Projects that deliver results

The client had an outdated corporate image that didn't reflect their technological value proposition, creating market confusion and difficulty attracting investors.

We developed a complete brand architecture: new value proposition, cohesive visual system, brand guidelines and consistent application across all digital and physical touchpoints.

The client's online store had a cart abandonment rate above 78% and a mobile experience that frustrated users, directly impacting revenue.

We conducted real user research, created a scalable design system, iteratively prototyped and developed the new platform in Next.js with performance optimization.

The marketplace had low organic visibility and an unsustainable cost per acquisition in paid campaigns, limiting its growth capacity.

We executed a complete technical audit, designed content cluster architecture, implemented Google Ads campaigns with automated bidding and optimized landing pages for conversion.

The law firm received a high volume of initial inquiries that overwhelmed the legal team, delaying active case management and losing potential new clients.

We developed an AI-powered virtual assistant trained in legal terminology, automatic inquiry classification by practice area, intelligent appointment scheduling and escalation to specialized attorneys.

The client managed their sales pipeline entirely manually, with leads getting lost due to lack of follow-up and an overwhelmed sales team.

We implemented automated workflows with predictive lead scoring, personalized email sequences based on lead behavior and real-time performance dashboards.

The client's course platform had a high dropout rate because content was generic and didn't adapt to each student's level or interests.

We redesigned the user experience, implemented an AI-powered recommendation engine, created adaptive learning paths and added a gamification system to maintain engagement.

The client needed a high-performance website that would not only rank on Google but also be cited by generative AI engines. Their previous monolithic WordPress site loaded in 4+ seconds, lacked structured data and was invisible to AI assistants.

We implemented headless architecture: WordPress as CMS + Next.js frontend with ISR. We applied GEO (Generative Engine Optimization) techniques based on Princeton research: complete Schema.org structured data (Person, Organization, Article, FAQPage), verifiable E-E-A-T signals, citations with named sources, inline statistics and indexable documentation. We created canonical pages (/how-it-works, /use-cases, /faq) optimized to be referenced by LLMs.

The client's e-commerce relied on manual campaigns with low personalization. Abandoned carts went unrecovered, there was no audience segmentation and promotions were sent in bulk without considering individual shopper behavior.

We implemented automated cart recovery flows, segmented welcome sequences, repurchase campaigns based on customer lifecycle and AI-powered personalized product recommendations. We integrated email, SMS and push notifications into an omnichannel strategy with real-time behavioral triggers.

The client published a weekly newsletter and YouTube podcast but lacked capacity to distribute that content across social media. The entire process was manual, inconsistent and didn't follow a defined brand framework.

We implemented two automated AI pipelines: one for repurposing newsletters into LinkedIn posts following the brand's copywriting frameworks, and another for generating shorts from video podcast episodes with AI-generated B-roll. We also built a custom Next.js dashboard to centralize all distribution metrics in one place.

The client's sales team spent hours daily manually searching for prospects on LinkedIn and databases without a standardized process. Leads weren't enriched, there was no automated qualification and the CRM was filled with contacts lacking context.

We built an automated n8n workflow customized to the client's ICP that prospects, filters and qualifies leads autonomously. We integrated an enrichment node with multiple data sources so each lead arrives in the CRM with full context: role, company, size, technologies and buying signals. The system delivers 10 qualified SQLs per sales team member every day.