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Saarthee Tech Stack

Data and AI consulting firm with tool-agnostic analytics practice

Business Consulting and Services Philadelphia, Pennsylvania 51–200 employees Founded 2015 Privately Held
saarthee.ai LinkedIn

Saarthee is a strategy and analytics consulting firm built around a platform-agnostic approach to data transformation. The tech stack—spanning AWS, Azure, GCP, Salesforce, Databricks, and emerging GenAI tools (OpenAI API, LangChain, Hugging Face)—reflects a multi-cloud, polyglot consulting model. Active engineering-heavy hiring (19 roles) combined with heavy project focus on ETL pipelines, orchestration, and RAG systems signals a shift from traditional consulting toward productized data-platform delivery and AI-native workflows.

Tech Stack 200 technologies

Core StackAWS Salesforce Pardot Google Analytics SQL Server Python Azure Data Factory Databricks Informatica BigQuery MLflow PySpark Pandas LangChain PyTorch TensorFlow Java .NET Figma Sketch Azure GCP Azure Synapse Analytics Azure Repos SQLAlchemy Requests OpenAI API Hugging Face Transformers LinkedIn Recruiter Adobe XD+170 more

What Saarthee Is Building

◆Challenges

  • High-volume distributed payment systems
  • Scaling ai platform
  • Resistance to change
  • Scaling product stack
  • Improving recruitment efficiency
  • Diversity hiring
  • Expanding growth across multiple markets
  • Reducing customization overhead
  • Generating high-quality leads
  • Cost optimization of cloud resources

▲Active Projects

  • Ai-native workflow orchestration
  • Build dashboards
  • Enterprise integrations with cloud platforms
  • Design and implement scalable etl/elt pipelines using azure data factory, databricks, and synapse analytics
  • Build and maintain data pipelines ingesting from salesforce, pardot, google analytics, and sql server into the data lake
  • Automate complex data workflows using orchestration tools and ci/cd via azure git
  • Generative ai solutions for saarthee products and client platforms
  • Retrieval-augmented generation (rag) systems for knowledge retrieval
  • Genai pipelines from data preprocessing to inference
  • Reusable data quality framework

Hiring Activity

Accelerating35 roles · 8 in 30d

Department

Engineering
19
Data
5
Sales
4
Product
3
HR
2
Marketing
2
Ops
1

Seniority

Senior
19
Mid
8
Lead
7
Intern
1
Staff
1

Notable leadership hires: Technical Lead

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About Saarthee

Saarthee delivers strategy, analytics, and technology consulting to mid-market and enterprise organizations navigating data maturity. Founded in 2015 and based in Philadelphia, the firm positions itself as a vendor-independent guide through the data and AI landscape, working across AWS, Azure, GCP, and major SaaS platforms (Salesforce, Pardot, Google Analytics). Core service areas include data pipeline design, analytics platform implementation, and increasingly, generative AI solutions (RAG systems, AI-native orchestration). The company operates with a distributed team, with active hiring in India alongside U.S. operations.

HeadquartersPhiladelphia, Pennsylvania
Company Size51–200 employees
Founded2015
Hiring MarketsIndia

Frequently Asked Questions

What tech stack does Saarthee use?

Saarthee spans cloud (AWS, Azure, GCP), data warehousing (Databricks, BigQuery, Azure Synapse), orchestration (Azure Data Factory), and GenAI tools (OpenAI API, LangChain, Hugging Face Transformers, PyTorch, TensorFlow).

What is Saarthee working on?

Current projects include AI-native workflow orchestration, scalable ETL/ELT pipelines on Azure and Databricks, RAG systems for knowledge retrieval, and generative AI platform solutions for internal and client use.

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How this profile is built

Saarthee'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.