Consulting and managed services for data, technology strategy, and digital transformation
Resultant is a 200-person consulting firm built on data analytics, technology strategy, and managed IT services. The stack reveals a dual-platform cloud posture (GCP, AWS, Azure) plus data-heavy capabilities (Databricks, Snowflake, Apache Spark, Python), mirrored in active projects around modern data platform design and AI-assisted delivery. Hiring velocity is accelerating with a 2:1 senior-to-junior ratio and notable gaps in director-level sales and engineering, suggesting aggressive scaling of delivery and GTM capacity.
Notable leadership hires: Managing Director, Sales Director
Founded in 2008 as KSM Consulting and rebranded as Resultant, the firm advises public and private sector clients on overcoming complex operational and technology challenges. Core service lines span data analytics, technology strategy assessment, managed IT services, CIO advisory, and project rescue. The client base includes PE-backed portfolio companies undergoing technology assessments and organizations tackling core system modernization, regulatory compliance, and fraud detection. Resultant operates from Indianapolis with a team of engineers, data analysts, project managers, and business consultants.
Resultant uses GCP, AWS, and Azure for cloud infrastructure; Databricks and Snowflake for data platforms; Python and Apache Spark for analytics; plus Cisco, VMware, Citrix for networking, and NetSuite, HubSpot, and ConnectWise for operations.
Active projects include GTM technology assessments for PE portfolio companies, modern data platform design, fraud detection, core system modernization, AI-assisted delivery practices, and pre-sales architecture for clients.
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Resultant'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.