This is a collection of Softlandia's applied AI case studies for SaaS companies.

Customer

• Zoined

Product:

• Analytics and dashboards with 50+ integrated data sources for retail, restaurants, and wholesale

Notable customers

• Ralph Lauren, Pizza Hut, Diageo, The Body Shop

Problem

• Zoined wanted to enable its customers to chat with their data to get new insights with real-time visual analytics.

• AI architecture was an unfamiliar territory. 

• In-house tech team was stretched thin, dealing with technical debt, product development, and issues coming from customer support. 

Solution

• Softlandia audited Zoined’s first AI data analyst bot implementation; and created a report with suggestions for going forward: AI architecture, data access control/security, UX, evaluation, and optimization.

• Softlandia provided an Applied AI team to develop the data analyst bot into a proper agentic AI engine based on the results of the initial audit.

Fun facts

• Before we started the project, Zoined CEO Sasa Moilanen referenced this video as a ballpark example about what could be built.

• Sasa is building in public and posting regular video updates on his LinkedIn profile.

Customer

• HappySignals

Product

• HappySignals is an IT Experience Management (ITXM) Platform that enables enterprise IT departments to measure, analyze, and improve end-user experiences across all IT touchpoints, make data-driven decisions, and create more value for their business users.

• The platform quantifies employee happiness and productivity, provides continuous real-time feedback, and offers actionable insights to drive improvements in IT service delivery.

Problem: 

• Leadership wants HappySignals to be the best AI-native SaaS solution in the ITXM space.

• In-house tech needed more AI expertise and resources.

• Their first simple AI feature was built in-house, but they are unsure how to move forward with more complex AI features.

Solution:

• Softlandia provided insights into their current approach.

• Conducted a workshop with the CEO, CTO, and technical team to review dashboard data and identify pain points for the next AI feature.

• Suggested an approach for additional AI features in the next release.

• Recommended external AI tools to optimize the solution.

• Advised on AI architecture.

• Helped management plan a long-term AI-native roadmap.

Customer

• ContractZen

Product

• Governance suite, including contract management, board portal, legal entity management and virtual data room, enabling businesses to streamline compliance, due diligence, and M&A while enhancing resilience, transparency, and company value.

Notable Customers:

• JCDecaux, Relex 

Problem: 

• Customers started asking for AI-enabled features in 2023 because competing legal tech companies promoted GenAI as an efficient tool and quickly introduced some features that were helpful for end users.

• ContractZen customers manually entered metadata for all imported contracts, a process that was time-consuming and inefficient.

Solution: 

• Softlandia built and implemented a scalable AI engine that automatically extracts metadata, delivering 50% time savings without hallucination issues.

• Data Privacy: Direct integration with ContractZen’s Azure environment ensured compliance with GDPR and international data protection standards.

• Softlandia delivered a fully functional solution including an API within 8 weeks of kickoff.

• By leveraging Softlandia’s expertise, ContractZen was able to maintain focus on its core product development while launching a cutting-edge AI feature faster than anticipated.

Full Case study

• Read full case study here

Customer

• Kuullas

Product

• Employee mental coaching service (matchmaking platform)  

Notable Customers

• Large multinational insurance companies, large engineering service companies (5,000+ employees)

Problem

• Kuullas wanted to build a matchmaking solution but lacked a tech team with applied AI expertise.

Solution

• Softlandia converted their existing solution from an unmaintainable system to an AI-powered recommendation engine. 

Customer

• HEISchools

Product

• Bringing Finland's renowned education system to early education and school operators worldwide.

Problem

• The customer needed guidance in selecting and developing a new AI-native learning software platform that supports easy curriculum translation.

Solution 

• Softlandia conducted a pre-study to model the initial concept of the new platform.

• Evaluated pre-selected existing platforms to determine their suitability for HEI Schools' needs.

• Created a comprehensive report to help stakeholders decide on the renewal project.