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Dig

Founded 2021 · 121 employees on LinkedIn · 5 known investors

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ask-dig is an AI search engine that analyzes social media content to answer questions about what people are saying and doing online. It reads social video posts and audience reactions in real-time across major platforms, returning evidence-backed answers with direct links to source content for brands, communications teams, and agencies.

Also known as dig · dig.ai

Investors · 5

Company profile

researched Aug 2026

dig (dig.ai) is a social listening and brand intelligence platform built around the analysis of social video. Rather than analyzing the text surrounding a video — captions, descriptions, hashtags and comments — the platform processes the content inside video and image posts, including visuals, speech, tone, scenes, objects, emotions and narrative structure, in order to determine whether a product is actually shown, whether a mention is sarcasm or praise, and how sentiment reads within the footage itself.

The product set includes a natural-language social research chatbot (ask-dig), sentiment analysis calibrated to a customer's point of view, creator profiling by type, demographics, reach tier, language and content style, narrative intelligence that flags deepfakes, bots and AI-generated content, customizable insight dashboards, a live structured feed of posts and videos, rule-based smart alerts, comment-level sentiment and theme analysis, and figure detection that identifies when key individuals appear in video content. The company states that every insight links back to the exact source posts, that the platform covers 90%+ of social video across TikTok, YouTube, Instagram, Reddit, X and Facebook, that tagging and classification run at 95% accuracy validated against labeled datasets with human-in-the-loop evaluation, and that it analyzes roughly 750 million posts per month.

dig positions its risk-detection capabilities around deepfakes and manipulated content, counterfeit products and brand misuse, misinformation and harmful narratives, off-brand creators and influencers, and emerging negative issues.

Founding story

The company was founded on the premise that consumer culture shifted to video — reels, stitches, reactions and live streams — while social intelligence tooling remained built for text. dig was designed from the outset to analyze video at the source rather than adding video as a supplementary capability.

Business model

B2B software platform sold to organizations, with prospects entering through a "book a demo" motion on the company website. The site describes fast onboarding without configuration, Boolean query setup or taxonomy building, with most teams operational in under three hours.

Sold as a software platform to enterprise, agency, research and public sector teams; pricing is not disclosed publicly.

Traction

The company reports analyzing 750 million posts monthly and covering 90%+ of social video across major platforms, and states that leading global brands, agencies, governments and public institutions use the platform. Specific customer names, revenue and headcount are not disclosed publicly.

Latest developments

The company markets ask-dig, an AI social search chat that answers natural-language questions about social conversation using underlying posts with the original videos attached as evidence, and is recruiting across its team.

Full profile — market position, technology, go-to-market, history

Market position

Competes in social listening and brand intelligence, positioning against traditional text-based listening tools, general-purpose AI assistants and manual agency research. The company states that leading global brands, agencies, governments and public institutions are customers, though named references are not disclosed on its site.

Analysis of the content inside social video and images rather than the surrounding text metadata, combined with claimed full traceability of every insight to the original posts, broad platform coverage, and a natural-language research interface. The company frames this as a distinct category, "video-first social intelligence," and contrasts it with text-based listening tools, general-purpose LLMs, and manual analyst research that it characterizes as slow, partial and non-reproducible.

Technology

In-video and in-image analysis that decodes visuals, speech, tone, scenes, objects, emotions and narrative structure, applied continuously at scale rather than by sampling. Outputs include content classification, narrative clustering, sentiment scoring, creator profiling, authenticity scoring for deepfakes, bots and AI-generated content, and detection of key figures appearing in video. A natural-language research chatbot handles multi-step queries across the corpus, and every answer links back to the underlying posts. The company contrasts its approach with general-purpose large language models, which it says summarize language but cannot interpret visuals, gestures, edits or on-screen context.

Go-to-market

Direct sales driven by demo requests on the website, with dedicated positioning pages for brands, agencies, research teams, creators and the public sector. Leadership includes a VP Revenue, a CMO and a dedicated Government general manager, indicating a segmented enterprise and public sector sales approach.

Brand and consumer insights teams, CMOs and strategy leaders, communications and PR teams, agencies, research and analytics teams, creators, and public sector and institutional teams. Stated use cases span perception and creative direction, positioning and market study, crisis detection and reputation management, client pitching and influencer vetting, qualitative research at scale, and public sentiment, disinformation and trust monitoring.

History

dig was built as a video-native intelligence platform, with the founders describing an evolution from a technological breakthrough in video analysis into what the company calls a new category of video-first social intelligence. It is co-founded by CEO Ofer Familier, previously at McKinsey, Vayyar Imaging and Intel, and CTO Eyal Koren, previously at Vayyar Imaging, Intel and Unit 81. The leadership team also includes Tal Dagan (COO; previously Yotpo, Vimeo, Magisto, PrimeSense), Sivan Schick (VP R&D; Vayyar Imaging), Amit Ashkenazi (VP Revenue; Tastewise, Signal Analytics), Noa Sina (VP Quality & Success; Vayyar Imaging, Vi), Chen Guter (CMO; Procter & Gamble, AppsFlyer, Lusha), Asaf Cohen Pizzer (Government GM; co-founder of Datorios, former deputy commander in Unit 8200) and Erez Fisher (VP Finance; EasySend, StartApp, 888holdings).

Compiled by commissioned research from 8 cited public sources — announcements, filings, and press listed under research sources below.

Key figures

latest reported
Brand monitoring accuracyJan 202695%
HeadcountAug 2026121
Insight source traceabilityJan 2026100%
Posts analyzed monthlyJan 2026750,000,000 posts/month
Social video coverageJan 202690%

Company-reported or press-reported figures, each dated to when it was claimed — not independently audited.

Timeline · 1

launches, deals, and filings
Jan 2026
ask-dig AI social search chat

dig markets ask-dig, a natural-language AI search and research chat interface for social content that answers questions using underlying social posts and attaches the original videos as evidence.

source ↗

Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.

In the news

Research sources · 8

primary sources listed
  • Digdig.ai · web

8 public sources were cited for this profile; the first-party ones are listed here.

Frequently asked questions

What does Dig do?
Video-first social intelligence platform that analyzes social video and images to track brand narratives and sentiment.
Who are Dig's investors?
Dig's investors include 97212 Ventures, eGateway Capital, Maccabee Ventures, New Era Capital Partners, Osage Venture Partners.