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Fulcrum Digital Inc Tech Stack

AI-powered digital engineering and system integration for enterprise transformation

IT Services and IT Consulting New York, NY 1,001–5,000 employees Founded 1999 Privately Held

Fulcrum Digital is a global systems integrator built around two proprietary platforms: FD Ryze (a generative AI SaaS layer for LLMs and chatbots) and FulcrumOne (a low-code development platform with 130+ pre-built components). The tech stack reveals a mature ops-heavy organization—Splunk, Dynatrace, Jenkins, Ansible, and Chef dominate the foundation—but hiring and projects show a hard pivot toward AI: they're actively adopting LangChain, LlamaIndex, RAG, SageMaker, and Vertex AI while phasing out Kafka, and their top projects cluster around productionizing ML models with CI/CD, generative AI with RAG pipelines, and ServiceNow integrations. This signals a shift from pure infrastructure services toward AI-augmented platform plays.

Tech Stack 176 technologies

Core StackPL/SQL Splunk Dynatrace Jenkins Bitbucket Ansible SQL Server Power BI AWS RDS MySQL MongoDB Java Python Groovy YAML Git Chef Sage X3 Redgate SolarWinds DPA SQL Server Integration Services SQL Server Reporting Services Azure SQL Database ITIL SQL JMeter Gatling Karate Rest Assured Cucumber+142 more
AdoptingLangChain RAG SageMaker Vertex AI Kubeflow Unit4 LlamaIndex LoRA+1 more
ReplacingKafka

What Fulcrum Digital Inc Is Building

Challenges

  • Operational gaps
  • Performance tuning
  • Automating manual processes
  • Legacy integration
  • Asset reconciliation
  • Reducing incidents over time
  • Performance bottlenecks
  • Third-party integrations
  • Budgeting and financial mapping
  • Adopting cloud-native architectures

Active Projects

  • Servicenow asset management module design
  • Payment systems development
  • Legacy system modernization
  • Third-party integrations with servicenow
  • Monitoring and alerting mechanism development
  • Productionizing ml models with ci/cd pipelines
  • Generative ai solutions with rag pipelines
  • Ci/cd pipeline automation
  • Continuous improvement of ai solutions
  • Deployment strategy governance

Hiring Activity

Accelerating55 roles · 30 in 30d

Department

Engineering
35
Ops
7
Data
3
Security
3
Support
3
Administration
1
Finance
1
Marketing
1

Seniority

Senior
24
Mid
19
Lead
6
Junior
5
Manager
1
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About Fulcrum Digital Inc

Fulcrum Digital delivers digital transformation and systems integration services to mid-market and enterprise clients across insurance, financial services, government, education, manufacturing, retail, and logistics. Founded in 1999, the company operates as a 1,001–5,000 person global organization headquartered in New York with active hiring across India, Mexico, Canada, the United States, Ireland, and the United Kingdom. Their service model spans AI integration, platform engineering, infrastructure automation, and e-commerce modernization. Core offerings include FD Ryze (generative AI SaaS for workflow automation and chatbots) and FulcrumOne (low-code platform claiming 1.5x faster delivery and 30% cost reduction). Current project focus centers on legacy modernization, ServiceNow implementation and integration, payment systems, and operationalizing ML pipelines—alongside persistent internal challenges around cloud-native adoption, performance tuning, and third-party integration complexity.

HeadquartersNew York, NY
Company Size1,001–5,000 employees
Founded1999
Hiring MarketsIndia, Mexico, Canada, United States, Ireland, United Kingdom

Frequently Asked Questions

What tech stack does Fulcrum Digital use?

PL/SQL, Splunk, Dynatrace, Jenkins, Git, Bitbucket, Ansible, Chef, Azure SQL Database, AWS RDS, Python, Java, Power BI, and SQL Server. Active adoption of LangChain, LlamaIndex, SageMaker, Vertex AI, and RAG frameworks; phasing out Kafka.

What is Fulcrum Digital working on?

ServiceNow asset management and third-party integrations; payment systems development; legacy modernization; productionizing ML models with CI/CD pipelines; generative AI solutions with RAG pipelines; monitoring and alerting systems; continuous improvement of AI solutions; and deployment governance.

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