Media teams today wrestle with oceans of audio and video data. Traditional workflows struggle to keep pace with fast-moving production cycles, making discovery, edits, and governance tedious. LattifAI launches a new era where every second of media becomes a searchable, editable asset and a foundation for smarter decisions.
At its core, LattifAI is a next-gen AI media processing agent that blends high-speed AI pipelines with multimodal understanding. It extracts transcripts, timestamps, scenes, and metadata across audio and video, then aligns text, speech, visuals, and timing into coherent timelines. This enables precise search, rapid edits, and governance that scales with your data, while its data sovereignty features ensure you retain control over who can access what—wherever your data lives. The result is a unified, scalable platform that accelerates media workflows without compromising security or compliance.
Key Features
- Lightning-Fast Processing: Delivers near real-time processing for large media libraries, dramatically reducing the time from ingest to searchable, structured outputs.
- Multimodal Timeline Alignment: Synchronizes transcripts, audio cues, and visual context to produce accurate, navigable timelines across hours of content.
- AI Data Sovereignty: Enforces policy-driven data governance so sensitive material stays within designated regions and access boundaries.
- Searchable Audio & Video: Full-text search across transcripts and cues, with results anchored to precise timestamps and media segments.
- Structured Media Outputs: Generates standardized metadata, chapters, captions, and contextual tags that feed downstream workflows.
- Secure Data Handling: Implements robust encryption, access controls, and auditability to protect media rights and privacy.
- Scalable Processing Engine: Cloud-native, autoscaling infrastructure that grows with your library and throughput needs.
- Seamless Integrations: Rich connectors and APIs to fit into existing MAM/DAM, CMS, and analytics ecosystems.
Who Is This For?
- Enterprise Media Ops teams handling product videos, interviews, and ads who need fast indexing and searchable archives to accelerate QA, tagging, and reuse.
- Content Creators and Agencies producing long-form or multi-language content who want quick chaptering, editing, and asset repurposing across platforms.
- Compliance and Governance professionals who require auditable data lineage, retention policies, and region-bound data handling.
- Developers and data teams building media-driven apps who need robust APIs to ingest, process, and analyze audio/video at scale.
Under the Hood
LattifAI combines AI-driven pipelines with multimodal understanding to extract and align content across modalities. Its governance layer enforces data sovereignty policies, while the platform exposes APIs and connectors for integration with existing tooling. It prioritizes security, performance, and accuracy, delivering structured outputs that can power search, editing, analytics, and automated workflows.
Get Started
Begin by provisioning access to LattifAI Web, explore the API docs and templates, and connect your media sources. Create your first processing pipeline with guided templates, review the generated transcripts and timelines, and iterate with visual editors and QA checks. Resources include documented best practices, sample datasets, and a sandbox to test integrations before production rollout.
Closing
LattifAI transforms raw media into fast, governed, data-rich assets that accelerate discovery, editing, and decision-making across teams and platforms.
