A.Team

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A.Team is a marketplace that connects enterprises with elite AI engineers and builders to deploy production AI systems in weeks. They offer embedded talent and end-to-end AI solutions with pre-built agentic components, no vendor lock-in, and clients always retain IP ownership.

Est.2020
New York, New York, United States
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Industrial Manufacturing
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HC Score
57
A.TeamA.Team

About A.Team

About A.Team

A.Team is the execution infrastructure that turns AI strategy into business results, serving as the intelligence layer for AI transformation. The company connects leading enterprises with elite builders and agentic systems to move from strategy to measurable impact in weeks, not years. Founded on the simple idea that teams matter, A.Team enables builders to team up and build applications that will change the world. The platform offers two main paths: embedding expert talent into existing teams or launching complete AI systems from prototype to production. With a focus on eliminating vendor lock-in and ensuring clients always own their IP, A.Team delivers purpose-built, industry-specific solutions. Recognized by Fast Company's World Changing Ideas 2023 and Inc. Power Player One 2023 as a leader in AI & Data, A.Team has built products and custom solutions for 500+ organizations worldwide, including Fortune 500 enterprises and high-growth startups. The leadership team blends startup speed with enterprise depth to forge the future of work—one breakthrough system at a time.

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Verified (HC)
57

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verified business cases

Trust Signals
Customers
Confidential: Ziggiz
Confidential: Sandow
Confidential: Dicer.ai
Solution Details
Industries
FinanceIndustrial ManufacturingInvestment Banking
Customer Regions
EUGLOBALMENA
Talent Regions
GLOBAL
Key Features
Curated MatchEnterprise GradeNiche Expertise

Products

Showcase the products and solutions offered by A.Team

AI Systems

Custom AI systems built by industry experts. From voice agents and market data agents to legal document analysis and due diligence automation. Enterprise-grade AI solutions deployed in weeks, not years, with strategy-to-deployment expertise.

Voice Agents for customer service

Market Data Agents for intelligence

Legal Document Agents for analysis

Best for:CTO, CIO, CPO

Pricing

Custom enterprise pricing

Hire Individual Talent

Access elite AI & tech talent on demand. Connect with specialized engineers, product managers, designers, and AI experts for project-based engagements. Pre-vetted professionals from top companies like Google, Meta, and Apple available within 48 hours.

48-hour talent matching

Pre-vetted elite professionals

Flexible engagement models

Best for:CTO, CIO, TA

Pricing

Custom pricing based on talent level and engagement duration

Hire Project Teams

Build complete expert teams matched to your industry and project needs. Get autonomous, CPO-level led teams that integrate seamlessly with your organization. Teams span software architects, product managers, mobile developers, designers, and growth marketers.

Industry-specific expert matching

Complete team assembly (3-27+ builders)

Autonomous team leadership

Best for:CPO, CTO, CIO

Pricing

Custom pricing - typically 66% less than agency rates

Historical Performance

Tracking the performance of the solution based on what's most important to you
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Ziggiz logo
Business Case

Cuts customer onboarding from 9 months to 5 days

Ziggiz

Ziggiz democratizes enterprise-grade security for organizations ranging from Fortune 500 companies to local hospitals with one-person IT teams. Security analysts spend nearly three hours daily triaging 4,000+ alerts, with 67% going unaddressed. Within two weeks of outreach, A.Team identified Richard Abrich, a Principal AI Engineer who led agentic AI builds for Microsoft and Cleveland Clinic. Over 8 months, he built a semantic knowledge graph that automates 90% of security data engineering work and a natural language agent enabling plain-language queries. Customer onboarding dropped from 9 months to just 5 days, and new data format integration went from 3-6 months to hours.

Key Results
  • Onboarding: 9 months → 5 days
  • Data integration: 3-6 months → hours
  • 2 weeks to find ideal engineer

Skills

Cybersecurity
Industry
Cybersecurity
Skill
Data Engineering
Skill
HR Operations
Skill
Machine Learning
Skill

Project Details

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Oct 15, 2024
Self Reported
Sandow logo
Business Case

Transforms 150+ data sources into real-time B2B intelligence platform in 30 days

Sandow

Sandow's CEO recognized untapped strategic value in years of rich consumer research data sprawled across 150 different sources—spreadsheets, Typeform reports, databases—linked only by phone numbers. Analysis was manual and took weeks. A.Team brought on Richard Abrich, who designed a two-phase system using LLMs to intelligently structure survey responses and dynamic SQL views for natural language business questions. In just 30 days, he delivered a production-ready system transforming Sandow's proprietary consumer intelligence into a novel B2B market research platform—reducing analysis from weeks to real-time response.

Key Results
  • 30-day 0-to-1 build
  • 150+ data sources unified
  • Weeks → real-time analysis

Skills

Consumer Research
Industry
Research
Skill

Project Details

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Aug 15, 2024
Self Reported
Dicer.ai logo
Business Case

Achieves 90% faster ad creation

Dicer.ai

Traditional video ad production requires days of manual work per asset, limiting ability to test variations. Dicer.ai partnered with A.Team to embed an AI Engineer with expertise in visual AI systems—a less mature domain than text-focused LLMs. The A.Teamer built an end-to-end competitive intelligence pipeline that maps market landscape, scrapes competitor ads, analyzes top-performing ads scene-by-scene, and generates multiple video variations with performance forecasting. The system transformed multi-day manual processes into an automated pipeline delivering multi-variate video ads in under 2 hours—a 90% reduction in ad creation time.

Key Results
  • 90% faster ad creation
  • Multi-day → under 2 hours
  • End-to-end competitive intelligence pipeline

Skills

Marketing Technology
Industry
Machine Learning
Skill
Process Improvement
Skill
Sales Development
Skill

Project Details

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Apr 10, 2024
Self Reported
Circle Labs logo
Business Case

Largest AI NPC library

Circle Labs

Circle Labs, an innovative generative AI startup, aimed to create the world's largest AI NPC (non-player character) library driven by user-generated content. As their platform's growth skyrocketed, the company faced critical scalability challenges. A.Team's experts built key features, designed system architecture improvements, and addressed crucial bug fixes so Circle Labs could continue to thrive and scale effectively to meet rapidly growing user demand.

Key Results
  • World's largest AI NPC library
  • Critical scalability issues resolved
  • System architecture redesigned

Skills

Gaming/AI
Industry
Machine Learning
Skill

Project Details

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Feb 15, 2024
Self Reported
Accrue Savings logo
Business Case

Builds 'BNPL for saving' app, contributes to $30M funding

Accrue Savings

Accrue Savings partnered with A.Team to develop an innovative 'Buy Now, Pay Later for saving' application—flipping the BNPL model to help consumers save toward purchases rather than finance them with debt. Over six months, the A.Team built the complete product from concept to launch. The app's success contributed directly to Accrue Savings' successful $30 million funding round, validating the novel approach to consumer savings and financial wellness.

Key Results
  • 6-month complete build
  • $30M funding round achieved
  • Novel 'BNPL for saving' concept

Skills

Fintech
Industry

Project Details

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Jun 15, 2023
Self Reported
D-ID logo
Business Case

Launches generative AI mobile app MVP in 5 months, wins Golden Kitty Award

D-ID

After D-ID went viral partnering with MyHeritage on their Deep Nostalgia technology, they realized they needed a mobile app—fast. A.Team assembled and integrated expert mobile developers who delivered an MVP in just five months. The Creative Reality Studio mobile app enables users to create customized digital humans that look, sound, and speak like real people. The app achieved 1M downloads, a 4.5 App Store rating, and won Product Hunt's Golden Kitty Award for Best Marketing & Sales Tool with 2,000 upvotes. D-ID has since raised $48M from tier-1 VCs with customers including Warner Brothers and Publicis.

Key Results
  • 5-month MVP delivery
  • 1M downloads
  • 4.5-star App Store rating

Skills

Generative AI
Industry
Machine Learning
Skill
Mobile Development
Skill
Software Engineering
Skill

Project Details

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Jun 15, 2023
Self Reported
Ledger logo
Business Case

Builds browser extension for hardware wallet Web3 connectivity

Ledger

Ledger, one of the world's largest cold storage crypto wallet providers, needed a browser extension companion app for Ledger Live to improve Web3 connectivity. A.Team built the Ledger Extension—a multi-chain browser extension providing seamless and secure access to Web3 directly from hardware wallets. The extension analyzes smart contracts and warns users about potentially malicious transactions, and simulates transactions to show wallet impact before execution. It's compatible with Ethereum- and Polygon-based dApps and platforms.

Key Results
  • Multi-chain browser extension built
  • Smart contract security analysis
  • Transaction simulation feature

Skills

Crypto/Web3
Industry

Project Details

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Mar 16, 2023
Self Reported
Mudflap logo
Business Case

Redesigns fuel app UX, improves conversion and retention

Mudflap

Mudflap, a fuel savings app for truckers that provides discounts at truck stops nationwide, partnered with A.Team to enhance their product experience. The A.Team redesigned the UX across both web and mobile platforms and integrated advanced analytics tools to better understand user behavior. These improvements significantly boosted conversion rates and retention metrics, helping truckers save more on fuel while growing Mudflap's user engagement.

Key Results
  • Complete UX redesign (web + mobile)
  • Improved conversion metrics
  • Enhanced retention rates

Skills

Transportation/FinTech
Industry
Data Analysis
Skill

Project Details

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Mar 15, 2023
Self Reported
McGraw Hill logo
Business Case

Builds 'TikTok for studying' app with 28% digital billing growth

McGraw Hill

McGraw Hill partnered with A.Team to build Sharpen, a mobile-native learning app dubbed 'TikTok for studying' that transforms textbook content into TikTok-style bite-sized videos, swipeable study tools, and gamified quizzes. Starting with a 3-person prototype team, they scaled to 27 builders spanning product managers, software architects, mobile developers, and growth marketers. The app led McGraw Hill's earnings report with 28% growth in digital billings, achieved 1M+ downloads in the first year, and maintains a 4.8-star rating with retention rates 30% higher than education app competitors.

Key Results
  • 28% growth in digital billings
  • 1M+ downloads in first year
  • 4.8-star App Store rating (1,800+ reviews)

Skills

Education
Industry
Mobile Development
Skill
Social Media Marketing
Skill
Software Engineering
Skill

Project Details

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Jan 24, 2023
Self Reported
Sweeten logo
Business Case

Develops new product feature in 2 weeks

Sweeten

Sweeten, the renovation matchmaker connecting homeowners with vetted general contractors, partnered with A.Team to rapidly build new product capabilities. Founder Jean Brownhill needed to move fast on product development. A.Team assembled a specialized team in just 48 hours who integrated seamlessly with Sweeten's internal team. Within 2 weeks, they developed and shipped a new feature. The rapid deployment model enabled Sweeten to scale their engineering capacity on-demand while maintaining their momentum in the competitive home renovation marketplace.

Key Results
  • Team assembled in 48 hours
  • New feature developed in 2 weeks
  • On-demand engineering scale

Skills

Home Renovation
Industry

Project Details

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Jan 15, 2023
Self Reported
PayGo logo
Business Case

Journalism platform

PayGo

Waze CEO Noam Bardin assembled an A.Team to build PayGo—a new platform aiming to bring autonomy back to journalism by eliminating subscription walls. The vision was to create a micropayment system allowing readers to pay per article rather than commit to full subscriptions. PayGo's A.Team created a complete proof of concept in less than a month, demonstrating the viability of the subscription-free journalism model and laying the foundation for a new approach to media monetization.

Key Results
  • Proof of concept in <1 month
  • Founded by Waze CEO
  • Subscription wall elimination

Skills

Media/Journalism
Industry

Project Details

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Sep 15, 2022
Self Reported
Blank Street logo
Business Case

Builds custom mobile ordering app on startup budget

Blank Street

Blank Street, a sustainable coffee company reinventing the local coffee shop, needed to build a highly-custom mobile ordering app on a startup budget. A.Team fully integrated with Blank Street's internal team and built an app from the ground up with onboarding, navigation, payments, and rewards capabilities. As founder Issam stated: 'Our A.Team is not a group of 3rd-party contractors—they are core members of our team & family, adding a level of expertise better than we could have found anywhere else.' The app puts cafes in the cloud, coding community and loyalty into its DNA.

Key Results
  • Full custom app built from ground up
  • Onboarding, navigation, payments, rewards
  • Startup budget execution

Skills

Retail
Industry
HR Operations
Skill

Project Details

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Jun 15, 2022
Self Reported
MedArrive logo
Business Case

Builds home healthcare app with EMS-doctor telemedicine collaboration

MedArrive

MedArrive's mission is to bring more humanity to healthcare by enabling care in patients' homes through a network of trusted EMS providers. A.Team specialized in healthcare embedded with MedArrive's internal team to build out the core product on Ruby on Rails and critical components enabling EMTs in the home and doctors on telemedicine calls to seamlessly collaborate. The team appreciates the ability to flex A.Team up or down depending on real-time business needs. As they stated: 'Marlon has been an integral part of our MedArrive team since the beginning and is truly a pleasure to work with.'

Key Results
  • Ruby on Rails core product
  • EMT-doctor telemedicine integration
  • Flexible team scaling

Skills

Healthcare
Industry

Project Details

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Mar 15, 2022
Self Reported
NeoWork logo
Business Case

Prototypes return-to-office solution

NeoWork

A.Team prototyped, tested, and incubated NeoWork—a comprehensive return-to-office and hybrid work solution designed for the post-pandemic workplace. The platform features an employee dashboard with cognitive wellbeing tracking, network analysis of team mindset and collaboration patterns, and an employee benefits marketplace. The solution helps organizations navigate the complex transition to hybrid work while prioritizing employee wellness and team cohesion.

Key Results
  • Employee wellbeing dashboard
  • Cognitive wellbeing graph
  • Team mindset network analysis

Skills

Enterprise Software
Industry
Data Analysis
Skill
HR Operations
Skill

Project Details

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Jan 15, 2022
Self Reported
Clearco logo
Business Case

Builds ClearAngel platform for early-stage founders

Clearco

Clearco built an A.Team to create ClearAngel—described as 'the Y Combinator for the 99% of founders' who wouldn't traditionally have access to advice, capital, or networks. Before ClearAngel, Clearco funded 4,000 companies but turned down 50,000 due to $10K minimum monthly revenue requirements. The A.Team built a platform where users can set goals & benchmarks, build roadmaps, manage introductions, and track funding progress. ClearAngel became the first-ever automated angel investor for companies doing $1K+ monthly revenue, backed by a $100M fund providing $10K-50K investments for 2% revenue share over 4 years.

Key Results
  • $100M fund deployed
  • $10K-50K investments
  • First automated angel investor

Skills

Fintech
Industry

Project Details

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Oct 15, 2021
Self Reported
LoveStories TV logo
Business Case

Re-platforms wedding marketplace to scale video content demand

LoveStories TV

LoveStories TV, one of the fastest growing marketplaces for finding wedding vendors, needed to execute a complete re-platforming to handle their explosive growth. After hiring two A.Teams, the company was able to scale production capacity and launch a modern web application supporting their growing user demand for video content. The re-platforming enabled LoveStories TV to better serve couples searching for wedding professionals while showcasing vendor work through high-quality video.

Key Results
  • Complete platform rebuild
  • Two A.Teams deployed
  • Video content platform scaled

Skills

Media/Marketplace
Industry
Recruiting
Skill
Web Development
Skill

Project Details

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Aug 15, 2021
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Apprentice logo
Business Case

Rebuilds vaccine manufacturing platform in 45 days, powers 400M doses

Apprentice

When COVID-19 vaccine distribution ramped up in early 2021, Apprentice needed to build an entirely new version of their manufacturing platform in just 45 days—a task complicated by spanning multiple tech stacks. A.Team integrated 50 engineers with Apprentice's core team, treating them as full-time employees with full standup access. The combined expertise in IoT, intelligent batch execution, augmented procedures, and immersive training enabled Apprentice to launch on time, powering distribution of nearly 400M COVID vaccine doses worldwide. Apprentice subsequently raised a $100M Series C led by Insight Partners.

Key Results
  • 45-day complete platform rebuild
  • 50 engineers integrated
  • ~400M vaccine doses powered

Skills

Healthcare Technology
Industry
Supply Chain
Skill

Project Details

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Mar 15, 2021
Self Reported
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Human Cloud is a global workforce advisory firm that helps Fortune 500 companies future-proof their workforces through cloud-driven talent solutions. Led by CEO Matthew Mottola and Head of Enterprise Strategy Tony Buffum, the firm has been at the forefront of AI, talent platforms, and enterprise adoption since 2012.

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