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Case studies

Problem → tech solution → measurable result. From Clutch-verified engagements to hands-on DevOps ownership.

SoftPay. Payments / FintechPayments / Fintech★ Clutch verifiedSoftPaySoftPay, a US payment gateway, needed PCI DSS certification under real budget and timeline constraints. Without slowing the business down.Damsol Pvt Ltd. Financial Services / CryptoFinancial Services / Crypto★ Clutch verifiedDamsol Pvt LtdDamsol was launching a crypto application for Indian users but lacked the in-house AWS expertise to host and run it reliably.Scratchie. Safety-tech SaaS (Australia)Safety-tech SaaS (Australia)ScratchieScratchie needed a partner to take full ownership of its cloud servers and DevOps so the founding team could focus on the product.Builderpad. Construction SaaSConstruction SaaSBuilderpadBuilderpad wanted to streamline its development and release process to ship features faster.CapiFin Technologies. Fintech / NBFC LendingFintech / NBFC LendingCapiFin TechnologiesCapiFin was processing 3,200 personal loan applications per month entirely manually. Document collection, CIBIL pulls, eligibility calculation, and LOS data entry consuming 14 FTE-days per month. Month-end backlogs regularly hit 400+ applications, pushing approval TAT to 5–7 days and triggering borrower drop-off.Go Inspect. Proptech · Building Inspection SaaSProptech · Building Inspection SaaSGo InspectGo Inspect's building-inspection app on AWS was running up high costs. And a security issue had caused AWS to temporarily disable their instance.The Credit Pros. Fintech · Credit ServicesFintech · Credit ServicesThe Credit ProsAs a credit-repair platform handling highly sensitive financial data, The Credit Pros needed continuous assurance that customer data stayed protected. Without slowing the product down.PayKickStart. Payments · SaaSPayments · SaaSPayKickStartA subscription-payments platform can't afford downtime or slow, risky releases. Every deploy touches revenue.MedAssist TPA Services. Healthcare / Insurance TPAHealthcare / Insurance TPAMedAssist TPA ServicesMedAssist was manually processing 1,800 insurance claims and 600 prior authorization requests per month across three insurer portals. Each with a different UI, different data formats, and different submission rules. Average claim processing time was 22 minutes. A team of 11 was spending 80% of their time on data entry and portal navigation, with a 6.2% error rate triggering claim rejections and rework.SocialEyes Corporation. TechnologyTechnologySocialEyes CorporationSocialEyes needed its systems to stay secure and compliant as it scaled. Without a full in-house security team.Builder AI. AI · Software Composition PlatformAI · Software Composition PlatformBuilder AIAn AI platform shipping constantly needs Kubernetes that behaves the same on every cluster and every cloud. Without a platform team burning out on cluster babysitting.Pectus Finance. Fintech · FP&A SaaSFintech · FP&A SaaSPectus FinanceA finance product can't afford snowflake environments. Pectus needed infrastructure that any engineer could reason about, reproduce, and audit. On any cloud the business chooses.Biene IT GmbH. IT Services · GermanyIT Services · GermanyBiene IT GmbHA German IT services firm answers to clients who ask hard questions about data residency and security posture. Biene IT needed a partner who treats European hosting and information security as one problem, not two.Property Scout. Proptech · StartupProptech · StartupProperty ScoutAn early-stage proptech needs startup economics. Infrastructure that costs hundreds, not thousands, a month. Without giving up monitoring, backups and a real deployment pipeline.Nexgen IT Solutions. IT ServicesIT ServicesNexgen IT SolutionsNexgen was onboarding 200+ engineers per year across 8 systems. Active Directory, GSuite, Jira, GitHub, Slack, VPN, the internal project tool, and a client access portal. Manual IT provisioning took 6–8 hours per new joiner, was error-prone (wrong group permissions on 1 in 5 joiners), and caused first-day delays that damaged new hire experience and delayed project allocation by an average of 1.8 days.
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