networks, and manufacturing facilities across the Nordics and DACH regions.

Handler's answer

Handler is built specifically for app marketers who want to find what is already working on TikTok. Instead of guessing content ideas, Handler helps teams discover outlier TikToks, understand winning patterns, and decide what to test next.

DataPortia's answer:

DataPortia is the only industrial data acquisition software that combines on-premises AI analytics with OPC UA connectivity — all without any cloud dependency. What makes it unique:

• Local AI analysis powered by Ollama LLM — your process data never leaves your network. Supports anomaly detection, forecasting, cost optimization, and natural language queries directly on your production data.

• Extreme throughput: handles 2,000+ measurement points per second across 10+ simultaneous OPC UA connections, storing up to 172 million rows per day in TimescaleDB.

• True on-premises architecture — no subscriptions to cloud services, no data leaving the plant. Critical for industries with strict cybersecurity and data sovereignty requirements.

• 4-language UI (Finnish, English, Swedish, German) built in — not bolted on. Every screen, tooltip, help page, and AI prompt works natively in all four languages.

• Runs on commodity hardware — PostgreSQL + TimescaleDB instead of expensive proprietary historian databases. Compresses 126 billion rows into ~1.2 TB.

Handler's answer

Handler is focused on TikTok research for app growth, not generic social media management. It helps marketers move faster from “what should we post?” to clear creative direction based on real winning TikToks.

DataPortia's answer:

Compared to alternatives like Ignition, WinCC, Wonderware, or AVEVA:

• No cloud lock-in: Unlike cloud-based IoT platforms, DataPortia runs entirely on-premises. Your data stays in your network — no recurring cloud fees, no vendor dependency.

• Built-in AI analytics: Competitors require separate, expensive AI add-ons or cloud services. DataPortia includes local AI analysis (anomaly detection, forecasting, cost optimization) out of the box via Ollama.

• Lower total cost: Uses open-source PostgreSQL/TimescaleDB instead of proprietary historian databases. No per-tag licensing — connect unlimited measurement points.

• OPC UA native: Connects to any OPC UA-compatible system (Siemens, ABB, Valmet, Beckhoff, Schneider, Honeywell, Rockwell) with built-in redundancy/failover.

• Modern web interface: Responsive dashboards, interactive trends with drag-to-zoom, automated PDF/CSV reports — accessible from any device without installing client software.

• Free 30-day trial with full functionality, including AI features.

Handler's answer

Handler is made for app founders, growth marketers, mobile app teams, indie app builders, and agencies that use TikTok to grow consumer apps.

DataPortia's answer:

DataPortia serves industrial professionals who need reliable, real-time process data — without cloud complexity:

• Automation engineers managing OPC UA-connected control systems (PLC, SCADA, DCS)

• Plant managers at energy plants, district heating networks, and manufacturing facilities who need dashboards and automated reports

• Process engineers in power generation, water treatment, waste incineration, and process industry who analyze trends and optimize operations

• IT/OT professionals responsible for on-premises data infrastructure and cybersecurity compliance

• System integrators deploying monitoring solutions for industrial clients (Siemens PCS7, ABB, Valmet, Beckhoff environments)

The common thread: organizations that handle sensitive industrial data and need powerful analytics without sending data to the cloud.

Handler's answer

Handler was created because app teams spend too much time manually scrolling TikTok trying to understand what content works. We built it to make TikTok research faster, clearer, and more repeatable for app marketers.

DataPortia's answer:

DataPortia was born from a real gap in the industrial automation market. Traditional SCADA historians and reporting tools are either prohibitively expensive, locked into proprietary ecosystems, or require cloud connectivity that many industrial facilities cannot accept for security reasons.

Built by Atorcom in Karstula, Finland, DataPortia was designed from the ground up to solve this: give industrial operators a modern, affordable, and secure way to collect, visualize, and analyze their automation data — entirely on-premises.

The product evolved through direct experience with Finnish energy plants and process facilities, where the need for local AI analytics became clear. In 2025, DataPortia integrated Ollama-based local LLM analysis, making it one of the first industrial data tools to offer AI-powered anomaly detection, forecasting, and cost optimization without any cloud dependency.

Today, DataPortia connects to any OPC UA automation system and processes thousands of measurement points per second — all running on standard PostgreSQL/TimescaleDB, proving that industrial-grade performance doesn't require enterprise-grade pricing.

Handler's answer

Handler uses AI analysis, TikTok content research, video metadata extraction, creative pattern detection, and a web-based dashboard to help app marketers find and understand winning TikToks.

DataPortia's answer:

• ASP.NET Core 9.0 (.NET 9) — Backend framework, self-hosted Kestrel server

• PostgreSQL 18 + TimescaleDB — Time-series database with hypertables, compression, and continuous aggregates

• OPC UA (OPCFoundation.NetStandard) — Industrial automation connectivity protocol

• Ollama — Local large language model runtime for on-premises AI analysis

• Entity Framework Core 9.0 + Dapper — ORM and raw SQL queries

• ECharts 5.6 — Interactive chart visualization (dashboards, trends, analysis)

• Microsoft.Identity.Web — Optional Azure AD authentication