Intelifaz

Intelifaz is a Buenos Aires-based custom software shop with 10 years in the business. They build web, mobile, and cloud applications for startups through Fortune 500 companies, and recently pivoted their core pitch around AI-enabled solutions. The team describes itself as "a tight knit team of highly experienced creatives, technologists and engineers," though headcount is not disclosed on the public site.

The company traces its history back to early MEAN stack adoption (Mongo, Express, Angular.js, Node.js) and pioneering single-page-application visual configurators with HTML5 and JavaScript. They've since moved toward incorporating AI into their development process from the outset. They hold two patents pending: one on machine intelligence that updates apps without human intervention, and another on using computer vision to identify phenotypic traits in wine grape vines. They've also built mat|r|script, a custom programming language for their own open-source rapid application development platform.

Services and capabilities

Intelifaz structures its AI offerings around six capability areas: Computer Vision, Actionable Insights, Natural Language Processing, Recommendation Systems, and Generative AI. They follow a seven-stage "AI-First Development Process" that runs from opportunity discovery through deployment and continuous improvement. The methodology emphasizes estimating ROI upfront, mapping use cases to business goals, and building a detailed application development plan before design and build phases.

Their service scope extends beyond AI into traditional cloud and web development. The company works with third-party AI technologies (they mention OpenAI's ChatGPT, Anthropic's Claude, and Google Bard in their customer service automation content) alongside custom-built solutions. The site indicates they conduct free strategic analysis calls for prospective clients to define scope and sizing.

On the engagement side, Intelifaz operates via Agile methodology with stated emphasis on collaboration, transparency, flexibility, and close customer involvement. They mention an "industry-leading record of team retention," though no hard numbers are given.

Notable work

Three projects appear on their portfolio: X-terroir, a computer vision and AI system providing actionable intelligence from bud break to harvest for wine quality; JourneyTrack, a cloud-based collaborative platform for user personas and customer journeys; and Office Depot, where Intelifaz transformed the company's B2C and B2B Print on Demand service.

Client testimonials come from Bud Dunbar (President, Verified Water Inc.), who praised their use of "advanced and bug-free technologies" and functional UI delivered quickly and affordably; Jean Kaske (President & CEO, Behavioral Consulting Services), noting the team's ability to understand specialized business needs and responsiveness; and Barry Kripitzer (Partner, Quantum Leaf Solutions LLC), citing excellent project management and ongoing post-launch collaboration.

How they work

The company operates through Agile sprints with stated emphasis on collaboration and transparency. Their AI-first process starts with discovery (identifying use cases and feasibility), moves through prioritization and ROI calculation, then resource planning and architecture, followed by iterative design, build, and deploy phases. Post-launch, they implement monitoring systems and establish feedback loops for continuous improvement. Free strategic analysis is offered for new prospects. No explicit pricing model is mentioned on the public site.

Team and credentials

No founder names, total headcount, or office locations are disclosed. The site mentions core values (Trust, Integrity, Technical Excellence, Delivering High Value, Innovation) and notes that their talent-centric culture has produced an "industry-leading record of team retention." No certifications (ISO, SOC 2, GDPR compliance, etc.), partner status with major cloud providers, or third-party ratings (Clutch, G2) are listed. They reference developing their own programming language (mat|r|script) as evidence of technical capability.