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Bhash Software Labs Tech Stack

SMS and messaging platform with ML-driven campaign targeting

Software Development Bengaluru, Karnataka 201–500 employees Privately Held

Bhash runs a global SMS delivery platform connecting backend systems to mobile phones, now scaling toward AI-powered campaign optimization. The tech stack reveals a data-heavy operation: Python, Kafka, Airflow, and ML libraries (scikit-learn, PySpark) power data pipelines, enrichment, and a new AI targeting engine. The project list—forecasting models, campaign effectiveness scoring, and number intelligence graphs—shows a shift from basic SMS relay toward performance analytics and revenue optimization. Hiring is accelerating across data (2 open), sales (2), and product roles, indicating aggressive growth in both product capability and sales execution.

Tech Stack 33 technologies

Core StackPython Selenium Kafka Apache Airflow AWS Pandas NumPy scikit-learn FastAPI PySpark Postman Playwright PHP Meta Ads Google Ads Google Analytics Jira WhatsApp API Excel Google Sheets requests BeautifulSoup SQL Scrapy GCP Azure WhatsApp cURL Meta Ads Manager Linear+3 more

What Bhash Software Labs Is Building

Challenges

  • Increasing sales pipeline
  • Rapid revenue scaling
  • Cash flow control
  • Financial discipline
  • Scaling data pipelines
  • Improving campaign roi
  • Increasing sme retention
  • Targeting accuracy
  • High-volume messaging systems
  • Platform reliability and performance

Active Projects

  • Hiring throttle dashboard
  • Annual cash reserve playbooks
  • Forecasting models
  • Data ingestion pipelines
  • Data cleaning and normalization
  • Enrichment pipelines
  • Ai targeting engine
  • Campaign effectiveness score
  • Number intelligence graph
  • Large-scale messaging infrastructure

Hiring Activity

Accelerating9 roles · 8 in 30d

Department

Data
2
Sales
2
Engineering
1
Finance
1
Marketing
1
Product
1
Support
1

Seniority

Junior
3
Mid
3
Senior
2
Lead
1
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About Bhash Software Labs

Bhash provides carrier-grade SMS and mobile messaging services, connecting corporate backend systems to GSM/CDMA handsets across India and globally. The platform operates as a hosted service with plug-and-play licensing, built through partnerships with mobile operators. Core customers range from corporates to startups seeking SMS-based communication and messaging solutions. Internally, the company is managing three operational challenges: scaling data infrastructure to handle high-volume messaging, improving campaign ROI through targeting, and maintaining platform reliability as throughput increases. The current focus on data pipelines, enrichment, and ML-driven campaign scoring reflects a business model transition from connectivity provider to data-informed messaging platform.

HeadquartersBengaluru, Karnataka
Company Size201–500 employees
Hiring MarketsIndia

Frequently Asked Questions

What tech stack does Bhash Software Labs use?

Python, Kafka, Apache Airflow, FastAPI, PySpark, scikit-learn, AWS, GCP, SQL, and WhatsApp API. The stack emphasizes data processing (Pandas, NumPy, Scrapy) and infrastructure for high-volume messaging and analytics.

What is Bhash Software Labs working on?

Data pipelines, ML-driven campaign targeting, forecasting models, campaign effectiveness scoring, and a number intelligence graph. Projects also include hiring dashboards and cash reserve planning, reflecting growth and operational scaling.

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