DeepReach

Your On-Demand Expert Engine

DeepReach discover, screen, and recruit global experts for your specific tasks, with speed and quality guaranteed.

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DeepReach Network

Our Advantages

1

10K+ Verified Experts Globally

Every registered expert gets carefully screened for their skills and work eligibility. Once your task comes, our system will rank and match them instantly.

2

Customized Trial-Hire Simulator

Shiny resumes and interview skills cannot guarantee a successful project delivery. So we further screen them with real-world work from you (or similar tasks).

3

Easy Workforce Management

Hiring a person takes a lot of effort – global payment, compliance, legal, performance tracking. We handle all for you so you just pay like using an API.

How It Works

1

Click "Find Expert"

Tell our AI assistant about your company, tasks, and ideal expert profile.

Time: 2 mins
2

Meet for Details

We will together finalize the ideal talent profile, screening rubrics, and trial-hire tasks.

Time: 30 mins
3

Expert Matching

Match your requests with our experts and confirm their availability.

Time: 2-3 days
4

Simulation & Review

Available experts do trial-hire tasks. You will receive and review a full report of top candidates.

Time: 3-4 days
5

Onboarding

Once confirmed, DeepReach will set up time tracker and payments. Experts are ready to go!

Time: 1-2 days

Success Stories

Multi-Modal AI Trainer

An industry-leading robotic company partners with DeepReach to hire 10+ experts to improve the foundation model.

93% of the delivered data is accepted by the client without any feedback.

Integration Engineer

An AI agent startup works with DeepReach to find experienced engineers to integrate their agent to major data storage platforms. The project was fully delivered two weeks before the planned due date.

GTM Consultant

An AI application startup works with DeepReach to connect to a senior partner—a GTM expert who helped boost their DAU by 3X.

ML Engineer

DeepReach helps a top LLM research lab to find remote ML engineers building their live LLM evaluation benchmarks.

The whole project was delivered with only half of the planned time.

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