
Akshar, Sarvam’s newly launched document‑intelligence workbench, extends artificial‑intelligence capabilities far beyond traditional optical‑character‑recognition. Built on a server‑vision foundation, the platform reads, understands, and reasons about documents, offering a true “read‑and‑think” experience. The core innovation is visual grounding, which maps each character to precise page coordinates, preserving layout information even in multicolumn, handwritten, or historic scripts. Coupled with semantic relationship modeling, Akshar can automatically proofread, flag inconsistencies, and suggest corrections without human intervention. Sarvam’s demo highlighted processing of centuries‑old Indian manuscripts and chaotic modern reports, noting that the system “knows what the text means, not just the characters.” The AI‑human loop allows experts to validate hundreds of pages in the time normally required for a single page. For businesses, this translates into dramatically faster document digitization, reduced manual review costs, and higher confidence in extracted data—critical for compliance, research, and knowledge‑base creation.

India’s AI startup Sarvam announced the launch of six server‑grade foundation models, positioning itself as a home‑grown alternative to global providers. The models span document intelligence, speech recognition, voice cloning, vision, audio understanding, and multilingual dubbing, all optimized for Indian...

ByDance unveiled Seance 2.0, an AI‑driven video generation engine that lets users create short films using only prompts, images, audio, or existing clips. The platform combines text, image, audio, and video inputs into a single unified multimodal architecture, allowing up to...

Using Anthropic's Claude Sonnet 4.6, developers transformed a structured product prompt into a functional front‑end demo of a professional networking platform in minutes. The demo features a feed, profile recommendations, a post composer, and a responsive layout. The workflow replaces...

The video spotlights India’s home‑grown AI surge, unveiled at the India AI Impact Expo 2026, by showcasing five domestically developed products that claim real‑world impact across enterprise, consumer, and health sectors. Serum AI introduced two large‑language models—30 billion and 105 billion parameters—designed to...

At the India AI Impact Summit 2026 in New Delhi, Indian startup Sarvam AI announced two new large‑language foundation models—Server 30B and Server 105B—marking the country’s first home‑grown releases of this scale. Server 30B runs with only one billion active parameters per token, was pre‑trained...