What we deliver

Reliq AI provides engineering services in product development, product support, quality assurance, and maintenance for Embedded Systems and Embedded AI.
We deliver comprehensive embedded product services that support your entire product journey — from initial proof-of-concept and development through modernization, security, quality assurance, and ongoing support.
Our experienced teams work across hardware, firmware, and system integration, ensuring reliable, high-performance solutions tailored to your industry and market needs.

Why work with ReliqAI

Deep Embedded Expertise

We handle the full lifecycle — R&D, NPI, PoC, Support — with deep focus on embedded systems NPI – New Product Introduction PoC – Proof of Concept

Everything Embedded

Through 1000s of embedded engineers we deliver full spectrum of embedded services – firmware, applications, hardware, cloud and more.

Fast Turn Around

Need immediate help? We can onboard embedded talent within days to meet urgent needs.

Any Size

From small projects to complex systems– we deliver!

Cost Effective

With Onshore management + Offshore delivery we provide best value with high efficiency.

What some customers say

S5* Systems is now ReliqAI

Frequently Asked Questions (FAQ)

How much does an Embedded AI project cost?

Typical Embedded AI projects range from $100K–$250K, but we often start with smaller engagements as low as $15K. Our goal is to help companies that have smaller needs, build trust, and develop long-term partnerships.

Short standalone projects, such as POCs, QA assessments, or Security Audit reports, typically take around 3 months. Larger, full-scale development projects with fully integrated Edge AI solutions can take up to 12 months, depending on scope and complexity. 

Our goal is to help companies accelerate time-to-market while reducing development costs.

To provide a clear estimate, we typically need:

  • Project objectives and scope
  • Target platform (MCU, MPU, RTOS, embedded Linux, etc.)
  • AI/ML requirements (vision, sensor fusion, TinyML, edge optimization)
  • Connectivity and integration needs (cloud, edge gateways, IoT platforms)
  • Timeline and budget constraints

We leverage a hybrid onshore/offshore team model to scale resources quickly. Combined with our embedded AI expertise, pre-built frameworks, and lifecycle support, we help clients reduce time-to-market without compromising quality or compliance.

Yes! We encourage starting with small POCs or pilot projects. This approach allows you to validate ideas, assess feasibility, and refine requirements before committing to a larger full-scale solution.

Embedded & Embedded AI Development Process

Steps you can expect in your embedded or embedded AI system development

01

Initiation

02

Planning

03

Development

Milestone 1, 2, 3…

04

Validation

05

Support & Maintenance

Post-Release

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Prototypes and technology exploration (R&D)

Our teams conduct research and development activities, building prototypes and proof-of-concepts that help architects, management, and engineering teams plan the full product lifecycle.

Product Development

Our teams deliver complete product development services, supporting you from concept through production-ready releases.

Product Modernization

We help you extend product lifecycles and stay competitive by modernizing existing products and platforms.

Product Quality Assurance

Our QA team helps the development teams build a high quality product by providing one of more of these services:

Product Security

Our Product Security services include:

Product Support

We provide comprehensive support services to ensure your products remain reliable, secure, and up to date throughout their lifecycle.

Team Extension

We help enhance your engineering team with offshore teams with specific tech expertise to help complete your software project in a shorter time