Case Studies
Real results from real projects.
We don't publish vanity metrics. Every number here comes from production systems we built and our clients validated.
Multi-channel payment gateway for a US fintech company
AcceptBlue, a US fintech company, needed a secure and versatile payment gateway capable of handling transactions across multiple channels — mobile apps, eCommerce storefronts, Point of Sale (POS) terminals, and traditional mail/telephone orders. The platform had to process high transaction volumes with sub-second latency while meeting PCI DSS Level 1 compliance. The core challenge was integrating diverse payment technologies into a single, reliable system without compromising security or user experience across any channel.
4
Payment channels unified
<1s
Transaction processing
PCI L1
Compliance level
99.99%
Uptime achieved
Healthcare insurance platform for agent compliance and retention
A leading US healthcare insurance company worked with hundreds of independent agents who sold its insurance plans through a legacy platform built on outdated technology. Policy registration was painfully slow — each registration took agents over an hour. The platform lacked remote access, so agents couldn't retrieve critical information in the field. Protected health information (PHI) compliance was at risk due to weak access controls. These usability issues frustrated agents to the point of switching to competing providers, directly impacting revenue. Meanwhile, management had no visibility into agent performance or sales trends — all analytics required manual report generation.
50%
Faster policy registration
100%
HIPAA compliance
+35%
Agent retention improvement
Self-service
BI dashboards for managers
Neuroscience-based eLearning platform for an EdTech startup
An EdTech startup had developed a concept for an education platform that helps students master subjects using neuroscience-based memorization techniques — specifically spaced repetition. They had an early prototype, but it was riddled with bugs, had a confusing interface, and lacked essential features. The platform needed to serve three distinct user types — students, teachers, and parents — each with different workflows. The startup also wanted a built-in marketplace where teachers could sell educational content. They needed a development partner who could take a rough MVP and turn it into a production-ready product under tight time-to-market constraints.
3x
User engagement increase
3
User roles (student, teacher, parent)
Built-in
Content marketplace
< 3 mo
Time to production launch
Unified admin panel for a telecom provider in New Zealand
A New Zealand-based internet, mobile, and SMS provider was managing its tech support operations across four separate admin panels. Support managers constantly switched between systems to handle customer issues — SIP trunking, fibre broadband, mobile plans, and SMS services — resulting in slow resolution times and poor customer satisfaction. The company also lacked comprehensive statistical data visualization, making it difficult to identify trends or measure team performance. On the customer side, there was no mobile app for plan management, usage tracking, or self-service support.
1
Unified admin panel (from 4)
3
Customer apps (web, iOS, Android)
40%
Faster ticket resolution
Real-time
Usage data visualization
Game analytics and feedback platform for a Seattle startup
Live Aware Labs, a Seattle-based startup in the game analytics space, operated a web portal where testers and developers collaborate on game testing. Users could stream and record gameplay, create clip slices, save and upload video files, and cooperate with developers on bug detection. However, their suite of desktop and mobile screen capture applications had accumulated significant code debt. The Windows desktop recorder suffered from degraded streaming quality and excessive CPU utilization, making it impractical for extended testing sessions. New feature development had stalled due to instability in the core codebase, and the application lacked robustness across platforms.
<1 mo
Critical issues resolved
50%
CPU usage reduction
2x
Stream quality improvement
Automated
Testing workflow
AI customer intelligence agent for a global haircare brand
A global leader in the haircare industry, known for its patented bond-building technology, faced a critical business challenge: customer feedback was scattered across Sephora, Trustpilot, and numerous other online platforms. Despite the immense potential of this data, its unstructured nature required manual analysis that took weeks. Marketing and product teams lacked a unified understanding of customer sentiment, preventing them from responding to critical business questions. Shifts in satisfaction — positive or negative — went unnoticed until they impacted revenue. Without automated review analysis, segmenting customers into distinct personas (value-conscious buyers vs. salon professionals) depended solely on internal assumptions. The client had invested in Snowflake but needed a technology partner to unlock its built-in AI capabilities.
Real-time
Sentiment tracking
5+
Review sources consolidated
NLP
Natural language queries
Automated
Customer segmentation
AI-driven logistics management platform
FastVan, a California-based logistics company serving major consumer brands, relied on manual processes for planning and managing both inbound and outbound logistics operations across multiple fulfillment centers. This manual approach resulted in inflated shipping costs, limited visibility into shipment status, and fragmented oversight that made it impossible to maintain operational coherence. As order volumes grew, the inability to optimize routes and consolidate shipments in real time became a significant competitive disadvantage.
30%
Shipping cost reduction
Real-time
Shipment visibility
End-to-end
Automated fulfillment
Centralized
Multi-location oversight
AI rooftop analysis and lead scoring for a US solar provider
A major US residential solar panel manufacturer relied heavily on door-to-door lead generation — representatives visited potential clients to assess rooftop suitability and pitch installations. As the business expanded across multiple US states, this model hit serious scalability limitations. Each new market required office space, relocation costs, insurance licenses, and sales rep onboarding — all before generating a single lead. Feasibility checks for determining which homes were appropriate for solar installation depended on costly external tools and expert judgment, lacking any automation. Field representatives' performance across metrics like pitch quality and lead conversion couldn't be tracked in real time, limiting the company's ability to coach employees or plan expansion strategically.
60%
Lower customer acquisition cost
3x
Faster market entry
AI-scored
Lead prioritization
Real-time
Rep performance tracking
AI patent drawing automation for a law firm
Patent offices worldwide — USPTO, EPO, and WIPO — enforce strict formatting rules for patent drawings: precise paper margins, line weights, scaling conventions, and view requirements, all rendered in black-and-white without shading or color. Converting CAD files into compliant patent drawings was a notoriously manual process. Law firms hired specialized illustrators to manually recreate technical drawings, a process that took over 40 hours for complex inventions. Even minor design updates meant starting from scratch. Quality varied from one draftsman to another, and formatting errors triggered costly revision cycles that delayed the entire patent filing process. After years of dealing with these inefficiencies, the client — an innovative patent law firm — reached a breaking point and began searching for an AI development partner.
95%
Time reduction per drawing
3
Patent offices supported
Drag & drop
User workflow
<5 min
Processing per drawing
B2B auction platform for refurbished hardware
Bidsheet needed a purpose-built B2B auction platform for trading bulk refurbished hardware — a niche market where existing auction tools fell short. The platform had to support four distinct user roles with different permissions: sellers listing refurbished hardware with detailed specs and real-time auction analytics, buyers placing bids with auto-bid capabilities, guests browsing with limited access, and administrators managing disputes, user accounts, and platform operations. Security was paramount — payment channels needed end-to-end encryption, and the proxy bidding system had to be algorithmically fair to prevent manipulation.
Real-time
Bid tracking
4
User roles supported
Proxy bidding
Auto-bid algorithms
E2E encrypted
Payment security
B2B vehicle auction marketplace for used car dealers
Independent used car dealers were stuck with conventional auto auctions that felt bulky, expensive, and detached from real-time inventory. Traditional auction houses charged high fees, required physical attendance, and introduced multi-day delays between a vehicle being traded in and becoming available for purchase. Dealers needed a modern, cost-effective way to source freshly traded-in vehicles directly from franchised dealerships — bypassing the costly and drawn-out engagement of traditional channels.
Direct
Dealer-to-dealer model
40%
Lower acquisition costs
Same-day
Vehicle availability
Real-time
Inventory matching
Blockchain-powered transparent donation platform
Trust in charitable organizations was declining globally. Donors had no way to verify how their contributions were being used — money went into a black box. Recipients, particularly in remote regions of developing countries, faced significant barriers accessing donated funds through traditional banking channels. The fundamental problem was a lack of transparency and traceability in the donation pipeline, from the moment a donor sends money to the point where a recipient spends it on essential needs.
100%
Donation traceability
Blockchain
Verified transactions
Global
Recipient coverage
Real-time
Donor visibility
Data management and analytics solution for a global haircare brand
A globally renowned haircare brand with an extensive retail presence needed deeper insights into product sales and customer behavior across locations. Their data infrastructure was fundamentally broken. Despite having a data warehouse on Redshift, it had never been established as a single source of truth. Data from their ERP system and Shopify eCommerce platform was fetched via web scraping — a method that produced frequent transfer errors, especially when source UIs changed. Retailer data arrived in inconsistent Excel formats, heightening the risk of human errors. Their existing Tableau analytics solution couldn't deliver reliable insights because the underlying source data was flawed. No one trusted the numbers.
Single
Source of truth established
0
Data transfer errors
Automated
ETL pipelines
Trusted
Analytics dashboards
Gen AI music learning platform (internal R&D)
Music education has long been plagued by its one-size-fits-all approach. Adult beginners with no prior training find music theory intimidating, and traditional online platforms fail to adapt to individual learning pace or answer nuanced questions without a human tutor in the background. To investigate the future of personalized education, JustSoftLab's Gen AI team launched Lyric Aria as an internal R&D project — aiming to create a fully autonomous music tutor that pushes the boundaries of agent-based AI. The main challenge: building an end-to-end system on Google Cloud Platform that could generate curriculum from scratch, interact intelligently with learners in real time, and adapt difficulty based on performance.
Autonomous
AI tutor
Adaptive
Learning paths
Multi-modal
Content generation
Real-time
AI consultation
Gen AI sales training platform for rep onboarding
A US-based startup was developing an AI-powered sales training platform to solve a pervasive industry problem: onboarding new sales representatives is slow, expensive, and dependent on senior manager availability. Each new hire required weeks of one-on-one guidance from experienced salespeople — time and resources that didn't scale. Training quality varied depending on who did the coaching. The client needed a platform that could automatically generate structured training content from existing company documentation, personalize learning paths based on each rep's background and experience level, and provide real-time AI-powered assistance during the learning process.
70%
Faster rep onboarding
Any format
Document ingestion
Personalized
Learning paths
AI-generated
Quizzes and assessments
Gen AI sales training platform with RAG architecture
Sales onboarding is notoriously slow and expensive — industry data shows 3–6 months to full productivity, with DePaul University estimating total ramp-up costs exceeding $100K per rep. The client, a US-based SaaS company, wanted to use generative AI to solve this industry-wide problem at scale. While they had deep expertise in corporate training methodology, they needed a specialized AI engineering partner to design and build the Gen AI core of their platform — one that could ingest diverse training materials, generate personalized curricula, and coach reps interactively without hallucinating product knowledge.
60%
Faster ramp-up time
0
Hallucination in quizzes
Multi-LLM
Architecture
Scalable
To thousands of reps
On-demand home healthcare platform
VisitHealth, a UK-based healthcare startup, set out to bring medical services directly to patients' homes through a real-time booking platform. The core challenge was building a system that could intelligently match patients with available doctors based on time preferences, location proximity, and budget constraints — all while maintaining strict data protection standards for sensitive medical records and providing a secure, frictionless payment experience.
Real-time
Doctor matching
Secure
Payment processing
Live
Location tracking
<2 min
Booking time
Marketplace connecting brands with influencers
In the evolving digital marketing landscape, brands struggled to find and engage the right influencers for their campaigns. The process of discovering creators by niche and market relevance, vetting their audience quality, negotiating terms, and managing binding contracts was entirely manual — spread across emails, spreadsheets, and ad-hoc communication channels. An Israel-based startup wanted to build a one-stop marketplace that handles the entire influencer marketing workflow from discovery to contract execution.
10x
Faster influencer discovery
Automated
Contract management
Curated
Influencer categories
End-to-end
Campaign management
Social media listening and endorsement platform
The influencer endorsement market was dominated by agencies catering to large corporations, leaving small and mid-size businesses without affordable access to celebrity-driven marketing. Famepick, a US-based startup, wanted to democratize the endorsement landscape — giving businesses of any scale the tools to discover creators, compare transparent pricing, and launch marketing campaigns without middlemen. The platform needed to work seamlessly across web and mobile to match how both creators and brand managers actually work.
Web + Mobile
Cross-platform
Democratized
Endorsement access
Real-time
Creator messaging
Integrated
Billing and contracts
Content subscription platform for creators
AdmireMe, a US-based startup, envisioned a content subscription platform where creators across fitness, beauty, lifestyle, and digital entertainment could monetize their work through multiple revenue channels simultaneously. The platform needed to support subscriptions, one-time tipping, and pay-per-view purchases — all targeting a global audience with secure payment processing, content protection, and scalable streaming infrastructure capable of handling concurrent media delivery.
3
Revenue channels
Global
Payment support
Scalable
Streaming infrastructure
Multi-format
Content support
Web app platform for construction companies
Sorba, a Swiss construction technology company, needed to extend their existing desktop solution into a web-based platform without disrupting their current users. The core challenge was building a web app container — essentially an aggregator of functional modules — that lets end-users cherry-pick and deploy diverse applications while sharing the same core database as the desktop application. Both platforms had to operate in sync, accessing identical data without conflicts or duplication.
Modular
App architecture
Unified
Web + desktop database
Visual
Template builder
Custom
Workflow composition
Crypto payment gateway widget for Web3 platforms
SwipeLux needed an embeddable payment widget for B2B platform integrations that simplifies cryptocurrency payment acceptance while streamlining infrastructure for crypto wallets, NFTs, and neobanking features. The widget had to integrate seamlessly into any host platform without disrupting existing UX — meaning complete style isolation and zero CSS conflicts. Additionally, it required built-in KYC/AML compliance to meet regulatory requirements across multiple jurisdictions.
Embeddable
ShadowDOM widget
KYC-ready
SumSub integration
Multi-crypto
Currency support
Fiat on-ramp
Mercuryo powered
Farm management app for Ireland and UK farmers
Farmers across Ireland and the UK faced a critical gap in farm management technology — they needed to log compliance requirements on-site in fields and barns where internet connectivity is unreliable or nonexistent. Existing tools either required constant connectivity or couldn't handle the complexity of regulatory compliance tracking for herd movements, medication records, and breeding data. The entire compliance workflow was paper-based, creating audit risks and administrative burden for thousands of farmers.
#1
Farm app in Ireland & UK
Full offline
Capability
Automated
Compliance logging
1000s
Farms using the app
Transactionless settlement system for B2B payments
Traditional B2B payment workflows are burdened by high transaction fees, slow settlement cycles, and complex multi-party reconciliation. Sawi Exchange wanted to fundamentally reimagine B2B payments by eliminating transactional overhead entirely — building a novel settlement system where obligations between parties are netted rather than processed individually. The platform needed to digitize the entire procurement-to-supply chain while providing comprehensive financial management tools for accounts payable, accounts receivable, and invoice tracking.
80%
Fewer transactions needed
Automated
Invoice reconciliation
Digital
Procurement workflow
Real-time
Financial reporting
ML-powered lead scoring for financial marketing campaigns
A US-based provider of innovative marketing services to banks and financial institutions was using ML-powered direct mail lists for lead scoring — ranking prospective customers most likely to convert. However, the ML capabilities were outsourced to an external vendor whose process was a complete "black box" — no transparency into how models scored leads, no ability to iterate on algorithms, and questionable accuracy that couldn't be independently verified. The client wanted to bring ML capabilities fully in-house with complete ownership, understanding, and the ability to continuously improve their models.
+15%
Lead scoring accuracy
In-house
ML capability
Full
Knowledge transfer
AWS-native
Pipeline deployed
Real-time fraud detection for a US payment platform
A fast-growing payment platform was losing $2M+ annually to fraudulent transactions. Their rule-based system caught less than 40% of fraud and generated excessive false positives that blocked legitimate customers.
94%
Fraud detection rate
73%
Reduction in false positives
<50ms
Scoring latency
$1.8M
Annual savings
RAG-powered clinical decision support system
A healthcare company needed to help physicians quickly find relevant clinical guidelines, drug interactions, and protocol updates across 50,000+ medical documents. Existing search was keyword-based and missed critical context.
89%
Answer accuracy (physician-rated)
4.2x
Faster information retrieval
50K+
Documents indexed
99.9%
Uptime SLA met
Unified data platform for a global logistics company
A logistics company with operations in 12 countries had data scattered across 30+ siloed systems. Reporting took weeks. No one trusted the numbers. Leadership decisions were based on gut feelings, not data.
30+
Data silos consolidated
200+
Certified metrics
85%
Reduction in reporting time
12
Countries connected
Full-stack platform rebuild for a B2B SaaS product
A 7-year-old SaaS product had accumulated so much technical debt that shipping new features took months. The monolithic PHP backend couldn't scale, the frontend was jQuery spaghetti, and deployments required a full weekend.
10x
Faster feature delivery
99.95%
Uptime (from 97%)
3s
Avg page load (from 12s)
0
Weekend deploys needed
ML-powered demand forecasting for a retail chain
A mid-size retail chain with 120+ stores was losing millions to overstock and stockouts. Their Excel-based planning couldn't account for seasonal patterns, local events, or cross-store cannibalization.
91%
Forecast accuracy (WMAPE)
28%
Inventory cost reduction
62%
Fewer stockouts
120+
Stores optimized
AI-powered personalization engine for e-commerce
A mid-market e-commerce retailer with 2M+ monthly visitors was showing the same product recommendations to everyone. Conversion rates were flat despite growing traffic.
+23%
Conversion rate increase
+18%
Average order value
<100ms
Recommendation latency
2M+
Monthly visitors served
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