AI-powered data platforms
Thousands of data sources. None agree. We fix that.
You’ve got spreadsheets, APIs, GIS databases, government datasets, and thousands of websites, all describing the same things in slightly different ways. Before AI, turning that into one clean, queryable system with maps, scores and dashboards was a multi-year, multi-million-dollar project. Modern Logic builds systems that make it feasible, and affordable.
Case study
See a data platform we built.
TAD is a tourism asset database we built with our partner Lawrence & Schiller. It brings tens of thousands of sources into one searchable, map-aware system, and it’s live and in use today.
Cost control
How we kept AI costs under control.
Minimized context per call
Routed around bad data
Built-in cost monitoring
Right-sized model selection
How we build
AI-assisted development, grounded in fundamentals.
We used AI in both directions: it powers the data platform, and AI-assisted development helped us build it faster and at lower cost than would have been possible three years ago.
But you can’t vibe-code a system this complex. AI-assisted development only works when it’s guided by engineers who know what good architecture looks like.
- Architecture by humans, implementation accelerated by AI. System design, data flow and infrastructure were chosen by engineers with 50+ combined years on this stack.
- Code quality review. AI-generated code gets the same scrutiny as human-written code for vulnerabilities, correctness and maintainability.
- Production-grade operations. Monitoring, alerting, failure handling, backups and data integrity.
- Right-sized infrastructure. Built to run on modest hardware because we broke the problem down correctly.
If you’d asked me three years ago what it would cost to build a system like this, with a built-in search engine, AI analysis for automatic tagging, and an integrated website with maps and rich searching, I would have said $10 million and two years.
For agencies
Built for marketing agencies who need a development partner.
This project came to us through a partnership with a marketing agency. Their client needed a data-driven web application, and that’s a different skill set than building marketing websites.
If your clients are asking for data-driven tools, dashboards, portals, or AI-powered applications, we can help. We’re not trying to take your client. We’re a development partner.
- We work within your timeline and client relationship, and you stay in the driver’s seat.
- We bring the technical expertise: architecture, AI, data engineering, cloud infrastructure.
- You bring the design and client expertise: branding, UX direction, stakeholder management.
- The result is better than either of us could deliver alone.
FAQ
Frequently asked questions about AI data platforms.
Straight answers to what people ask us before a data platform project.
How do I build a data platform that combines multiple data sources?
Modern Logic builds data platforms that ingest from APIs, databases, GIS systems, spreadsheets, and the open web. We handle the hard parts — deduplication, normalization, and reconciliation across sources that don’t agree with each other. On our tourism asset database, we unified data from tens of thousands of websites, OpenStreetMap, ArcGIS, state databases, and client-provided datasets into a single, queryable system. Read the case study.
Can AI really categorize messy, real-world data accurately?
Yes, with the right engineering. Large language models are good at understanding context and handling ambiguity — they can tell that a “medical center” and a “hospital” are the same kind of thing, or that a business selling burgers is a restaurant even if the word “restaurant” never appears. The key is building a system where AI handles the bulk of classification and humans review the edge cases. We processed roughly 100,000 assets this way.
How do I keep AI processing costs reasonable at scale?
By being deliberate about what you send to the model and which model you use. We built cost monitoring into our tourism asset database from the start — stripping unnecessary content before processing, skipping bad data, tracking token usage per pipeline run, and matching model capability to task complexity. The result was a system that processes tens of thousands of data sources at a cost that fits a state government budget.
I need a dashboard, portal, or web tool — where do I start?
Start by talking to a team that’s built them. Modern Logic builds web applications, data dashboards, portals, and internal tools. We’ll help you figure out the right architecture for your problem — what data sources to integrate, what the user experience should look like, and what infrastructure keeps costs reasonable as you scale.
We're a marketing agency and our client wants something more technical than what we do. Can you help?
That’s exactly how our tourism asset database project started. A marketing agency had a client asking for a data-driven web application, and they needed a development partner. We work alongside marketing agencies — you keep the client relationship, we build the technical product. We’ve done this successfully with partners and it works because we’re complementary, not competitive.
How long does a project like this take?
It depends on the scope, but AI-assisted development means we can move faster than you’d expect. Our tourism asset database — with tens of thousands of data sources, AI-powered categorization, interactive maps, dashboards, and a custom scoring algorithm — was delivered on time and on budget.
Let’s talk about your data problem.
Whether you’re trying to make sense of thousands of data sources, build an AI-powered platform, or just need a dashboard that actually works, we’ve built systems like this and we know where the hard parts are. Tell us what you’re trying to build.
Flip the bits
Every letter on this page is ones and zeros underneath. We like knowing how things work.