Local-first AI
Run models on device to reduce latency and protect user data.
Privacy-first • On-device • Production-ready
Infereal focuses on Computer Vision and on-device AI systems that run fast, reliably, and locally — with careful optimization across CPU/GPU/NPU.
Infereal exists to turn advanced AI into practical products — especially where performance, cost, and privacy matter.
Run models on device to reduce latency and protect user data.
Benchmark-driven optimization, real constraints, real improvements.
From prototype to production: reproducible builds, deployment strategy, and maintainability.
Modular support — you can engage for a single sprint or long-term delivery.
Device selection, pipeline design, latency/cost budgeting, offline-first flows.
Quantization strategies, runtime selection, CPU/GPU/NPU scheduling, profiling & tuning.
Detection, segmentation, tracking, quality metrics, real-time post-processing.
Testing, packaging, CI workflows, monitoring signals, performance regression checks.
A simple, transparent process focused on outcomes and measurable improvements.
Define success metrics: latency, accuracy, compute budget, UX constraints.
Measure the current pipeline to find the real bottlenecks.
Iterate with controlled experiments and keep quality stable.
Clean handoff, reproducible builds, and clear next steps.
Tell us what you’re building. We’ll respond with a clear plan and next steps.
Replace the placeholders below with your real links.
Yes — we can operate with strict access control and minimal permissions.
Yes — we compare constraints and propose a pragmatic, scalable plan.
A short feasibility + profiling sprint to establish baseline metrics and roadmap.