Salesforce and data cloud consulting with AI-driven integrations
Teqfocus is a Salesforce and AWS consulting shop (founded 2012, ~300 employees) anchored heavily in the Salesforce ecosystem—Service Cloud, Sales Cloud, Marketing Cloud, and newer Revenue Cloud—plus MongoDB and Snowflake. Active migration work from legacy Genesys Open CTI to Genesys Cloud (CX), quote-to-contract workflow automation via Conga CPQ, and adoption of dbt signal a shift toward modern data orchestration and composable integrations. Engineering-weighted hiring (4 of 5 open roles) across India and Canada suggests they're scaling delivery capacity for mid-market CRM and cloud migration work.
Teqfocus is a digital transformation and IT consulting firm based in Sacramento, founded in 2012, serving mid-market and enterprise organizations on Salesforce implementations, managed cloud services, and data infrastructure. The company acts as a partner to Salesforce, AWS, Snowflake, Databricks, GCP, and Azure, with core offerings in CRM modernization, cloud migration, and emerging AI/data capabilities. Current project load centers on contact center transformation (Genesys Cloud integrations), CPQ-to-CLM workflows, and MongoDB observability—reflecting demand from clients upgrading legacy systems and modernizing sales processes. The team spans consulting, implementation, and managed services delivery.
Teqfocus uses Salesforce (Service Cloud, Sales Cloud, Marketing Cloud, Revenue Cloud), Genesys Cloud, MongoDB, AWS, Snowflake, MuleSoft, Conga CPQ, and orchestration tools (Terraform, Ansible, CI/CD). They are adopting dbt for data transformation.
Teqfocus specializes in Salesforce implementations (Service Cloud, Sales Cloud, Revenue Cloud), AWS and cloud migrations, managed cloud support, contact center transformation (Genesys Cloud), and data infrastructure modernization (MongoDB, Snowflake, dbt).
Teqfocus'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.