Deploy Once, Run Anywhere: Reduce FPGA Integration Time Without Vendor Lock-In

When deploying AI models to hardware accelerators like FPGAs, engineering teams often face a bottleneck that delays go-to-market and inflates integration costs: vendor lock-in.

Each FPGA vendor has its own design flow, toolchain, and IP constraints. This forces companies to rework their entire pipeline every time a new silicon partner is chosen, driving up costs, revalidation cycles, and project risk. According to Deloitte, 62% of companies deploying edge AI solutions report vendor dependency as a significant barrier to scaling across hardware environments.

NeuralBoost by MKLabs was designed to solve this.

One Pipeline, Any FPGA.  NeuralBoost enables teams to reuse their existing AI models, pipelines, and IP across all major FPGA platforms, including those from  AMD/Xilinx, Microchip, and Intel. That means you can design once and deploy on whichever chip makes business sense. No need to rebuild your AI logic or retrain your team every time you switch vendor.

✔ Zero revalidation cycles when changing FPGA family

✔ Cross-compatibility that protects past investments

✔ Seamless integration into existing production lines

From 6 Months to 3: Reducing Time-to-Market by Up to 40%.  In high-performance sectors like defense, industrial automation, or real-time traffic management, project delays can cost millions. FPGA deployments traditionally take 6 to 9 months due to hardware-specific integration work. With NeuralBoost’s unified toolchain, teams can cut that time by up to 40%, achieving deployment in as little as 3–4 months.

A single integration effort can scale across:

-Multiple product lines

-Varying compute needs

-New silicon vendor constraints

No More Trade-Offs Between Flexibility and Speed. NeuralBoost doesn't force you to choose between reusability and performance. Its configurable architecture allows teams to fine-tune the resource vs. footprint trade-off, adapting to hardware constraints without compromising inference accuracy.

Whether you're deploying on:

-Low-power FPGAs at the edge

-High-throughput boards in data centers

-Specialized chips in avionics or automotive

…your code doesn’t need to change.

Protect Your AI Investment. Most AI teams spend 70% of their time preparing and fine-tuning models. But this effort is often locked into a single vendor’s ecosystem. NeuralBoost ensures that the value of your AI development isn’t tied to one chip manufacturer, giving your product and your business long-term resilience.

Why This Matters to Decision Makers.  In a market where time-to-market, flexibility, and resilience define competitive edge, NeuralBoost is the cross-platform accelerator your team needs.

If you're a CTO, product owner, or system architect:

-No redesign means lower cost of change

-Faster integration means faster monetization

-Vendor neutrality means stronger negotiation power