Success Stories

We built an AI system that automatically identifies relevant Reddit communities, analyzes customer discussions, and surfaces competitive intelligence.

I was managing SEO performance and hitting a wall: I could see GA4 and Search Console data, but I couldn't figure out what actually worked and what didn't. I was spending hours jumping between tools, manually cross-referencing data, trying to understand how each page performed and what needed to change.

Davenport Realty conducting routine inspections across hundreds of rental properties monthly. As their portfolio grew, their manual inspection process became unsustainable, creating delays in turnaround times and inconsistent maintenance recommendations.

Lumiwealth runs a platform where algorithmic trading bots execute trades automatically for users across stock and crypto markets. As their user base exploded, their infrastructure couldn't keep pace, bot deployments were manual and time-consuming, security was becoming a concern, and their engineering team was stretched thin managing the growing complexity.

Lumiwealth provides algorithmic trading bots that execute stock and crypto trades automatically for their users. As their customer base grew rapidly, their legacy infrastructure became a critical bottleneck, users couldn't see what their bots were doing in real-time, and the technical team was drowning in infrastructure maintenance instead of building new features.

Lumiwealth, a fintech company serving active traders, needed to transform how their clients process market information. In fast-moving markets, manual news analysis and data gathering created a competitive disadvantage, traders were spending hours researching when they should have been trading.

StartGrowth needed a fast and scalable solution to process and categorize receipts received in a wide range of formats, PDFs, images, spreadsheets, and more. The company wanted to streamline its financial operations without building a complex tech stack from scratch.

Build a backend service to streamline candidate selection by extracting and categorizing CV data, and matching freelancers with suitable projects.

Radish Events needed an efficient way to categorize and extract meaningful insights from hundreds of invoices, which were stored as images (PNG, JPEG) and PDFs. These invoices contained billing data, but the lack of structure hindered their ability to track spending patterns, manage costs, and organize records effectively.

UStyle founder wanted to stand out in a competitive market by offering an intelligent "digital wardrobe" feature. The idea was simple: users upload photos of their clothes, and the app automatically organizes everything for them.

TalPoint is an AI-first hiring assistant that transforms how businesses attract, screen, and engage candidates. More than just an applicant tracking system (ATS), TalPoint acts as a smart co-pilot for hiring teams, automating screening, scoring, communication, and decision support, so teams can focus on choosing the best talent, not managing spreadsheets or inboxes.

LumiWealth, a U.S.-based leader in algorithmic trading education, wanted to improve how their users accessed information. Their existing chatbot had limited reach, it couldn’t pull answers from the many places where LumiWealth’s content lived: Discord, GitHub, their public website, and internal files in an S3 bucket.