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An image of an Axis network camera in exploded view with annotations

ACAP DEVELOPER ACCELERATION PROGRAM

Build Production-Ready ACAP Applications Without Giving Up Control

We help software teams navigate the Axis ecosystem, validate edge AI on real hardware, and establish production-grade development patterns.

Program Overview

A structured acceleration program combining proactive technical guidance, focused consultations, and practical development tools—designed to help your team make the right ACAP decisions early, validate them on real hardware, and move faster with confidence—while retaining full ownership of all IP, code, and architectural decisions.

A collection of Axis devices that can run ACAP edge applications

Full Ownership, Zero Lock-In

This program is designed for companies that want to build and own their ACAP solutions long-term. You retain exclusive ownership of all code, models, architectures, and IP developed by your team.

We do not take ownership, embed proprietary frameworks into your product, or require you to build on top of our frameworks. Instead, we provide developer tools, knowledge, and guidance that help your engineers make better decisions faster—while keeping your product fully under your control.

What This Is / What This Is Not

This program is:

  • Enablement-focused
  • Tool- and knowledge-driven
  • Designed to build internal capability
  • IP-safe by design

This program is NOT:

  • Not outsourced ACAP development
  • Not a shared-IP framework
  • Not a proprietary runtime you depend on
  • Not a framework-based product you must adopt

Robust, Efficient, and Safe Development Process

A diagram of the QA process used at FixedIT for ACAP development

The diagram illustrates the development process we help teams establish for ACAP applications. Inspired by the Axis Security Development Model, the process is designed to ensure high quality, robustness, and long-term maintainability—while also increasing development speed.

By shifting testing, validation, and analysis earlier in the development lifecycle (“shift-left”), teams detect issues when they are cheapest and fastest to fix. Automated testing, static analysis, and controlled validation loops reduce rework and prevent late-stage surprises that commonly delay edge deployments.

Importantly, this process is not rigid or theoretical. We help adapt it to your organization’s size, maturity, and delivery goals—balancing safety and speed rather than trading one for the other.

For decision makers, this means:

  • Higher confidence in releases
  • Faster iteration without increasing risk
  • Fewer production incidents and costly fixes
  • A development approach that scales with team and fleet size

Evidence-Based Development and Optimization

A dashboard for benchmarking and health analysis of Axis cameras and ACAP

We help teams establish development practices where decisions are guided by evidence from real camera hardware—not assumptions, lab-only tests, or late-stage validation.

By introducing structured observability and benchmarking early in the development lifecycle, teams gain continuous insight into how applications and models behave under realistic conditions.

This approach replaces trial-and-error with measurable feedback. Performance, resource usage, and system impact become visible throughout development, enabling faster iteration and more confident optimization.

For managers and technical leaders, this fundamentally changes how development is steered:

  • Performance and cost tradeoffs are understood early
  • Optimization efforts are focused where they deliver the most impact
  • Scaling decisions are grounded in data rather than intuition

Together, these tools and processes enable teams to move faster because they work more systematically—not despite it. Teams move from prototype to production with fewer surprises, clearer requirements, and greater confidence that solutions will scale reliably in the field.

Key Benefits

✅ Build internal ACAP expertise

Understand the Axis ecosystem, camera generations, OS versions, SDKs, and partner requirements—so knowledge lives inside your team, not with an external vendor.

✅ Design for multiple hardware platforms

Learn how to support different cameras and DLPUs (ARTPEC, CV25, Edge TPU) without fragmenting your codebase or locking into one device class.

✅ Validate models directly on target hardware

Use development tools that allow your team to run inference on DLPUs from the host environment—catching performance issues early, without shared runtimes or opaque abstractions.

✅ Apply proven design patterns

Learn safe, scalable ACAP design patterns for updates, lifecycle management, and fleet deployments, while implementing them in your own codebase.

✅ Establish observability and performance discipline

Inspect system load, application load, and on-device ML metrics to build confidence before scaling deployments.

✅ Navigate the Axis partner ecosystem

Understand what it takes to become and operate as an Axis Technology Integration Partner and how you can leverage from the rest of the Axis ecosystem.

APPLY NOW

Seats are limited. We will get back to you with availability.

Planning makes perfect - Axis camera