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Eucloid Data Solutions Tech Stack

Data, martech, and AI consulting for enterprise platform implementation

Business Consulting and Services New York 201–500 employees Founded 2020 Privately Held

Eucloid Data Solutions is a consulting firm built around three core pillars: martech ecosystem design, enterprise data platform engineering, and production AI deployment. The tech stack reveals dual expertise: classical data infrastructure (Spark, Hadoop, Airflow, Kafka, Snowflake, Databricks) paired with modern LLM/vision tooling (GPT, Llama, Qwen-VL, PyTorch, vLLM, Triton). Current project focus on reinforcement learning frameworks and vision-language model scaling, combined with active pain points around multimodal production deployment and cloud cost optimization, signals the firm is pushing beyond traditional data consulting into AI systems work—a strategic pivot reflected in heavy hiring of senior and principal data talent.

Tech Stack 59 technologies

Core StackGoogle Analytics Heap Python Apache Spark Hadoop AWS Kubernetes PyTorch Databricks Snowflake Apache Kafka Apache Airflow Scala Amplitude Tableau GCP Qwen-VL Llama GPT LoRA QLoRA vLLM Triton Inference Server Azure Vertica Dremio Bash AWS EMR Adobe Analytics Salesforce CDP+29 more

What Eucloid Data Solutions Is Building

Challenges

  • Tracking implementation gaps
  • Consent management compliance
  • Scaling multimodal models to production
  • Optimizing latency throughput cost
  • Optimising cloud spend
  • Scaling large-scale data platforms
  • Ensuring data quality and lineage
  • Optimizing big data platform performance
  • Integrating data from multiple sources
  • Automating recurring reporting

Active Projects

  • New data product development for customer data platform
  • A/b testing initiatives
  • Website analytics tracking implementation
  • Seo/aeo audits
  • Reinforcement learning platform development
  • Marketing analytics data solutions
  • Next-generation vision-language model systems
  • Rlhf framework development
  • Scalable vlm deployment
  • Build rlhf frameworks for vlm

Hiring Activity

Accelerating10 roles · 8 in 30d

Department

Data
6
Engineering
1
Marketing
1
Product
1

Seniority

Senior
5
Lead
2
Mid
1
Principal
1
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About Eucloid Data Solutions

Eucloid Data Solutions helps mid-to-large enterprises close the gap between data investment and measurable business outcomes. The firm operates across three interconnected practices: Martech (customer intelligence and growth ecosystems), Data (platforms, migrations, governance, pipelines), and AI (production analytics and decision systems). Work spans BFSI, Retail, Healthcare, and Consumer Goods sectors, primarily across India and the US. As a Databricks Premier Consulting Partner, the firm also maintains deep integration with Adobe, AWS, Azure, and GCP. The consulting model supports full lifecycle engagements—from platform selection and pilot programs through enterprise-wide rollout and adoption.

HeadquartersNew York
Company Size201–500 employees
Founded2020
Hiring MarketsIndia

Frequently Asked Questions

What tech stack does Eucloid Data Solutions use?

Core data stack: Spark, Hadoop, Airflow, Kafka, Snowflake, Databricks, GCP, AWS, Azure. Analytics: Google Analytics, Amplitude, Tableau, Adobe Analytics, Heap. AI/ML: PyTorch, GPT, Llama, Qwen-VL, vLLM, Triton Inference Server, Kubernetes. Data tools: Scala, Vertica, Dremio, AWS EMR.

Is Eucloid Data Solutions hiring?

Yes. 11 active roles across data (6), engineering (1), marketing (1), product (1). Seniority mix: senior (5), lead (2), principal (1), mid (1). Hiring velocity is accelerating. All current roles are in India.

What is Eucloid Data Solutions working on?

Customer data platform development, A/B testing infrastructure, marketing analytics solutions, website tracking implementation, SEO/AEO audits, reinforcement learning platforms, vision-language model systems, RLHF frameworks, and scalable VLM deployment.

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How this profile is built

Eucloid Data 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.