Context-Aware Safetyfor the Next Billion Users.
B2B Multi-modal moderation for short-form video. We move beyond simple labels to understand intent using CLIP, Whisper, and Active Learning.
Indian AI Companies Face a
Data Bottleneck
Every AI model is only as good as its training data. But companies building AI for Bharat struggle to find reliable, high-quality labeled datasets in regional languages.
Time Wasted
AI teams spend most of their time on data preparation, not model innovation.
Regional Language Gap
Quality labeled data in Hindi, Tamil, Telugu remains scarce and expensive.
Quality Compromise
Existing vendors lack cultural context and domain expertise for Indian data.
The Vyakt Promise
We don't just label data; we validate reality. We turn raw, chaotic information into Vyakt (Distinct & Clear) datasets.
The Pipeline
Three pillars of context-aware safety for multi-modal content
Vision (CLIP)
The Eyes
Frame-level analysis at 0.5s sampling. Trained on 'Hard Negatives' (e.g., separating professional wrestling from real-world violence).
Audio (Whisper)
The Ears
Beyond pixels. We transcribe and analyze vernacular audio to detect hate speech and propaganda hidden in 'safe-looking' videos.
The Uncertainty Trap
Human-In-The-Loop
Our model knows what it doesn't know. Conflicting signals (40-60% confidence) are automatically routed to our Human-in-the-Loop pipeline for rapid retraining.
The Vyakt Data Engine
Interactive, multi-modal workflows designed for Trust & Safety.
Moving Fast
Our roadmap for context-aware safety evolution
Image V2
6-class classifier perfected on 12k+ hard negatives.
Video Bridge V1
Multi-modal integration (CLIP + Whisper).
Edge-case Mining
Automated mining (Active Learning at scale).
The Bharat Context
Global tools fail in India. We handle regional nuances to bring true context.
Cultural Nuance
Breastfeeding vs. NSFW, religious symbols vs. hate speech.
Vernacular Slang
Understanding intent through regional slang and code-mixing via Whisper models.
Contextual Safety
Most global safety tools fail in India. We handle the specific edge cases that matter locally.
Why Indian AI Companies
Choose VyaktAI
Trust built on cultural context, accuracy, and performance
India-First Approach
Deep understanding of regional languages and cultural context. Our annotators are native speakers trained in content nuances.
Quality + Speed
95%+ accuracy with 10x faster turnaround than traditional vendors. Proven through rigorous testing.
Cost-Effective
60% less expensive than global alternatives while maintaining enterprise-grade quality. Transparent pricing.
Domain Expertise
Specialized annotators with subject-matter knowledge in healthcare, finance, social media, and more.