Digitap.ai Tech Stack

AI/ML APIs for fintech customer onboarding and risk management

Financial Services Bengaluru, Karnataka 51–200 employees Founded 2019 Privately Held

Digitap.ai builds AI/ML-powered APIs for fintech onboarding, KYC, and risk management workflows. The tech stack spans mobile (Android/iOS) and backend (Python, PyTorch, TensorFlow, AWS/GCP), with active containerization adoption (Docker, Kubernetes) signaling infrastructure scaling. Heavy sales hiring (13 roles) relative to engineering (10) reflects a land-and-expand motion, while project velocity centers on SDK development, credit scoring models, and client integration—classic B2B API plays. Pain-point clustering around enterprise acquisition and large fintech client onboarding suggests GTM friction at deal close.

Tech Stack 89 technologies

Core StackKotlin Java Swift Python AWS MySQL Redis MongoDB Flask FastAPI scikit-learn PyTorch TensorFlow NumPy Android iOS Android SDK Objective-C Retrofit RxJava Room Webview Gradle ProGuard CocoaPods Swift Package Manager AVFoundation CoreLocation Azure GCP+57 more

AdoptingDocker Kubernetes

What Digitap.ai Is Building

◆Challenges

New enterprise client acquisition
Acquiring large fintech clients
Scaling solutions in market
Client adoption
Upselling existing customers
Product feedback loop
Opportunity identification due to regulatory changes
Market share expansion in bfsi
Smooth onboarding
Client onboarding challenges

▲Active Projects

Api integration
Client onboarding
Credit scoring model development
Poc development
Digitap event participation
Web sdk development for external integration
Client-facing sdk development
Upsell new products and solutions launched by digitap
Product demos for new leads
Scalable model deployment pipelines

Hiring Activity

Steady35 roles · 10 in 30d

Department

Sales

Engineering

Support

Data

Marketing

Product

Seniority

Mid

Junior

Manager

Senior

Notable leadership hires: Lead Generation Executive

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About Digitap.ai

Digitap.ai provides API-driven AI/ML solutions for regulated financial-services use cases: customer onboarding, KYC verification, income/employment checks, risk assessment, and account aggregation. The company targets internet-native fintechs and traditional financial institutions in India, selling modular services accessible via REST APIs. At 51–200 employees with steady hiring velocity across sales, engineering, and support, the business operates a classic B2B fintech infrastructure model—combining proprietary ML models with compliance-grade tooling to reduce friction in customer acquisition and risk workflows.

HeadquartersBengaluru, Karnataka

Company Size51–200 employees

Founded2019

Hiring MarketsIndia

Frequently Asked Questions

What tech does Digitap.ai use for ML and APIs?

Backend stack includes Python, PyTorch, TensorFlow, and scikit-learn for modeling; Flask and FastAPI for API servers; AWS, Azure, and GCP for cloud infrastructure; MySQL, Redis, and MongoDB for data persistence.

What are Digitap.ai's main product areas?

LOS and customer onboarding suite; employment/income verification; account aggregator solutions; risk management and credit scoring; KYC, DigiLocker, and digital signature services—all exposed as APIs.