Why Proxiom.ai?

Intake systems are universally deployed in Legal, HR, Sales, Customer Support, and other Enterprise Teams. Users want the flexibility to describe their issues in a natural way - voice or text. However, most NLP-based intake systems end up collecting vague, incomplete requests. This leads to delays, misrouting, missed upselling/crosselling opportunities and frustration.

At Proxiom.ai we are building expert agents that work like employees—learning, adapting, and mastering enterprise processes. Our mission is to redefine work by designing intelligent proxies that live the life cycle of a high-performing employee: they onboard, learn, have goals, adapt, and continuously grow. We are the intelligence behind every enterprise request.

Real-Time Feedback

Get instant validation and suggestions as you type or speak, ensuring every request is clear and complete before submission.

Natural Language Input

Submit requests in your own words—our system understands and processes natural language, making intake effortless.

Re-use Frequent Inputs

Save time by quickly reusing common or previously submitted requests, reducing repetitive work for your team.

Actionable Submissions Only

Only complete, actionable requests are accepted—eliminating back-and-forth and speeding up resolution.

Prioritization & Routing Automation

Automatically prioritize and route requests to the right team, ensuring faster response and optimal resource allocation.

Lab Metrics

Promising Tech Results from Our Advanced AI Models

SciKit-Learn

330K lines of code
60K node graph

PyTorch

800K lines of code
217K node graph

TensorFlow

900K lines of code
221K node graph

Cost Effective

Minimal LLM Compute Cost - Adaptive Model Fine-Tuning RL, SFT.

  • Adaptive model optimization
  • Efficient resource utilization
  • Automated fine-tuning