Feasibility Studies for Embedded Systems
De-risk ambitious ideas with expert technical analysis, systems architecture planning, and early-stage prototyping strategies.
We help startups, research teams and product leaders evaluate technical feasibility, reduce uncertainty and make confident go/no-go decisions.
Our Process: From Questions to Clarity
LeafLabs feasibility studies are designed to help teams make confident technical decisions at the earliest and most critical stage of development. Whether you’re building a custom embedded platform, prototyping a brain-computer interface, or evaluating the edge AI capabilities of a physical system, we bring structure to the uncertainty.
Here’s how we break it down:
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We align your goals and constraints with your product vision. This phase includes system architecture, use cases, performance targets, integration requirements, and key risks.
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Our engineers analyze potential hardware and software configurations, assess tradeoffs, and identify integration risks; especially in complex systems like real-time control loops, sensor arrays, or FPGA-heavy designs.
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We surface critical engineering risks early: scalability limitations, thermal challenges, supply chain red flags, or uncertainties around signal fidelity and data throughput bottlenecks.
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You’ll get a report with feasibility findings, recommended design directions, and a go/no-go decision point. Plus, options for prototyping or pivots.
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If you’re ready to build, we’ll carry forward into proof-of-concept development to test out key assumptions fast and derisk future investment.
Domain Expertise in Complex Embedded & AI-Driven Systems
AI & Hardware Acceleration
Embedded AI Model Deployment
FPGA-based Inference & Signal Processing
ASIC & SOC Feasbility
Sensing & Integration
Sensor Fusion & Signal Processing
Data Acquisition
System Architecture Reviews
Real-Time & Connected Systems
Real-Time Embedded Design
IoT & Distributed Device Networks
Secure Embedded Comms