BrandJet AI Acquires IGLeads for Unified Prospecting

BrandJet AI announced on August 10 that it acquired IGLeads, a no-code lead-generation platform that extracts publicly available contact data from social and web sources. Financial terms were not disclosed. According to MarTech Series, the acquisition connects IGLeads list building with BrandJet's multi-channel outreach, contact database, and AI enrichment tools.
BrandJet AI announced on August 10 that it acquired IGLeads, a no-code lead-generation platform used to collect publicly available contact data from sources including Instagram, TikTok, LinkedIn, Facebook, and Google Maps. Financial terms of the transaction were not disclosed, according to MarTech Series.
The acquisition combines IGLeads' data-extraction product with BrandJet's sales outreach platform. MarTech Series reports that IGLeads customers can send newly created lists into BrandJet outreach sequences spanning email, LinkedIn, X, WhatsApp, Instagram, and Telegram. The same report states that BrandJet customers gain access to the IGLeads extraction engine, alongside BrandJet's contact database and AI enrichment tools.
"Every GTM team runs the same relay race: scrape leads in one tool, enrich them in another, sequence them in a third, and track replies in a fourth," BrandJet co-founder and CEO Nirav H. Shah said in the announcement. "IGLeads built the best social-first lead extraction engine on the market. Bringing it into BrandJet means the race now has one runner - you find a lead in a TikTok comment section and reach them across six channels without ever exporting a CSV."
Product combination
IGLeads, founded in 2021, offers cloud-based email extraction without requiring code or locally installed software, MarTech Series reports. Its reported customer base includes marketing agencies, recruiters, real estate professionals, and in-house growth teams.
BrandJet reports that its contact database contains more than 700 million records. Startup Researcher similarly describes the deal as integrating IGLeads' social-media data extraction with BrandJet's sales-outreach capabilities, reducing the need to export and import prospect lists across separate applications.
IGLeads founder and CEO Brandon King described joining BrandJet as the product's next chapter. "Joining BrandJet is the natural next chapter. Our users have always asked, 'I have the leads - now what?' Now the answer is built in," King said in the announcement.
Relevance for sales-data workflows
The reported integration targets a common revenue-operations workflow: source discovery, contact enrichment, sequencing, and response tracking. Companies consolidating comparable functions often reduce file-based handoffs between tools, but teams still need to evaluate source quality, deduplication behavior, consent requirements, and the terms governing each data source before activating outreach.
For data and ML practitioners supporting go-to-market systems, the noteworthy technical question is whether the combined workflow preserves provenance from extracted source data through enrichment and multi-channel activation. The available reporting does not provide implementation details, integration architecture, or information on how source-specific permissions are handled.
Key Points
- 1BrandJet AI acquired IGLeads, combining social and web lead extraction with multi-channel sales outreach in one reported product workflow.
- 2The deal connects list building, enrichment, and sequencing, reducing CSV-based handoffs that commonly fragment prospecting operations across separate tools.
- 3Teams adopting comparable data workflows need provenance, deduplication, source-term, and consent controls before activating extracted contacts for outreach.
Scoring Rationale
This is a modest but relevant acquisition in sales-data and go-to-market tooling, with a reported integration of lead extraction, enrichment, and outreach. It is most consequential for practitioners building prospecting and revenue-operations workflows rather than for the broader ML ecosystem.
Sources
Public references used for this report.
Practice with real Ad Tech data
90 SQL & Python problems · 15 industry datasets
250 free problems · No credit card
See all Ad Tech problems


