Source attribution and framing analysis on every story. Built for India's 900M readers.
Parliament passes amendment after extended debate; opposition stages walkout citing procedural concerns.
The bill passed 287 to 142 after four hours of debate. Three opposition parties left the chamber before the vote.
We surface the phrase so readers weigh it, not absorb it.
UB60 scans every headline for loaded language, missing attribution, and sensational framing. The full pipeline also runs source verification and native Indic-language analysis. Paste any news headline below to see it work.
Government slams critics as opposition desperately scrambles to defend its embarrassing record on inflation.
Heavy framing. Multiple loaded signals.
Reliable content from authentic Indian and international sources. Every story delivered as a 60-word summary with full source verification.
India reads in many languages, and trust has fragmented across them. We give every reader the same thing: the story, its source, and how it was framed, in the language they already read.
Same verified story. Text summary, AI voice, AI anchor video. All generated by the same pipeline. Toggle and compare.
देश के बड़े समाचार प्लेटफ़ॉर्म तेज़ी से एआई-आधारित सत्यापन टूल लाने की दौड़ में हैं। इस तिमाही में कम से कम चार बड़े संस्थान स्रोत-संदर्भ देने वाली परतों का परीक्षण कर रहे हैं। पाठकों के बढ़ते दबाव के बीच यह कदम महत्वपूर्ण माना जा रहा है। नियामक भी इस पर नज़र रखे हुए हैं।
Most misinformation starts as selective framing, not fake news. Our pipeline runs four checks between publish and feed.
Stories pulled from authentic Indian and international publishers. Around 10,000 articles a day across Hindi, English, and Bangla.
Each story read in its original Indic language. Bias lives in idioms and honorifics. It gets lost when translated to English first.
Every claim tied back to its source. Loaded language, one-sided framing, and missing attribution flagged before publishing.
Each story condensed to a 60-word summary with the source visible. Scan, click to verify, decide for yourself.
900M internet users. Supply of unverified, AI-generated, emotionally framed content has outscaled every safeguard.
Closed sharing strips source attribution. By the time it reaches the reader, the origin is gone.
Synthetic articles and fabricated quotes now flood Indic-language feeds. Detection lags creation.
Most fact-checking tools assume English. Bias in Hindi or Bangla idioms stays invisible.
It lives in six high-frequency categories most apps treat as sidebars. We treat them as the main wedge.
Festival timing and life-event guidance, with named source astrologers.
Film, music, OTT, with paid-placement detection on every review.
Live scores, IPL coverage, player news from verified beat reporters.
Temple events and sacred calendars, attributed to recognised bodies.
Markets, policy, personal finance with source pills on every claim.
National, state, and constituency coverage with framing flags.
“Bias in Hindi or Bangla cannot be detected by translating to English first. It lives in idioms, honorifics, and local framing.”
We don't claim to determine the truth. We show what was reported, who reported it, and how it was framed.
Hindi, Bangla, and English today; 19 more on the roadmap. Built on AI4Bharat embeddings with a proprietary Indic news SLM in development.
Not publisher-first. The feed learns what you read, skip, share, listen to, and return to across every category.
AI-generated audio and AI anchor short-form video for verified stories, rolling out across Indian languages.
Owns company vision, fundraising, and go to market. Leads institutional partnerships and B2B verification pilots.
Owns content strategy, editorial standards, and the verified creator program.
Owns the application stack, infra, ingestion, and ML serving. Works directly with Umesh on AI integration.
Built the original AI pipeline. Owns model architecture, the neutralisation eval system, and the Indic SLM roadmap.
The next layer is people. Verified regional journalists, domain experts, and institutions publishing through the same provenance layer, so trusted coverage scales without losing its source.
Verified regional journalists publishing through our provenance layer.
Verified creators across ABCDEP earning through a revenue share model.
Government departments and civic bodies reaching citizens in their language.
