About
Perceptron

We are a team of AI researchers and engineers dedicated to building the next generation of intelligent systems that solve real-world problems.

Our Purpose

Our Mission.

At Perceptron, we believe AI has the power to transform industries and improve lives.

At Perceptron, we believe that artificial intelligence has the power to transform industries and improve lives. Our mission is to develop cutting-edge AI solutions that are not only technically advanced but also practical and impactful.

We focus on three core areas: computer vision, natural language processing, and multimodal AI systems. Through rigorous research and development, we create tools and services that help organizations harness the power of AI.

Computer Vision
NLP
Multimodal AI
auta.perceptron.ai
AnnotatePlanExport
Annotate every chest X-ray. Bounding boxes around opacity or effusion. Skip clean scans.
Running 2-class detection on 2,847 images.
taskobject_detection
classes[opacity, effusion]
formatCOCO
split80 / 10 / 10
Processing 2,847 images · 1,203 annotated
The People

Meet our team.

Talented researchers and engineers working together to advance AI.

Leadership
Rohan Mainali

Rohan Mainali

Chief Executive Officer

Strategic Leadership & Corporate Governance

LinkedIn
What Drives Us

Our core values.

The principles that guide every decision we make as a team.

Innovation

Pushing the boundaries of AI research with cutting-edge techniques and novel approaches.

Intelligence

Creating systems that understand, learn, and adapt to complex real-world challenges.

Collaboration

Working closely with partners to transform vision into reality through intelligent solutions.

Our Journey

Roadmap.

From identifying the problem to building AI that evolves — here's where we've been and where we're going.

Q4 2025

Problem Discovery

  • Found annotation bottleneck during a CV project
  • Existing tools too slow, manual and not scalable
  • Defined need for conversational annotation
Q1 2026

Development

  • Built AI-powered annotation platform
  • Automated project, task and dataset creation
  • Designed end-to-end Auto Dataset creation workflow
Q2 2026 — Now
Current Stage

Deployment

  • Deployed platform on cloud infrastructure
  • Onboarding early users and pilot customers
  • Enabled scalable dataset processing
Q3 2026+

Self-Learning System

  • Learning from user corrections and usage patterns
  • Continuous improvement in labeling accuracy
  • Adaptive annotation across domains