Manufacturing
We work with manufacturing teams to understand how production, quality, and supply chain processes actually need to run — then build AI-accelerated software around that reality. Not a generic platform you spend months configuring. Software that fits from day one.
The Problem
Your production data lives in five places and none of them agree. When MES, ERP, quality, and scheduling systems don't share a common data layer, your team fills the gaps manually — reconciling spreadsheets, re-keying data, and making decisions on information that's already outdated.
Quality shouldn't depend on someone remembering to transcribe a handwritten log. When inspection data, non-conformance tracking, and compliance documentation run on paper and manual processes, defects get caught downstream instead of at the source — and audit prep consumes weeks that could go toward production.
Decisions made on yesterday's numbers are already behind. When OEE, scrap rates, and throughput metrics aren't flowing in real time, leadership is optimizing a version of the plant that no longer exists. Data captured at the source, surfaced the moment it matters, structured to drive action — not just dashboards.
BEFORE
GLIDE PATH
AFTER
GLIDE PATH TIMELINE
This is what manufacturing software looks like when you stop buying generic and start building what fits.
What We Do
Slingr embeds with your operations team to map the processes that drive production, quality, and supply chain performance — then builds AI-accelerated software around them. Every workflow, every integration, every dashboard is shaped by how your team works.
Real-time OEE, automated production logging, and AI-powered anomaly detection — built around your actual production flow, not a template. When the process is designed right, issues get flagged before they become scrap.
Move inspection, SPC, and compliance documentation into the workflow where the work actually happens. Real-time non-conformance alerts and audit-ready records become a byproduct of the process — not a separate burden.
Bring supplier data, inventory, and production scheduling into a shared data layer so decisions happen on one version of the truth. AI-driven reorder points and demand signals built into the process, not bolted on after the fact.
Purpose-built execution systems designed around the way your team actually runs production — not a generic platform you spend months forcing to fit. Your processes lead. The technology follows.
The Value
How It Works
AI parses every conversation, document, and data source exchanged during kickoff to generate a structured scope and development roadmap — cutting weeks of back-and-forth into days.
We translate the roadmap into architecture and specs using AI to model workflows, identify integration points, and surface edge cases before a single line of code is written.
Our engineering pods use AI-assisted development to ship production-ready software in two-week cycles — writing, testing, and reviewing code at a pace traditional teams can't match.
After launch, AI monitors usage patterns, flags issues, and recommends optimizations. Your dedicated team stays on to iterate and scale based on real data, not guesswork.
Book a 15-minute strategy call. We'll map the process bottlenecks costing you throughput and margin — and show you how AI-accelerated software can be built around the way your operation actually needs to run.
Book a strategy call