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LineSlip Solutions Tech Stack

AI-powered insurance data analytics for risk management teams

Software Development New York, NY 11–50 employees Founded 2016 Privately Held

LineSlip converts static insurance documents into structured, queryable data via LLM fine-tuning and RAG pipelines—a shift from manual Excel-based program management to automated intelligence. The tech stack reveals an LLM-native architecture (GPT, Llama, Falcon, Qwen with LoRA fine-tuning, Langchain, Pinecone, FAISS) layered atop Azure cloud and Microsoft BI tools (Power BI, SQL Server, Azure Cognitive Search). Hiring is heavily data-focused (10 of 15 roles) at senior and manager levels, consistent with active work on document intelligence, schema design, and RAG pipeline development—but elevated churn and Power BI performance bottlenecks suggest scaling challenges in the analytics delivery layer.

Tech Stack 31 technologies

Core StackPower BI Power Query SQL Server HubSpot Docker Langchain Pinecone Tableau Looker Databricks Excel Azure SQL Database SQL Server Reporting Services Azure Totango GPT Llama Falcon Qwen Unsloth LoRA QLoRA Docker Compose DeepSpeed Ray LangSmith FAISS Azure Kubernetes Service Azure Machine Learning Azure Cognitive Search+1 more

What LineSlip Solutions Is Building

Challenges

  • Standardizing complex insurance programs
  • Identifying gaps in coverage
  • Reconciling inconsistent insurance documents
  • Performance bottlenecks in power bi reports
  • Complex commercial insurance programs
  • Policy ingestion and reporting automation
  • Identifying gaps in program structures
  • Data quality & governance
  • High customer churn
  • Extracting insights from insurance data

Active Projects

  • Fine-tuning llms for insurance data
  • Ai document intelligence training
  • Structured data schema design
  • Performance bottleneck research in power bi
  • Developing rag pipelines for claims processing
  • Containerized deployment of llms on azure kubernetes service
  • Renewal comparative analysis
  • Prototype development for internal and external customers
  • Containerizing llms for azure deployment
  • Poc/pilot projects

Hiring Activity

Accelerating20 roles · 10 in 30d

Department

Data
10
Sales
2
Support
2
Finance
1

Seniority

Senior
9
Manager
4
Director
1
Mid
1

Notable leadership hires: Finance Director

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About LineSlip Solutions

LineSlip is a nine-year-old insurance technology company in New York that delivers AI-powered analytics for commercial risk management teams. The product automates the extraction and aggregation of policy data from complex, unstructured insurance documents into interactive dashboards and reports—replacing manual Excel-based workflows. The core use cases span renewal analytics, carrier relationship tracking, coverage gap identification, and strategic reporting. LineSlip operates across multiple geographies, with hiring in the U.S., Argentina, India, Pakistan, Romania, and South Africa.

HeadquartersNew York, NY
Company Size11–50 employees
Founded2016
Hiring MarketsArgentina, Pakistan, India, United States, Romania, South Africa

Frequently Asked Questions

What tech stack does LineSlip Solutions use?

LineSlip uses Power BI, SQL Server, and Azure cloud for analytics infrastructure; GPT, Llama, and Falcon LLMs with LoRA fine-tuning for document intelligence; and Langchain, Pinecone, and FAISS for RAG pipeline orchestration. Deployment runs on Azure Kubernetes Service and Databricks.

What is LineSlip Solutions working on?

Active projects include fine-tuning LLMs for insurance data extraction, building RAG pipelines for claims processing, designing structured data schemas, containerizing LLM deployments on Azure Kubernetes, and addressing Power BI performance bottlenecks in reporting.

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