RProcess

rProcess at CII Annual Business Summit 2026 🇮🇳

The CII Annual Business Summit 2026 brought together leaders across industry, policy, and innovation to discuss the future of India@100.

rProcess was proud to be represented at the summit with our CEO, Savitha Mallappa, in attendance.

One key theme across discussions was clear, the future belongs to organizations that can combine AI adoption, operational agility, and trusted partnerships at scale.

The conversations reinforced what we strongly believe at rProcess, technology and AI must drive not only growth, but also access, opportunity, and responsible progress.

Proud to be part of a platform shaping India’s long-term competitive future.

When the Road Goes Dark, Thermal Vision Sees More 🌙

In low-light environments, traditional RGB cameras can struggle to separate pedestrians and obstacles from shadows.
But thermal sensors detect heat signatures clearly, improving perception in darkness, fog, glare, and challenging weather conditions.

For ADAS and autonomous systems, combining RGB + thermal perception is becoming critical for improving detection accuracy and reducing safety risks.

At rProcess, we support AI mobility programs with high-precision thermal annotation, sensor fusion workflows, and production-grade QA designed for safety-critical systems.

Because in autonomous mobility, visibility is everything.

When Sensors Don’t Align, Decisions Don’t Either

LiDAR detects depth.
Cameras provide context.
But real understanding comes from how well they work together.

In ADAS systems, even small misalignments across sensors can scale into larger issues, impacting datasets, models, and real-world decisions.

At rProcess, we’ve seen that success in multi-sensor fusion comes down to one thing - consistent, high-quality data and strong QA.

Because accuracy isn’t just about one correct label.
It’s about everything aligning when it matters.

Where do you see the biggest challenge - alignment, scale, or consistency?

rProcess | Her Leadership Series

Supreetha
Global Business Development Manager

In AI, scale is easy.
But relevance builds trust.

For Supreetha, leadership means choosing quality over volume. She ensures every opportunity is validated, because trust is built through meaningful conversations.

When AI-generated leads didn’t convert, she introduced a Human Validation layer, improving both confidence and outcomes.

Her belief:
Protect the integrity of every conversation.

Her message:
Build your own path with confidence.