Accounting integration and fintech product agency for SaaS and mid-market SMBs
Satva Solutions builds accounting integration services and fintech products for SaaS platforms and small-to-mid-market businesses. The stack is heavily Microsoft/.NET on the backend (ASP.NET Core, C#) paired with React/Node.js frontends, deployed across AWS and Azure with containerization (Docker, Kubernetes). Active hiring spans engineering, sales, and marketing with mid-to-senior-level roles, while current projects show revenue pressure: pipeline forecasting, sales playbook standardization, and client onboarding optimization indicate a shift from pure service delivery toward productized SaaS motion.
Notable leadership hires: Technical Lead
Founded in 2013 in Ahmedabad, India, Satva Solutions operates as an accounting integration and fintech development agency. The company serves two primary customer segments: SaaS product owners seeking embedded accounting connectors (QuickBooks, Xero integration) and small-to-mid-market businesses needing streamlined financial workflows. Capabilities span accounting API integrations, FinTech product development, cloud-native SaaS platforms, and staff augmentation. With 51–200 employees based in India, the company operates remotely for global clients, particularly in North America and Europe.
Primary: ASP.NET Core, C#, Node.js, React, TypeScript. Infrastructure: AWS (RDS, Lambda, ECS, CloudFront), Azure, Docker, Kubernetes. Data: MySQL, PostgreSQL, MongoDB. Auth: OAuth 2.0, JWT.
Specializes in QuickBooks Desktop integration, Xero integration, ERP systems, and third-party accounting APIs. Also develops MIS dashboards and QuickBooks data scripting solutions.
Satva Solutions's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.