The Venture Codex

Participated · Seed · Dec 2025

Founded in 2022 by Manas Gond and Dev Kumar, Prosperr.io offers an AI-driven platform that turns tax planning from a once-a-year chore into a continuous financial workflow. Its subscription product for individuals optimizes personal taxes, savings, and reimbursements, while its enterprise suite automates employee tax benefits and compliance management. The software relies on automation and artificial intelligence to deliver adaptive, real-time tax recommendations. With the fresh capital, the company plans to accelerate product development and deepen its AI capabilities. Prosperr.io also aims to expand its enterprise and B2B sales operations to reach more corporate clients. Although specific revenue or user numbers were not disclosed, the company positions itself as infrastructure for automated tax management across India. The firm’s SaaS model targets both consumer and business segments, giving it multiple recurring revenue streams.

Participated · Seed · Nov 2025

Founded in 2024 by Aditya Tulsian, Rajeev Chari, and Mukund Daga, AxiTrust is developing a technology-driven platform that facilitates the issuance and management of digital surety bonds in India. The system allows banks, insurers, and procurement platforms to migrate from traditional bank guarantees to insurance-backed, digital alternatives, unlocking liquidity and expanding credit access for MSMEs. By creating this scalable trust layer, the startup aims to strengthen business confidence across government and private supply chains. AxiTrust partners with leading insurers, financial institutions, and policy makers to drive broad adoption of surety-backed solutions. The company positions itself as the core infrastructure enabler of India’s emerging “surety economy,” promising faster, more secure, and more inclusive transactions. Proceeds from its recent seed funding will be used to accelerate product development, deepen integrations with financial stakeholders, and support large-scale rollout across banking, insurance, and procurement sectors. While the business is still pre-revenue, the founders emphasize a roadmap focused on nationwide deployment and MSME inclusion.

Participated · Series A · May 2025

Data Sutram offers an AI-powered platform (Trust Score) that leverages millions of digital footprints and alternative data sources to build real-time, 360-degree customer risk profiles. Its product is used to streamline customer onboarding and manage risk across the lifecycle of lending, payments, and insurance. The company serves clients in the banking, retail, and insurance sectors. Data Sutram plans to use its new funding to expand into cryptocurrency, real-time payments, gaming, e-commerce, and insurance, to enhance its AI capabilities, and to support international expansion into the Middle East and Southeast Asia. Founded in 2018 by Rajit Bhattacharya, Ankit Das, and Aisik Paul, the company is based in Mumbai, India. It raised a $9.0M Series A in May 2025. Data Sutram is a B2B SaaS platform that aggregates intelligence from more than 250 sources to help banks and financial-services companies make decisions across the customer lifecycle. Founded in 2019 by Rajit Bhattacharya, Ankit Das and Aisik Paul and headquartered in Mumbai, it focuses on answering questions on markets, consumers, businesses and risk. The platform blends GDPR-compliant data from multiple sources to address core banking challenges such as credit underwriting, fraud detection and collections. The company positions itself in the AI and SaaS-based local data platform category. Reported uses for new capital include improving product offerings and facilitating customer acquisition and financial-services use cases. Data Sutram provides an AI/ML-driven, cloud-based B2B data marketplace that aggregates location intelligence from over 250 data partners. Its proprietary engine converts unstructured sources such as satellites and mobile data into structured datasets. The company operates on a Data-as-a-Service model and serves retail, e-commerce and BFSI customers. Data Sutram is led by founders Rajit Bhattacharya, Lasik Paul and Ankit Das and is incorporated as Extrapolate Advisors Private Limited in Mumbai, Maharashtra. The startup will use new capital to expand operations into Southeast Asia and the Middle East and to invest in new data sources. As of February 2022 the company has raised $2.07M in the reported financing.

Participated · Seed · Oct 2023

KiVi is a technology platform developed at the IIT Madras Research Park to treat farming as a commercial enterprise and connect smallholders with finance and agricultural services. The company offers agronomy, input supply, buyer aggregation, financial services, logistics, quality management, risk management, and warehousing. KiVi reports having provided credit access to over 1,500 farmers and operates in Tamil Nadu and Bihar, while also offering MSME loan products to agribusiness owners. It has facilitated trade and trade finance in commodities including wheat, paddy, and maize. KiVi plans to use recent investment to develop its technology platform for scaling, expand its last‑mile footprint across several districts, and strengthen product and risk management. The company also aims to obtain an NBFC license to deepen its financial offerings.

Participated · Series A · Aug 2022

Tartan is an India-based SaaS startup offering an employee consent-driven data exchange and single-API platform for real-time work and income verification. Founded in 2021, the platform supports verification for employees, salaried workers, gig workers, and creators and enables employers to provision perks like loans, credit cards, and rewards in a single click. The company launched Batik, an employee benefits marketplace that lets employers and HR software providers offer earned wage access, salary-linked loans, credit card limit management, and emergency funds. In Aug 2022 Tartan raised $4.5M in a pre-Series A round. The startup plans to use the proceeds to improve operations, build its in-house engineering and product capabilities, and hire new talent. No operating metrics such as revenue or user counts were disclosed in the article.