Data Products
We build AI-native intelligence platforms that compete with billion-dollar companies
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MV Nordic Crown
Shanghai → Rotterdam · ETA shifted +3.5 days
Trusted By
Teams Building Modern GTM Systems
What We Build: Standalone Data Products
Not consulting. Not dashboards. Complete intelligence platforms that your customers pay for.
What we built for Things Recon
Supply chain intelligence platform that researches companies across 16 subcategories (financial risk, compliance, geopolitical, security). Deployed "AI agent army" to collect data from multiple sources, tested 10+ models (OpenAI, Gemini, Claude), and built trust-level scoring system (80%+ threshold for production data).
Result
Launched in 4 months. Market response exceeded expectations. Now selling as standalone product + integrated into main platform.
Your use case
SaaS companies adding intelligence layers, services firms building research products for clients.
What we built for a leading PR firm
Intelligence platform that aggregates data from 7 social media sites + 30+ press sources with custom algorithms. Built to compete with billion-dollar tools using 2026 approaches (AI-native, lightweight databases, fast iteration).
Result
Services company can charge clients thousands extra per month. Could stand alone as product in multi-billion dollar market.
Your use case
Services firms adding intelligence offerings, media companies building competitive intel products.
Custom data products that combine firmographic, technographic, and intent data into ML-powered scoring systems.
Your use case
SaaS companies prioritizing accounts, services firms offering TAM mapping and segmentation.
For products that need the full foundation:
- •Data warehouse architecture (purpose-built for your use case)
- •Multi-source pipeline orchestration
- •Real-time data quality monitoring
- •Custom dashboards and reporting
Your use case
Companies building data products from scratch.
Built for two paths
Who We Build For
Two paths to data products that generate revenue.
SaaS Companies Adding Intelligence Layers
You have a product. You want to add an intelligence component that makes it 10x more valuable.
Example
A cybersecurity platform added AI-powered supply chain risk intelligence on top of their existing vulnerability scanning, now sold as both a standalone product and an integrated module.
Common Additions
Services Firms Building Revenue-Generating Products
You deliver services. You want a data product you can charge thousands extra for per client.
Example
A leading PR firm launched a digital consumer intelligence and social media analysis platform that now competes with billion-dollar incumbents and generates new revenue from existing clients.
Common Products
Case Study Highlight
Built Production-Ready Cyber Intelligence Platform in 4 Months
Challenge
Needed a complete cyber intelligence platform that could compete with billion-dollar tools, from concept to market-ready product
Solution
Built AI-native platform processing 100+ data sources, 16 intelligence subcategories, tested 10+ AI models, and created trust-level scoring system for production reliability
Result
Complete intelligence platform ready for client integration in 4 months. Now competes directly with enterprise-grade cybersecurity tools.
Our approach
How We Build Different
Built with 2026 approaches, not 2018 architectures
We don't retrofit AI into legacy systems. We build AI-native intelligence platforms with robust yet flexible databases, multi-model testing, and custom algorithms, all production ready from day one.
Aggregate from 100+ sources
Social, press, APIs, proprietary data
Test 10+ AI models
OpenAI, Gemini, Claude for optimal accuracy
Trust-level scoring
Filter hallucinations (80%+ threshold)
AI agent armies
Continuous data collection at scale
Custom algorithms
Built for your specific use case
Ready to build your intelligence platform?
Let's discuss what data product would move the needle, whether you're adding intelligence to your SaaS or building a revenue-generating offering for your clients.
Book an Intro Call