Comparison · enterprise video AI
Deepgrip vs Moments Lab.
Same goal, different centre of gravity.
Moments Lab (MXT-2, formerly Newsbridge) is broadcast-grade multimodal indexing built for large media operations. Deepgrip is a turnkey searchable-media-archive platform built Indic-first, with citation-backed answers, recap and compile. Same broad space, different centre of gravity. Here is when to choose each.
| Capability | Deepgrip | Moments Lab |
|---|---|---|
Primary deliverable Both ship end-user platforms. Moments Lab is built around broadcast/newsroom production workflows; Deepgrip is built around making any archive searchable, citable and reusable. | Turnkey searchable-archive platform | Broadcast indexing + MAM-adjacent layer |
How evaluation starts | Demo on your own footage, then a paid 14-day proof of concept | Guided onboarding / sales-led setup |
Citation-backed answers (timestamp + clip evidence) Moments Lab surfaces indexed moments and metadata; Deepgrip frames every answer as a grounded, timestamped citation you can verify. | ||
Ask-the-archive Q&A (RAG over the corpus) | ||
Recap generation built in | ||
Entity-driven clip compilation Both detect entities; Deepgrip assembles citation-backed reels from a written brief (Compile). | ||
Shot detection, visual search and on-screen text Deepgrip splits video into shots, lets you search by image or description, and reads on-screen text. Moments Lab does this too, at broadcast scale. | ||
Face and place recognition Deepgrip recognises faces and places as part of visual search. Moments Lab lists faces and logos in its multimodal indexing and is built for very large media operations. | ||
Multilingual ASR — 23 Indian languages and English Moments Lab transcribes and translates across many global languages; Indic depth and accents are shallower than a purpose-built Indic stack. | ||
Code-mixed (Hinglish, Tanglish) handling | ||
Translation pipeline (segment-aligned subtitles, SRT/TXT) | ||
Auto-clip generation for social platforms | ||
NAS / on-prem ingest connectors | ||
Sovereign-cloud / on-prem deployment Deepgrip offers sovereign-cloud and on-premise deployment as first-class options, which matters for Indian public-sector and faith archives. | ||
Broadcast / newsroom production integrations (MAM, rights, live) Moments Lab is the stronger fit if you live inside a broadcast production stack with established MAM and live-feed workflows. | ||
Pricing surface | Annual contract after a free demo and a paid 14-day proof of concept | Enterprise / sales-led |
Choose Deepgrip if
You want a searchable archive today, Indic-first, without a broadcast stack
You are a faith organisation, university, sports rightsholder, podcaster, publisher or regional broadcaster who wants decades of video to become searchable, citable and reusable now — with grounded answers, recap and compile, deep Indian-language and code-mixed support, and the option to deploy in a sovereign cloud or on-prem. You want to prove it on your own footage in a paid 14-day proof of concept before you commit. Deepgrip is the right shape.
Choose Moments Lab if
You run a large broadcast operation and need deep visual indexing at scale
You are a major broadcaster or media group operating inside a production stack with MAM, rights management and live feeds, and your priority is broadcast-grade multimodal indexing, including logo recognition, proven at very large scale across global languages. You want a sales-led enterprise partner embedded in newsroom workflows. Moments Lab is the right shape.
Moments Lab vs Deepgrip — common questions
Is Moments Lab the same as Newsbridge?
Yes. Moments Lab is the company formerly known as Newsbridge; MXT-2 is its multimodal indexing model. It targets broadcast and large media operations with deep visual-plus-audio indexing.
Which one is better for Indian-language archives?
Deepgrip is Indic-first: 23 Indian languages with code-mixed (Hinglish, Tanglish) handling are native, and translation is segment-aligned. Moments Lab supports many global languages but Indic depth and regional-accent accuracy are shallower. If your archive is predominantly Hindi, Tamil, Telugu, Bengali, Marathi or other Indic languages, Deepgrip will give you noticeably better ASR and search.
Which one has stronger visual search?
Both split video into shots, support visual search, read on-screen text and recognise faces. Deepgrip also recognises places. Moments Lab also lists logo recognition and is built for very large media operations, with deeper broadcast-scale visual indexing. Deepgrip leads with dialogue and semantic search plus citation-backed answers. If your retrieval is mostly "find every moment someone said X" or "answer this question from the archive," Deepgrip fits; if you need visual indexing at broadcast scale, including logos, Moments Lab fits.
Can I start without talking to sales?
There is a short call first. Every Deepgrip deployment starts with a free demo on your own footage, then a paid 14-day proof of concept on a sample of your archive. Moments Lab is typically sales-led with guided onboarding aimed at enterprise media operations.
Which one is better for compliance, sovereignty and audit?
Deepgrip ships role-based access control, full audit logs, and sovereign-cloud or on-premise deployment as first-class options — built with Indian public-sector and faith archives in mind. Both are credible enterprise vendors; for India-resident, sovereignty-sensitive workloads Deepgrip is typically the easier fit.
Try Deepgrip on a real archive.
Book a demo and bring a slice of your back catalogue. We index it, run your real queries, and show you the citations coming back.
Moments Lab is a trademark of its owner. Moments Lab official site. Comparisons reflect publicly documented capabilities at time of writing and may have changed since.