Insart

Insart company information, Employees & Contact Information

Updated May 2026

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Insart is a Software Development company and founded in 1993. It has approximately 84 employees on record. Contact data was last refreshed in May 2026. Find Insart's verified employee emails, phone numbers, headquarters address, and key decision makers below.

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INSART is a Fintech Business Accelerator. We develop data-rich, AI/ML-based, cloud-native Fintech solutions for fintechs, connect Founders with the right Investors, accelerate GTM strategy and demand generation, and provide strategic guidance and coaching. E-mail to: vas.solo@insart.com or sales@insart.com Fintech expertise: - PayTech, Payments, Payment Processing, Money Movement, Money Remittance - WealthTech, Robo-Advisors, Personal Finance, Wealth Management - Asset Management, Investment & Savings - LendTech, Lending, Financing, Refinancing, Embedded Finance, Alternative Loans, BNPL - Accounting, Corporate Finance, Payroll & Benefits - Trading, Capital Markets - Digital Banking, Neobanks, BaaS - Crowdfunding Fundraising Platforms - InsurTech, Insurance - Real Estate, Mortgages - Nonprofits, Donations, Social Good - RegTech, Compliance, Legal - Cybersecurity, AML, KYC, Identity, Fraud & Risk Management - Healthcare financial services - Marketing for financial services Software Solutions: - Enterprise multilayer software service-oriented architecture design and MVP development from scratch. - Architecture design and implementation of new enterprise-grade features, components, functionality and optimization for the existing software services. - Legacy systems re-factoring, re-architecting, and re-engineering, including a shift from the monolith to microservices architecture, improved UI/UX, and performance optimization. - APIs development, optimization & integration of third-party services. - Data-driven solutions, ELT, ETL, big data analytics, data warehousing, real-time data processing, peak high load control & optimization, data APIs integration, entity map-reduce, and stored procedures. - MLOps, ML solutions, data analytics & reporting, Data DevOps, and data engineering. - Cloud migration, cloud infrastructure, DevOps, CI/CD implementation & optimization. - Establish and execute end-to-end QA automation and regression testing.
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