From first model to accelerated silicon.
Three connected disciplines that take your algorithm from idea to a production-ready, AI-powered system running efficiently at the edge.
AI you can trust in the field, not just the demo.
We architect AI-powered systems end to end — data pipelines, model selection, and inference optimized for real deployment targets rather than benchmark leaderboards.
- Model architecture and selection for constrained hardware
- Quantization and optimization for on-device inference
- MLOps and monitoring so accuracy holds in production
Prove it in a virtual model before you commit to hardware.
Our virtual models let you test behavior, tune parameters, and set defensible performance and power budgets — catching costly dead-ends early.
- Algorithm and system-level virtual models
- Performance, power, and latency budgeting
- Design-space exploration against your real constraints
Move the hot path onto reconfigurable fabric.
We profile your algorithms, identify where FPGA acceleration pays off, and deliver verified accelerators for edge and embedded targets — with the numbers to back them.
- Algorithm profiling and hot-path identification
- RTL/HLS implementation and timing closure
- Verification packages and maintainable IP handoff
The same algorithm, three ways to run it.
Where your workload lives determines its latency, power, and unit cost. Here's how a typical edge inference pipeline compares.
| Criteria | Cloud CPU | Edge GPU | Imagineous FPGA |
|---|---|---|---|
| Inference latency | High & variable | Moderate | Lowest, deterministic |
| Power at the edge | N/A (off-device) | High | Up to 70% lower |
| Runs offline / on-device | No | Yes | Yes |
| Per-unit cost at scale | Recurring | Moderate | Low, one-time IP |
| Deterministic timing | No | Rarely | By design |
| Verification evidence | Limited | Limited | Full package |
Ways to work with us.
Every engagement is scoped to your problem. These tiers show where teams usually start — request a quote for exact pricing.
Assessment
Know if AI and acceleration pay off before you invest.
- Algorithm & workload audit
- Feasibility & ROI report
- Recommended architecture
Build
Model, accelerate, and deliver a production-ready system.
- Virtual model & budgets
- FPGA acceleration & verification
- Documented, maintainable IP handoff
Partner
Ongoing senior engineering capacity for your roadmap.
- Dedicated senior engineers
- Continuous modeling & optimization
- Priority delivery & support
Frequently asked.
Do we need to know whether FPGA is the right choice before contacting you?
No. Our Assessment engagement exists precisely to answer that. We'll tell you honestly whether AI optimization, a better model, or FPGA acceleration is the right lever for your workload.
What edge and embedded targets do you support?
We work across common FPGA families and embedded platforms used in industrial, robotics, and sensing products. Share your target in the brief and we'll confirm fit during the assessment.
Who owns the IP you deliver?
You do. Deliverables include documented, maintainable IP and a verification package so your team can extend and support the system independently.
How do you work across time zones from Thailand and Japan?
Our two hubs give strong overlap with Asia-Pacific and workable overlap with Europe and the Americas. We set a communication cadence at kickoff and keep decisions documented.
How do I get a quote?
Send the problem through our contact form or email info@imagineous.com. We'll respond with clarifying questions and a scoped quote.
Ready to scope your engagement?
Tell us about your algorithm, your targets, and your constraints. We'll come back with a plan and a quote.