Infereal
Edge AI & Computer Vision
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Privacy-first • On-device • Production-ready

We build high-performance AI experiences on the edge.

Infereal focuses on Computer Vision and on-device AI systems that run fast, reliably, and locally — with careful optimization across CPU/GPU/NPU.

Edge AI Computer Vision Optimization Deployment Privacy

What we care about

  • Fast inference with measurable latency improvements
  • Local processing to keep sensitive data off servers
  • Reliable pipelines: build, test, deploy, monitor
  • Clean integration into existing products

Our intent

Infereal exists to turn advanced AI into practical products — especially where performance, cost, and privacy matter.

Local-first AI

Run models on device to reduce latency and protect user data.

Engineering over hype

Benchmark-driven optimization, real constraints, real improvements.

Scalable delivery

From prototype to production: reproducible builds, deployment strategy, and maintainability.

Services

Modular support — you can engage for a single sprint or long-term delivery.

Edge AI architecture & feasibility

Device selection, pipeline design, latency/cost budgeting, offline-first flows.

Model deployment & optimization

Quantization strategies, runtime selection, CPU/GPU/NPU scheduling, profiling & tuning.

Computer Vision systems

Detection, segmentation, tracking, quality metrics, real-time post-processing.

Production hardening

Testing, packaging, CI workflows, monitoring signals, performance regression checks.

How we work

A simple, transparent process focused on outcomes and measurable improvements.

  1. 1

    Clarify the goal

    Define success metrics: latency, accuracy, compute budget, UX constraints.

  2. 2

    Baseline & profile

    Measure the current pipeline to find the real bottlenecks.

  3. 3

    Optimize & validate

    Iterate with controlled experiments and keep quality stable.

  4. 4

    Deliver & document

    Clean handoff, reproducible builds, and clear next steps.

Contact

Tell us what you’re building. We’ll respond with a clear plan and next steps.

Start here

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FAQ

Do you work with private repos and NDAs?

Yes — we can operate with strict access control and minimal permissions.

Can you help us choose devices and deployment strategy?

Yes — we compare constraints and propose a pragmatic, scalable plan.

What’s a typical starting engagement?

A short feasibility + profiling sprint to establish baseline metrics and roadmap.