Production systems we shipped — named, not mocked up.
Real project examples from BrainsLogic: production SaaS platforms, AI and automation systems, dashboards, and internal business systems that run real operations today. Where a client's numbers are private, the metric is omitted rather than invented.
Four real builds, start to production
Each one built or rescued by senior engineers and still running the business it was built for.
DataToLeads / AvocaData
Millions of lead records stuck in Excel — two or three agencies tried and failed before us. We built a four-interface, multi-tenant DaaS platform with a master→child credit economy and sub-second search across 425M+ records.
Fornix AI
Arrived 4–5 months into a stalled build — only file upload existed, no architecture. We turned it around: AI vision auto-extracts paper incident reports, ML forecasts risk before it escalates, FERPA-compliant by design.
Miami Bikes
Replaced five disconnected tools — repair tickets, POS, inventory, marketing, Amazon compliance — with one system on a single data model. Runs the shop day to day, with live daily vendor sync and MAP/3P Amazon compliance.
Supplo
Turned raw-material sourcing into a single search box, backed by a governed catalog. We normalized ~4M messy ingredient records into a clean data model and built supplier + admin portals with zero-signup search.
Why these systems hold up
The same senior-led standards run through every build above.
Architecture-first
A founder owns the design before feature work begins — sized for the load, data, and integrations you'll actually have.
Senior engineers only
The engineer who architects your system writes the code and ships it. No junior hand-offs, no spec relayed through an account manager.
Maintainable by design
Clean data models and testable service layers, so the system stays easy to change long after launch.
Performance under real load
Sub-second search over hundreds of millions of records, non-blocking heavy work, and self-updating pipelines.
Integrations that hold
Payments, CRMs, data vendors, cloud, and third-party APIs wired in and validated under real conditions.
Production delivery
Shipped to monitored environments with observability, access control, and audit trails built in — not demos.
Want similar results for your product or workflow?
Book a technical call to review your scope, architecture, and timeline — or explore the services behind these builds.