AI competitive intelligence
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DAASH combines multiple research panels, social and advertising signals, and product attribute data to model sales performance, market share, and emerging trends for consumer brands. It focuses on the beauty industry, providing predictive analytics to help brands make strategic decisions.
Also known as Daash · DAASH · Daash Intelligence · daash.co
Founders & leadership
Investors · 7
Company profile
researched Aug 2026DAASH (daash.co) provides predictive commerce intelligence for the beauty sector. Its platform produces weekly views of category shifts, competitive performance and growth opportunities, presenting estimates at SKU, product, brand and category level. Example outputs shown on its site include sales estimates, unit-sold estimates and product "velocity" figures broken out by category (makeup, skincare, hair), product category (bronzer, face serum, concealer, dry shampoo), and product attributes such as shade, ingredient, benefit and shade count.
The company describes combining several data inputs to model sales performance, market share and emerging trends: multiple consumer research panels covering more than 6 million shoppers, social and advertising trend signals used to gauge changes in consumer exposure, and enrichment of brands and products with attribute data. It also partners with individual brands to test and train its algorithms. Customers use the product to benchmark performance against competitors and subcategory leaders, size categories, evaluate retailer rankings (including real-time estimates for Sephora products), inform product and innovation roadmaps, and refine marketing messaging ahead of and after launches.
Business model
DAASH sells a subscription-style intelligence platform to brands and other beauty-industry organizations, with access obtained through a sales-led process ("Book a Demo" / intro call).
Traction
The website presents testimonials and case studies from beauty companies and executives, including Tatcha, Sol de Janeiro, Supergoop!, DamDam Tokyo and others, describing use for benchmarking, launch planning and partner pitches.
▸Full profile — market position, technology, go-to-market
Market position
Positions itself as a beauty-specific competitive intelligence source that fills gaps left by syndicated data providers, particularly for emerging brands and brands with limited distribution.
Sector focus on beauty, SKU-level real-time sell-out estimates for major retailers, and attribute-level trend detection (ingredients, benefits, claims, shades) rather than general-purpose competitive research.
Technology
The platform aggregates multiple consumer research panels covering more than 6 million shoppers, social and advertising trend signals, and product/brand attribute enrichment, using algorithms trained and tested in partnership with individual brands to produce estimated sales, units and market-share figures.
Go-to-market
Demo-led enterprise sales via the website ("Book a Demo", "Book an Intro Call"), supported by customer testimonials and case studies from named beauty brands.
Beauty brands, manufacturers and investors, including emerging brands with limited distribution as well as established makeup, skincare, haircare, body and sun-care brands; users cited include founders/CEOs, CMOs, marketing and product marketing leaders, and account teams.
Compiled by commissioned research from 14 cited public sources — announcements, filings, and press listed under research sources below.
Key figures
latest reportedCompany-reported or press-reported figures, each dated to when it was claimed — not independently audited.
Timeline · 3
launches, deals, and filingsThe AI-powered predictive commerce intelligence platform secured $5.5 million in a second seed round, bringing total funding to $8.25 million, to scale engineering and go-to-market teams and accelerate product development.
$5.5M source ↗
Following its second seed round, the company said it was in expansion mode and would extend coverage from the prestige market into mass beauty, personal care, and health and wellness over the coming quarters.
Silicon Road Ventures and New Stack Ventures led a $2.75 million seed round, with Red Bike Capital, Willow Growth Partners and OpenSky Ventures participating, to improve platform accuracy and scale go-to-market in CPG.
$2.8M source ↗
Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.
▸Research sources · 14
primary sources listed
- AI competitive intelligencedaash.co · web
- Daash: Commerce Intelligence Platform Company Raises $5.5 Million (Second Seed)pulse2.com · web
14 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does AI competitive intelligence do?
- DAASH is an AI-powered competitive intelligence platform for the beauty industry, modeling sales, market share and trends.
- Who founded AI competitive intelligence?
- AI competitive intelligence was founded by Melissa Munnerlyn, Philip Smolin.
- Who are AI competitive intelligence's investors?
- AI competitive intelligence's investors include Bullpen Capital, Entrepreneur Ventures, GFT Ventures, Hypothesis, New Stack Ventures, Red Bike Capital, Silicon Road Ventures.