Ziggiz democratized enterprise-grade security for organizations ranging from Fortune 500 companies to local hospitals with one-person IT teams. Security analysts spent nearly three hours daily triaging 4,000+ alerts, with 67% going unaddressed. The team needed to reduce the operational burden of alert triage while accelerating customer onboarding and data integration. Within two weeks of outreach, Ziggiz identified and brought on Richard Abrich, a Principal AI Engineer who had led agentic AI builds for Microsoft and Cleveland Clinic. Over an 8-month engagement, he built a semantic knowledge graph to automate security data engineering work. He also delivered a natural language agent that enabled plain-language queries across the security data. Customer onboarding dropped from 9 months to 5 days. New data format integration shifted from 3–6 months to hours. The implementation automated 90% of security data engineering work, reducing manual effort required to operationalize and use security data.

Skills

Project Details

Sandow’s CEO identified untapped strategic value in years of consumer research data spread across 150+ different sources. The data lived in spreadsheets, Typeform reports, and databases, and it was only linked by phone numbers. Analysis had been manual and typically took weeks. A two-phase system was designed to turn the fragmented research into a usable intelligence foundation. LLMs were implemented to intelligently structure survey responses across sources. Dynamic SQL views were created to support natural-language business questions. In 30 days, a production-ready system was delivered that transformed Sandow’s proprietary consumer intelligence into a B2B market research platform. The unified system reduced analysis time from weeks to real-time responses. This enabled faster access to insights across the previously disconnected datasets.

Skills

Project Details

Traditional video ad production required days of manual work per asset, which limited the ability to test variations. Dicer.ai needed a faster way to generate and evaluate multiple ad concepts without relying on slow, manual workflows. The challenge was compounded by the complexity of visual AI systems compared to more mature text-based LLM approaches. Dicer.ai embedded an AI Engineer with expertise in visual AI systems. The engineer built an end-to-end competitive intelligence pipeline that mapped the market landscape and scraped competitor ads. The system analyzed top-performing ads scene-by-scene and generated multiple video variations. It also added AI-powered performance forecasting to guide which variants to produce. The solution transformed a multi-day manual process into an automated pipeline. It delivered multi-variate video ads in under 2 hours. This resulted in a 90% reduction in ad creation time. The faster turnaround enabled quicker iteration on ad variations.

Skills

Project Details

Circle Labs set out to build the world’s largest AI NPC (non-player character) library powered by user-generated content. As the platform’s growth accelerated, scalability became a critical challenge. The team faced issues that threatened reliability and the ability to meet rising demand. Experts built key product features and implemented system architecture improvements to support scale. They also addressed crucial bug fixes that impacted performance and stability. The work focused on strengthening the platform so it could handle rapidly increasing usage. Circle Labs continued to thrive as the platform scaled more effectively to meet growing user demand. Critical scalability issues were resolved to improve reliability. System architecture was redesigned and stabilized to support ongoing growth.

Skills

Project Details

Accrue Savings needed to bring an innovative consumer savings product to market. The goal was to flip the traditional BNPL model to help consumers save toward purchases rather than finance them with debt. They required a complete product built from concept to launch within a defined timeline. Accrue Savings partnered with a specialized development team to build a 'Buy Now, Pay Later for saving' application. The team delivered full product development, taking the app from initial concept through launch. The implementation focused on validating the novel approach to consumer savings and financial wellness. The team completed the product build over six months and launched the application. The app’s success contributed directly to Accrue Savings’ $30 million funding round. The funding outcome validated the product’s approach and market traction.

Skills

Project Details

After D-ID went viral partnering with MyHeritage on Deep Nostalgia, they realized they needed a mobile app fast. They faced pressure to capitalize on momentum and quickly bring the experience to mobile. They needed the right expertise to ship an MVP on an accelerated timeline. An expert mobile development team was assembled and integrated to build the Creative Reality Studio mobile app. The team delivered an MVP in five months. The app enabled users to create customized digital humans that looked, sounded, and spoke like real people. The mobile app achieved 1M downloads. It earned a 4.5 App Store rating. It won Product Hunt's Golden Kitty Award for Best Marketing & Sales Tool with 2,000 upvotes. D-ID later raised $48M from tier-1 VCs.

Skills

Project Details

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. The customer faced a gap in seamless and secure access to Web3 directly from hardware wallets. They required compatibility with Ethereum- and Polygon-based dApps and platforms. A multi-chain browser extension companion app was delivered for Ledger Live. The extension provided seamless and secure access to Web3 directly from hardware wallets. It analyzed smart contracts and warned users about potentially malicious transactions. It also simulated transactions to show wallet impact before execution and supported Ethereum- and Polygon-based dApps and platforms. The customer received a multi-chain browser extension that improved Web3 connectivity from hardware wallets. Users were warned about potentially malicious transactions through smart contract analysis. Users could preview wallet impact before execution through transaction simulation. The extension worked with Ethereum- and Polygon-based dApps and platforms.

Skills

Project Details

Mudflap, a fuel savings app for truckers offering discounts at truck stops nationwide, needed to enhance its product experience. The existing user experience across web and mobile required improvement to better support growth. The team also needed deeper visibility into user behavior to understand what drove engagement. Mudflap partnered with an external team to redesign the UX across both web and mobile platforms. The work also integrated advanced analytics tools to better understand user behavior. These changes focused on improving how users moved through key product flows and how the business measured performance. The redesign and analytics integration boosted conversion rates and improved retention metrics. Mudflap increased user engagement as a result of the updated experience. These outcomes supported the app’s goal of helping truckers save more on fuel while strengthening overall product performance.

Skills

Project Details

McGraw Hill needed to build a mobile-native learning experience that made studying more engaging and effective. They wanted to transform traditional textbook content into a modern, short-form format that students would actually use. They also had to validate the concept quickly without overcommitting resources. The team needed a path from prototype to a scaled product organization. McGraw Hill built Sharpen, a learning app described as “TikTok for studying,” to convert textbook content into bite-sized videos, swipeable study tools, and gamified quizzes. They began with a 3-person prototype team to rapidly stand up the product. As the app matured, they expanded the build effort across product management, architecture, mobile development, and growth marketing. The team scaled delivery capacity to support ongoing iteration and growth. Sharpen contributed to McGraw Hill’s reported 28% growth in digital billings. The app reached 1M+ downloads in its first year. It maintained a 4.8-star App Store rating based on 1,800+ reviews. It also delivered retention rates 30% higher than education app competitors.

Skills

Project Details

Sweeten, a renovation matchmaker connecting homeowners with vetted general contractors, needed to move fast on product development. Founder Jean Brownhill faced pressure to deliver new capabilities quickly. The company required additional engineering capacity without slowing momentum in a competitive market. A specialized external team was assembled in 48 hours to support Sweeten’s product development needs. The team integrated with Sweeten’s internal engineers and worked alongside them. The engagement focused on rapidly building and shipping a new product feature. Within 2 weeks, Sweeten developed and shipped a new feature. The fast staffing approach expanded engineering capacity without a long ramp-up. This helped the company maintain product momentum while executing quickly in the home renovation marketplace.

Skills

Project Details

PayGo aimed to bring autonomy back to journalism by removing subscription walls. The challenge was to validate whether readers would pay per article without committing to full subscriptions. The team needed a fast way to prove the model was viable. A micropayment platform concept was designed to let readers purchase individual articles. The team built a complete proof of concept to demonstrate the end-to-end experience. This implementation focused on showing that a subscription-free approach could work in practice. The effort delivered a complete proof of concept in less than a month. It demonstrated the viability of a per-article micropayment model without subscription walls. It also laid the foundation for a new approach to media monetization.

Skills

Project Details

Blank Street, a sustainable coffee company reinventing the local coffee shop, needed to build a highly custom mobile ordering app on a startup budget. The team faced the challenge of delivering a high-quality, end-to-end customer experience without the resources of a larger brand. They also needed the app to support key customer journeys for ordering and loyalty. A dedicated team fully integrated with Blank Street’s internal team and built the app from the ground up. The implementation included onboarding, navigation, payments, and rewards capabilities. The collaboration model embedded the build team as core members alongside Blank Street’s staff. The engagement delivered a fully custom mobile ordering app built from scratch while staying within a startup budget. The app included onboarding, navigation, payments, and rewards features to support ordering and loyalty. Blank Street’s founder described the team as core members who added expertise beyond what the company could have found elsewhere.

Skills

Project Details

MedArrive aimed to enable care in patients’ homes through a network of trusted EMS providers. They needed to build a core product that supported home visits and real-time collaboration between EMTs and doctors. They also required the ability to adjust resourcing as business needs changed. A specialized healthcare team embedded with MedArrive’s internal team to build the core product on Ruby on Rails. The implementation included critical components that enabled EMTs in the home and doctors on telemedicine calls to collaborate seamlessly. The resourcing approach allowed the team to flex up or down based on real-time priorities. MedArrive delivered a Ruby on Rails core product to support its home healthcare model. The solution enabled collaboration between EMTs conducting in-home care and doctors joining via telemedicine. MedArrive also retained the ability to scale the team up or down as needs evolved.

Skills

Project Details

NeoWork faced a complex transition to return-to-office and hybrid work in the post-pandemic workplace. The organization needed a comprehensive solution that supported employee wellness while maintaining team cohesion. It also required clearer visibility into team mindset and collaboration patterns to guide decisions. A prototype platform was implemented, tested, and incubated to address these needs. The solution included an employee dashboard with cognitive wellbeing tracking. It also provided network analysis to understand team mindset and collaboration patterns, plus an employee benefits marketplace. The engagement delivered 1 comprehensive return-to-office and hybrid work solution prototype for NeoWork. The platform consolidated cognitive wellbeing tracking, team mindset network analysis, and a benefits marketplace into a single experience. This helped NeoWork support organizations navigating the shift to hybrid work while prioritizing employee wellness and team cohesion.

Skills

Project Details

Clearco wanted to expand access to advice, capital, and networks for early-stage founders who were typically excluded by traditional requirements. Before ClearAngel, Clearco had funded 4,000 companies but turned down 50,000 due to a $10K minimum monthly revenue threshold. This created a gap for founders doing lower monthly revenue who still needed structured guidance and capital pathways. Clearco built a team to create ClearAngel, positioned as “the Y Combinator for the 99% of founders.” The team built a platform where users could set goals and benchmarks, build roadmaps, manage introductions, and track funding progress. The platform supported an automated approach to angel investing for smaller-revenue companies. ClearAngel became the first-ever automated angel investor for companies doing $1K+ in monthly revenue. It was backed by a $100M fund that provided $10K–$50K investments. The program used a 2% revenue share model over 4 years, enabling founders to access capital under clear, standardized terms.

Skills

Project Details

LoveStories TV, a fast-growing marketplace for finding wedding vendors, faced explosive growth that strained its existing platform. The company needed to execute a complete re-platforming to keep up with rising demand. It also had to support increasing user interest in video content without compromising the experience for couples searching for wedding professionals. To address these needs, LoveStories TV hired two teams to execute the re-platforming effort. The work focused on rebuilding the platform and launching a modern web application. The implementation centered on ensuring the site could support video content at scale while improving how vendor work was showcased. The re-platforming delivered a modern web application that supported growing user demand for video content. It also increased production capacity to help the business scale. As a result, LoveStories TV better served couples searching for wedding professionals while showcasing vendor work through high-quality video.

Skills

Project Details

When COVID-19 vaccine distribution ramped up in early 2021, Apprentice needed to rebuild an entirely new version of its manufacturing platform in just 45 days. The timeline created high delivery risk for a mission-critical system. The effort was further complicated by the need to span multiple technology stacks. To meet the deadline, Apprentice integrated 50 engineers into its core team. The engineers operated as full-time employees with full standup access. The combined team brought expertise across IoT, intelligent batch execution, augmented procedures, and immersive training. The rebuilt platform launched on time. It powered the distribution of nearly 400M COVID vaccine doses worldwide. After the launch, Apprentice raised a $100M Series C led by Insight Partners.

Skills

Project Details