Real Clients. Real Results.

TalkDesk's sales team was manually routing SMS conversations into Salesforce , a time-consuming process that created data gaps, delayed follow-ups, and made pipeline reporting unreliable. They needed a senior Salesforce developer embedded quickly with deep SMS integration experience.

The Field Museum needed to modernize their digital presence and make 40+ million collection objects discoverable online. Their legacy system couldn't handle the scale, had no mobile experience, and offered no intelligent search , leaving millions of annual visitors with a frustrating digital experience.

Model N was scaling their revenue cloud platform to serve Fortune 500 pharma and tech clients and needed senior Java and AWS engineers fast , without the 4-month recruiting cycle that kept stalling their roadmap. Three key engineers had departed, leaving critical modules understaffed mid-sprint.

New Day USA needed a redesigned web platform to simultaneously attract veteran mortgage applicants and recruit top loan officers nationwide. Their old site had a 72% bounce rate, no mobile optimization, and a lead capture system that was losing qualified applicants before they completed the form.

Minerva Networks' engineering and product teams were drowning in manual Jira ticket management , sprint planning took 6+ hours, cross-team dependencies were invisible, and Confluence documentation was perpetually out of date. They needed automation that understood their specific workflow, not off-the-shelf plugins.

6 Pack Bags , a fast-growing fitness lifestyle brand , had outgrown their original e-commerce setup. Product discovery was poor, their mobile checkout had a 68% abandonment rate, and their catalog of 200+ SKUs was impossible to navigate without better search and filtering. They needed a complete platform upgrade without downtime.

Factorylux, a premium lighting brand for professional designers and architects, ran two separate CMS systems that needed consolidating into one Magento 2 multistore platform. Legacy Magento 1.9 carried deep customizations that had to be preserved through migration without any data loss.

Reifen-Berg, a major European auto parts retailer, needed to migrate from Magento 1.9 to Magento 2 while establishing multi-domain, multi-store operations across regional markets. Their ERP system required deep real-time integration for inventory sync and complex product import workflows.

Miche, a prestigious Italian bicycle component brand, required an online store that matched their premium identity with deep layout and design customizations. Their specialized delivery requirements demanded a custom checkout flow that existing templates couldn't accommodate.

This award-winning supplements brand was running on an aging Magento 1.14 platform that was limiting their growth. They needed a full upgrade to Magento 2 with a redesigned theme and updated extensions , but couldn't afford any revenue-impacting downtime during the transition.

What started as a single section redesign for this Bay Area liberal arts college grew into a full website overhaul encompassing admissions, academics, alumni, and events. The college needed a modern, accessible platform that could be managed by non-technical staff.

As part of AAPOS, the Children's Eye Foundation needed a digital system to allow school nurses and parents to submit children with vision problems for referrals to local eye care professionals. The referral process was entirely manual, creating delays and data gaps in a mission-critical workflow.

This Northern California nonprofit needed a functional prototype for an app to help evacuate persons with developmental disabilities during catastrophic weather events such as firestorms and earthquakes. The solution required deep accessibility research and real-time coordination features.

LakeComoHomes needed a custom booking engine to manage holiday villa rentals across France, Italy, and Switzerland under one roof. The platform had to handle multi-currency pricing, seasonal availability, and evolve continuously as the vacation rental industry changed over many years.

Fripp Island's vacation rental market had highly unique operational needs , partial payments, region-specific tax calculations, owner-guest agreements requiring digital signatures, gateway pass ordering, and complex income/expense reporting for homeowners.

Norway's Fjord Tours needed to modernize their entire digital presence , paper-based ticket validation was causing delays and fraud exposure, while their website was outdated and missing a content publishing system. All platforms needed rebuilding simultaneously.

Nubreed wanted to let event organizers (Comic Con, ISS London, etc.) consolidate hotel accommodation options for attendees through an easy-to-install website widget. Each affiliate needed a unique, branded event-specific booking page without requiring custom development per event.

Key Data Dashboard provides performance analytics for small and mid-size vacation rental operators. Their existing BI tool tracked historical metrics but lacked predictive capability , clients needed AI-driven forecasting for Occupancy Rate, Average Daily Rate, and demand patterns.

Lucien's hotel needed a single guest app replacing a fragmented set of paper forms, phone calls, and third-party booking tools. Guests needed to book rooms, access fitness programs, reserve restaurant tables, and schedule spa treatments , all from their phone.

One of the world's largest hotel tourism management companies needed a SaaS platform that could serve individual travelers, corporate organizations, and internal administrators simultaneously, with enterprise-grade data security and disaster recovery built in.

The Lastbid founder came to Cidersoft with a business concept and no technical team. We guided the entire journey from initial discovery and prototype through to a fully functional auction platform now serving buyers and sellers around the world.

Auto dealers at auctions were making buying decisions based on incomplete vehicle information and slow manual inspection workflows. Smartlane needed a mobile-first inspector tool that could pull vehicle data from multiple APIs and surface buying intelligence in real time on the auction floor.

A Silicon Valley retail tech company needed a computer vision system that could integrate with existing surveillance cameras across chain store locations to power client loyalty programs, predict foot traffic, and identify security risks in real time , including reliable detection at 50–70 degree camera angles.

This social analytics startup needed a platform capable of analyzing user relationships and behavioral patterns across social networks using graph theory, ML algorithms, and NLP. The system had to generate interest scores and relationship maps at scale across millions of nodes.

Insurance claims processing was slow, expensive, and inconsistent , requiring in-person inspections and manual documentation. This InsurTech company needed a platform supporting the full claims lifecycle with self-service, remote live video, and ML-assisted damage assessment.

This multinational company managing shelf audits for major supermarket chains needed to automate product detection and recognition on shelves at scale. Manual shelf auditing was slow, inconsistent, and unable to provide real-time retail insights across dozens of brands and sub-brands.

This European healthcare startup wanted to demonstrate that AI could assist in early diagnosis of skin disorders through image recognition. They needed a working prototype capable of impressing both AI specialists and healthcare professionals, with a clear path to production.

This San Francisco company targeting HVAC providers found that SDRs lacked consistency and confidence when pitching specific industry verticals. Manual script preparation was time-consuming and ineffective , conversion rates were suffering as a result.

Investors at this leading Chicago commercial real estate firm were spending hours manually reviewing disclosure packets with no integration of real-time market data. The process was too slow and too dependent on individual analyst skill to be competitive in a fast-moving market.