Hire .NET Developers

Yes! At 10Pearls, you can hire .NET developers who work remotely and remain connected throughout the development cycle. We follow the rightshore model, which allows our nearshore and offshore teams in different parts of the world to work remotely and collaboratively. 

Hiring .NET developers from 10Pearls is a straightforward and streamlined process.  
    1. Start by sharing your project requirements through our contact form or by reaching out directly. 
    2. Schedule a consultation to understand your needs. 
    3. We then match you with pre-vetted developers who have the right expertise. 
    4. After interviews and selection, we’ll onboard your team and kick off development with clear milestones and deliverables. 

Yes. 10Pearls is a global AI development company headquartered in Washington, DC with delivery centers in the UK, Latin America, and Asia, while also offering a range of AI development services remotely to clients around the world.   

Our comprehensive discovery sessions are a fundamental part of every project we take on. This is how we determine your goals, KPIs, technical requirements, expected timelines, and what success looks like for you.  

For clients that are in the ideation phase, we offer a structured program called a Lean Product Accelerator (LPA), which is a series of guided discovery and strategy workshops conducted over 2-4 weeks to develop a detailed product strategy and MVP roadmap. 

Yes. Success of any AI application or initiative depends heavily on data quality but with important caveats. Pre-trained models come with minimal data burden – only what’s needed for fine-tuning. Custom models require large quantities of accurate, standardized, relevant, and balanced data available for model training. However, adequate data quality must be maintained for the successful operation of AI systems.  

We adhere to industry and domain-relevant compliance, governance, ethical, and security best practices when developing AI. This includes compliance mapping in the design phase and governance and ethical guardrails embedded into the AI product during development. For compliance and governance, we adhere to all relevant regulatory requirements and guidelines – industry, domain, consumer protection, AI use, etc. As for security, we assess everything from dependencies to attack surface and vectors to ensure our AI development is as structurally sound as possible.

10Pearls has developed AI software and solutions for clients from a broad range of industries, including fintech, healthcare, telecom, education, real estate, and retail.  

It’s impossible to present an average timeline since many variables influence the completion time of an AI project. This includes solution complexity, model choice (custom or pre-trained), size of training/retraining/fine-tuning data set, digital infrastructure limitations, governance measures, etc.

In custom AI software development, custom models can be more costly and require longer to train but offer full control over optimization, governance, and capabilities. Whereas, Pre-trained models are trained on massive and broad data sets that require explainability added as an additional layer but can be rapidly fine-tuned and deployed.

This depends on how you are adopting AI and who you have selected for AI development and deployment. If your development partner is deferring compliance and governance tasks to you, then your collaboration structure and developmental oversight should ensure that there are no privacy and compliance vulnerabilities. You can significantly reduce this risk by partnering with an AI development company that is equipped with a strong industry and compliance understanding as well as development expertise.